The impact of computerized provider order entry systems on medical-imaging services: a systematic review

Adoption by clinicians of electronic order communications in NHS secondary care: a descriptive account

BACKGROUND

Due to the rapid advancement in information technology, changes to communication modalities are increasingly implemented in healthcare. One such modality is Computerised Provider Order Entry (CPOE) systems which replace paper, verbal or telephone orders with electronic booking of requests. We aimed to understand the uptake, and user acceptability, of CPOE in a large National Health Service hospital system.

METHODS

This retrospective single-centre study investigates the longitudinal uptake of communications through the Prescribing, Information and Communication System (PICS). The development and configuration of PICS are led by the doctors, nurses and allied health professionals that use it and requests for CPOE driven by clinical need have been described.Records of every request (imaging, specialty review, procedure, laboratory) made through PICS were collected between October 2008 and July 2019 and resulting counts were presented. An estimate of the proportion of completed requests made through the system has been provided for three example requests. User surveys were completed.

RESULTS

In the first 6 months of implementation, a total of 832 new request types (imaging types and specialty referrals) were added to the system. Subsequently, an average of 6.6 new request types were added monthly. In total, 8 035 132 orders were requested through PICS. In three example request types (imaging, endoscopy and full blood count), increases in the proportion of requests being made via PICS were seen. User feedback at 6 months reported improved communications using the electronic system.

CONCLUSION

CPOE was popular, rapidly adopted and diversified across specialties encompassing wide-ranging requests.

Medical Imaging Decision And Support (MIDAS): Study protocol for a multi-centre cluster randomized trial evaluating the ESR iGuide

OBJECTIVES

Medical imaging plays an essential role in healthcare. As a diagnostic test, imaging is prone to substantial overuse and potential overdiagnosis, with dire consequences to patient outcomes and health care costs. Clinical decision support systems (CDSSs) were developed to guide referring physicians in making appropriate imaging decisions. This study will evaluate the effect of implementing a CDSS (ESR iGuide) with versus without active decision support in a physician order entry on the appropriate use of imaging tests and ordering behaviour.

METHODS

A protocol for a multi-center cluster-randomized trial with departments acting as clusters, combined with a before-after-revert design. Four university hospitals with eight participating departments each for a total of thirty-two clusters will be included in the study. All departments start in control condition with structured data entry of the clinical indication and tracking of the imaging exams requested. Initially, the CDSS is implemented and all physicians remain blinded to appropriateness scores based on the ESR imaging referral guidelines. After randomization, half of the clusters switch to the active intervention of decision support. Physicians in the active condition are made aware of the categorization of their requests as appropriate, under certain conditions appropriate, or inappropriate, and appropriate exams are suggested. Physicians may change their requests in response to feedback. In the revert condition, active decision support is removed to study the educational effect.

RESULTS/CONCLUSIONS

The main outcome is the proportion of inappropriate diagnostic imaging exams requested per cluster. Secondary outcomes are the absolute number of imaging exams, radiation from diagnostic imaging, and medical costs.

TRIAL REGISTRATION NUMBER

Approval from the Medical Ethics Review Committee was obtained under protocol numbers 20-069 (Augsburg), B 238/21 (Kiel), 20-318 (Lübeck) and 2020-15,125 (Mainz). The trial is registered in the ClinicalTrials.gov register under registration number NCT05490290.

Identification of barriers at the primary care provider level to improve inflammatory breast cancer diagnosis and management

The purpose of this study, based in the United States, was to evaluate knowledge gaps and barriers related to diagnosis and care of inflammatory breast cancer (IBC), a rare but lethal breast cancer subtype, amongst Primary Care Providers (PCP) as they are often the first point of contact when patients notice initial symptoms. PCP participants in the Duke University Health System, federally qualified health center, corporate employee health and community practices, nearby academic medical center, Duke physician assistant and advanced practice nurse leadership program alumni were first selected in a convenience sample and for semi-structured interviews (n = 11). Based on these data, an online survey tool was developed and disseminated (n = 78) to assess salient measures of IBC diagnosis, health disparity factors, referral and care coordination practices, COVID-19 impact, and continuing medical education (CME). PCP reported access to care and knowledge gaps in symptom recognition (mean = 3.3, range 1-7) as major barriers. Only 31 % reported ever suspecting IBC in a patient. PCP (n = 49) responded being challenged with referral delays in diagnostic imaging. Additionally, since the COVID-19 pandemic started, 63 % reported breast cancer referral delays, and 33 % reported diagnosing less breast cancer. PCP stated interest in CME in their practice for improved diagnosis and patient care, which included online (53 %), lunch time or other in-service training (33 %), patient and provider-facing websites (32 %). Challenges communicating rare cancer information, gaps in confidence in diagnosing IBC, and timely follow-up with patients and specialists underscores the need for developing PCP educational modules to improve guideline-concordant care.

Impact of computerised provider order entry on the quality and quantity of clinical information included with investigation requests: an interrupted time series analysis

INTRODUCTION

Relevant clinical information is vital to inform the analytical and interpretative phases of most investigations. The aim of this study is to evaluate the impact of implementation of computerised provider order entry (CPOE), featuring order-specific electronic order entry forms (eOEFs), on the quality and quantity of clinical information included with investigation requests.

METHODS

The CPOE module of a commercially available electronic health record (Cerner Millennium) was implemented at a large, tertiary care centre. The laboratory information management system was interrogated to collect data on specimens sent for microbiological culture 1 year before implementation of CPOE (2018), immediately post implementation (2019) and 6 months post implementation (2020). An interrupted time series analysis was performed, using text mining, to evaluate the quality and quantity of free-text clinical information.

RESULTS

In total, 39 919 specimens were collected from 16 458 patients. eOEFs were used to place 10 071 out of 13 735 orders in 2019 (73.3%), and 9155 out of 12 229 orders in 2020 (74.9%). No clinical details were included with 653 out of 39 919 specimens (1.6%), of which 22 (3.4%) were ordered using eOEFs. The median character count increased from 14 in 2018, to 41 in 2019, and 38 in 2020. An anti-infective agent was specified in 581 out of 13 955 requests (4.2%) in 2018; 5545 out of 13 735 requests (40.4%) in 2019; and 5215 out of 12 229 requests (42.6%) in 2020. Ciprofloxacin or piperacillin-tazobactam (Tazocin) were mentioned in the clinical details included with 421 out of 15 335 urine culture requests (2.7%), of which 406 (96.3%) were ordered using eOEFs. Subsequent detection of in vitro non-susceptibility led to a change in anti-infective therapy for five patients.

CONCLUSIONS

Implementation of CPOE, featuring order-specific eOEFs, significantly and sustainably improves the quality and quantity of clinical information included with investigation requests, resulting in changes to patient management that would not otherwise have occurred.

Assessing Knowledge and Barriers at the Primary Care Provider Level that Contribute to Disparities in Inflammatory Breast Cancer Diagnosis and Treatment

Purpose

The purpose of this study was to evaluate knowledge gaps and barriers related to diagnosis and care of inflammatory breast cancer (IBC), a rare but most lethal breast cancer subtype, amongst Primary Care Providers (PCP) as they are often the first point of contact when patients notice initial symptoms.

Methods

PCP participants within Duke University Health System, federally qualified health center, corporate employee health and community practices, nearby academic medical center, Duke physician assistant, and nurse leadership program alumni were first selected in a convenience sample (n=11) for semi-structured interviews (n=11). Based on these data, an online survey tool was developed and disseminated (n=78) to assess salient measures of IBC diagnosis, health disparity factors, referral and care coordination practices, COVID impact, and continued medical education (CME).

Results

PCP reported access to care and knowledge gaps in symptom recognition (mean = 3.3, range 1-7) as major barriers. Only 31% reported ever suspecting IBC in a patient. PCP (n=49) responded being challenged with referral delays in diagnostic imaging. Additionally, since the COVID-19 pandemic started, 63% reported breast cancer referral delays, and 33% reported diagnosing less breast cancer. PCP stated interest in CME in their practice for improved diagnosis and patient care, which included online (53%), lunch time or other in-service training (33%), patient and provider-facing websites (32%).

Conclusions

Challenges communicating rare cancer information, gaps in confidence in diagnosing IBC, and timely follow-up with patients and specialists underscores the need for developing PCP educational modules to improve guideline-concordant care.

Are Electronic Notifications in Imaging Order Communication Systems an Effective Means of Changing Clinicians' Behaviour?

Introduction Order Communication Systems (Ordercomms) are computer applications used to enter diagnostic and therapeutic patient care orders and view test results. These electronic systems allow the integration of Clinical Decision Support Systems (CDSS). CDSS are computer applications designed to aid clinicians in making diagnostic and therapeutic decisions in patient care (e.g. can notify clinicians of best practice guidelines when requesting investigations or prescribing medications). The aims of this study were to determine whether electronic notifications (via Ordercomms) are effective in improving clinician compliance with the Ottawa Rules in plain radiographs requesting for ankle trauma, and the efficacy of electronic notifications in reducing inappropriate imaging requests. Methods The Ottawa Rules are a globally validated clinical decision tool with a sensitivity of 99%-100% for ankle fractures. When used, they can reduce the number of unnecessary radiographs by 30%-40%. Importantly, the Royal College of Radiologists stipulates that a patient must fulfill the Ottawa Rules in order to proceed with a plain radiograph of the ankle in trauma. A retrospective analysis of 366 plain ankle radiographs was performed to exclude bony injury in the emergency department between February and March 2018. Information gathered included patient demographics, the request form completed by the emergency department clinician, and radiology report. A pop-up reminder was then implemented on the electronic requesting system to prompt clinicians to apply the Ottawa Ankle Rules and document their plain radiograph request accordingly. Following the intervention, a further 473 plain radiographs were analysed in the same way over a three-month period (April-June 2018). Results In the two months prior to the intervention, 366 plain radiographs were performed for ankle trauma. Of these, 45.1% fulfilled the Ottawa Rules. In the three months following our intervention, 473 plain radiographs were carried out. There was no significant increase in the percentage of requests fulfilling the Ottawa Rules (45.7%). Unnecessary radiographs (those which did not fulfill the Ottawa Rules and consequently showed no fracture) also showed no change. The data demonstrates that the electronic reminder asking individuals to apply and document the Ottawa Rules appropriately had no impact on the imaging requesting behaviour, and subsequently on the number of unnecessary plain radiographs. Conclusion Electronic notifications in Order Communication Systems did not change clinicians' behaviour in this specific circumstance. This study has implications for electronic notifications in prescribing systems and pathology requesting systems. Further research is needed to determine if the findings are replicated with other imaging types.

Pharmacy practice in hospital settings in GCC countries: Prescribing and transcribing

Purpose

To outline hospital pharmacy practices across the Gulf Cooperation Councils (GCC) countries' hospitals.

Methods

A modified survey questionnaire was prepared from the original 2019 American Society of Health-System Pharmacist (ASHP) survey questions. Survey details were discussed with some pharmacy directors for clarity and relevance. A list of hospitals were obtained from the Ministry of Health of each of the targeted GCC countries. A secure invitation link containing a survey questionnaire was sent to the participants directly.

Results

Sixty four hospitals responded to this survey. The overall response rate was 52%. About 47% of the surveyed hospitals considered their drug formularies as closed, and strict. Additionally, only 44% of hospitals compare the effectiveness of products, when taking formulary decisions for drug inclusion. Forty-four percent of hospitals have computerized prescriber order entry (CPOE / EHR) system functionality for formulary system management. At about 39.1% hospitals, pharmacists have the responsibility for managing medication therapies, majority were engaged in providing anticoagulation therapies. About 61% of hospital pharmacies in GCC countries receive medication orders electronically, through CPOE/EHR. Majority (66%) of the hospitals in GCC countries have an active Antimicrobial Stewardship Program (ASP) while only 40% of pharmacists have a key role in providing clinical support. About 57.8% of hospital pharmacy directors reported that pharmacists do not provide ambulatory care clinical pharmacy services in their hospitals.

Conclusion

In GCC countries' hospitals, there are major areas for improvement to patient care of which pharmacists are uniquely qualified as the medication experts to have the most meaningful outcomes in all of the domains of safe medication use, medication therapy management, antimicrobial stewardship program and participation in outpatient clinics.

Streamlining the Quantitative Metrics Workflow at a Comprehensive Cancer Center

INTRODUCTION

The objective of the project was to describe an efficient workflow for quantifying and disseminating tumor imaging metrics essential for assessing tumor response in clinical therapeutic trials. The clinical research utility of integration of the workflow into the electronic health record for radiology reporting was measured before and after the intervention.

MATERIALS AND METHODS

A search of institutional clinical trial databases was performed to identify trials with radiology department collaborators. Investigator initiated trials, or those which lacked a standardized or automated system of collaboration with the research team were selected for the study. A web based application integrated in the electronic health record platform, the Quantitative Imaging Analysis Core (QIAC) initiative was established as a divisional resource with institutional support to provide standardized and reproducible imaging metrics across the institution. The turnaround time for radiology reports before (phase 1) and after web based application workflow (phase 2) was measured. During our test period (November 2014 to June 2015), a total of 68 requests with 37 from phase 1 and 31 from phase 2 were analyzed for patients who were enrolled in prospective clinical therapeutic interventional trials.

RESULTS

The mean turnaround time for generation of quantitative tumor metric results after implementation of the web based QIAC workflow (phase 2) was significantly lower than prior (phase 1) (15.9 ± 21.3 vs 31.7 ± 35.4 hours, p= 0.0005). The mean time from the scan to the preliminary assessment was 19.6 ± 25.6 hours before and significantly reduced to 8.0 ± 9.9 hours with implementation of web based QIAC workflow.

CONCLUSION

Implementation of a web based QIAC workflow platform enabled significantly improved turnaround time for quantitative tumor metrics reports and enabled faster access to the reports.

International Council for Standardisation in Haematology (ICSH) recommendations for collection of blood samples for coagulation testing

This guidance document has been prepared on behalf of the International Council for Standardisation in Haematology (ICSH). The aim of the document is to provide guidance and recommendations for collection of blood samples for coagulation tests in clinical laboratories throughout the world. The following processes will be covered: ordering tests, sample collection tube and anticoagulant, patient preparation, sample collection device, venous stasis before sample collection, order of draw when different sample types need to be collected, sample labelling, blood-to-anticoagulant ratio (tube filling) and influence of haematocrit. The following areas are excluded from this document, but are included in an associated ICSH document addressing processing of samples for coagulation tests in clinical laboratories: sample transport and primary tube sample stability; centrifugation; interfering substances including haemolysis, icterus and lipaemia; secondary aliquots-transport and storage; and preanalytical variables for platelet function testing. The recommendations are based on published data in peer-reviewed literature and expert opinion.

Improving Patients' Medication Adherence and Outcomes in Nonhospital Settings Through eHealth: Systematic Review of Randomized Controlled Trials

Background

Electronic health (eHealth) refers to the use of information and communication technologies for health. It plays an increasingly important role in patients’ medication management.

Objective

To assess evidence on (1) whether eHealth for patients’ medication management can improve drug adherence and health outcomes in nonhospital settings and (2) which eHealth functions are commonly used and are effective in improving drug adherence.

Methods

We searched for randomized controlled trials (RCTs) on PubMed, MEDLINE, CINAHL, EMBASE, EmCare, ProQuest, Scopus, Web of Science, ScienceDirect, and IEEE Xplore, in addition to other published sources between 2000 and 2018. We evaluated the studies against the primary outcome measure of medication adherence and multiple secondary health care outcome measures relating to adverse events, quality of life, patient satisfaction, and health expenditure. The quality of the studies included was assessed using the Cochrane Collaboration’s Risk of Bias (RoB) tool.

Results

Our initial search yielded 9909 records, and 24 studies met the selection criteria. Of these, 13 indicated improvement in medication adherence at the significance level of P<.1 and 2 indicated an improved quality of life at the significance level of P<.01. The top 3 functions that were employed included mechanisms to communicate with caregivers, monitoring health features, and reminders and alerts. eHealth functions of providing information and education, and dispensing treatment and administration support tended to favor improved medication adherence outcomes (Fisher exact test, P=.02). There were differences in the characteristics of the study population, intervention design, functionality provided, reporting adherence, and outcome measures among the included studies. RoB assessment items, including blinding of outcome assessment and method for allocation concealment, were not explicitly reported in a large number of studies.

Conclusions

All the studies included were designed for patient home-based care application and provided a mechanism to communicate with caregivers. A targeted study population such as older patients should be considered to maximize the public health impact on the self-management of diseases.

Trial Registration

International Prospective Register of Systematic Reviews (PROSPERO) CRD42018096627; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=96627

Joint Design with Providers of Clinical Decision Support for Value-Based Advanced Shoulder Imaging

BACKGROUND

Provider orders for inappropriate advanced imaging, while rarely altering patient management, contribute enough to the strain on available health care resources, and therefore the United States Congress established the Appropriate Use Criteria Program.

OBJECTIVES

To examine whether co-designing clinical decision support (CDS) with referring providers will reduce barriers to adoption and facilitate more appropriate shoulder ultrasound (US) over magnetic resonance imaging (MRI) in diagnosing Veteran shoulder pain, given similar efficacies and only 5% MRI follow-up rate after shoulder US.

METHODS

We used a theory-driven, convergent parallel mixed-methods approach to prospectively (1) determine medical providers' reasons for selecting MRI over US in diagnosing shoulder pain and identify barriers to ordering US, (2) co-design CDS, informed by provider interviews, to prompt appropriate US use, and (3) assess CDS impact on shoulder imaging use. CDS effectiveness in guiding appropriate shoulder imaging was evaluated through monthly monitoring of ordering data at our quaternary care Veterans Hospital. Key outcome measures were appropriate MRI/US use rates and transition to ordering US by both musculoskeletal specialist and generalist providers. We assessed differences in ordering using a generalized estimating equations logistic regression model. We compared continuous measures using mixed effects analysis of variance with log-transformed data.

RESULTS

During December 2016 to March 2018, 569 (395 MRI, 174 US) shoulder advanced imaging examinations were ordered by 111 providers. CDS "co-designed" in collaboration with providers increased US from 17% (58/335) to 50% (116/234) of all orders (p < 0.001), with concomitant decrease in MRI. Ordering appropriateness more than doubled from 31% (105/335) to 67% (157/234) following CDS (p < 0.001). Interviews confirmed that generalist providers want help in appropriately ordering advanced imaging.

CONCLUSION

Partnering with medical providers to co-design CDS reduced barriers and prompted appropriate transition to US from MRI for shoulder pain diagnosis, promoting evidence-based practice. This approach can inform the development and implementation of other forms of CDS.

An overview of clinical decision support systems: benefits, risks, and strategies for success

Computerized clinical decision support systems, or CDSS, represent a paradigm shift in healthcare today. CDSS are used to augment clinicians in their complex decision-making processes. Since their first use in the 1980s, CDSS have seen a rapid evolution. They are now commonly administered through electronic medical records and other computerized clinical workflows, which has been facilitated by increasing global adoption of electronic medical records with advanced capabilities. Despite these advances, there remain unknowns regarding the effect CDSS have on the providers who use them, patient outcomes, and costs. There have been numerous published examples in the past decade(s) of CDSS success stories, but notable setbacks have also shown us that CDSS are not without risks. In this paper, we provide a state-of-the-art overview on the use of clinical decision support systems in medicine, including the different types, current use cases with proven efficacy, common pitfalls, and potential harms. We conclude with evidence-based recommendations for minimizing risk in CDSS design, implementation, evaluation, and maintenance.

Clinical decision support for high-cost imaging: A randomized clinical trial

There is widespread concern over the health risks and healthcare costs from potentially inappropriate high-cost imaging. As a result, the Centers for Medicare and Medicaid Services (CMS) will soon require high-cost imaging orders to be accompanied by Clinical Decision Support (CDS): software that provides appropriateness information at the time orders are placed via a best practice alert for targeted (i.e. likely inappropriate) imaging orders, although the impacts of CDS in this context are unclear. In this randomized trial of 3,511 healthcare providers at Aurora Health Care, we study the impacts of CDS on the ordering behavior of providers. We find that CDS reduced targeted imaging orders by a statistically significant 6%, however there was no statistically significant change in the total number of high-cost scans or of low-cost scans. The results suggest that the impending CMS mandate requiring healthcare systems to adopt CDS may modestly increase the appropriateness of high-cost imaging.

Reducing pediatric asthma hospital length of stay through evidence-based quality improvement and deployment of computerized provider order entry

Objective: Evaluate the impact of multi-component quality improvement for pediatric asthma care focusing on serial use of an evidence-based clinical pathway via paper order sets, pathway integration into computerized provider order entry (CPOE), use of a clinical respiratory score (CRS) and a discharge checklist. Methods: Outcomes were assessed over three intervention periods and 50 months on: time to beta-agonist and steroid first administration, frequency of readmissions and hospital length of stay. A general linear model estimated mean log(LOS) over time and between study periods. Time to discharge was transformed using the natural logarithm. Results: No improvements in time to first beta-agonist or steroid administration were observed. There was a reduction in 100-day readmissions (p = 0.008): decreasing from 7.4 to 2.1% after introduction of paper order sets and CRS (adjusted p = 0.04); to 3.9% after CPOE implementation (adjusted p = 0.53) and to 2.2% when a discharge checklist was added (adjusted p = 0.01). There was a statistically significant reduction in LOS between study periods (p = 0.015). The geometric mean LOS in hours during study periods 1-4 were: 34.8 (95% CI: 32.2, 37.6), 29.3 (95% CI: 27.5, 31.3), 29.0 (95% CI: 27.0, 31.3) and 23.1 (95% CI: 22.1, 24.2). Pair-wise comparisons between periods were statistically significant (adjusted p ≤ 0.003), except for Periods 2 and 3 (adjusted p = 0.83). Conclusions: Hospital length of stay and 100-day readmissions rate in a predominantly Hispanic, Medicaid patient population were reduced by utilization of an evidence-based best practices asthma management pathway and CRS within CPOE, combined with a checklist to expedite discharge.

Explaining variations in test ordering in primary care: protocol for a realist review

INTRODUCTION

Studies have demonstrated the existence of significant variation in test-ordering patterns in both primary and secondary care, for a wide variety of tests and across many health systems. Inconsistent practice could be explained by differing degrees of underuse and overuse of tests for diagnosis or monitoring. Underuse of appropriate tests may result in delayed or missed diagnoses; overuse may be an early step that can trigger a cascade of unnecessary intervention, as well as being a source of harm in itself.

METHODS AND ANALYSIS

This realist review will seek to improve our understanding of how and why variation in laboratory test ordering comes about. A realist review is a theory-driven systematic review informed by a realist philosophy of science, seeking to produce useful theory that explains observed outcomes, in terms of relationships between important contexts and generative mechanisms.An initial explanatory theory will be developed in consultation with a stakeholder group and this 'programme theory' will be tested and refined against available secondary evidence, gathered via an iterative and purposive search process. This data will be analysed and synthesised according to realist principles, to produce a refined 'programme theory', explaining the contexts in which primary care doctors fail to order 'necessary' tests and/or order 'unnecessary' tests, and the mechanisms underlying these decisions.

ETHICS AND DISSEMINATION

Ethical approval is not required for this review. A complete and transparent report will be produced in line with the RAMESES standards. The theory developed will be used to inform recommendations for the development of interventions designed to minimise 'inappropriate' testing. Our dissemination strategy will be informed by our stakeholders. A variety of outputs will be tailored to ensure relevance to policy-makers, primary care and pathology practitioners, and patients.

PROSPERO REGISTRATION NUMBER

CRD42018091986.

Utilization Management of High-Cost Imaging in an Outpatient Setting in a Large Stable Patient and Provider Cohort over 7 Years

Purpose To quantify the effect of a comprehensive, long-term, provider-led utilization management (UM) program on high-cost imaging (computed tomography, magnetic resonance imaging, nuclear imaging, and positron emission tomography) performed on an outpatient basis. Materials and Methods This retrospective, 7-year cohort study included all patients regularly seen by primary care physicians (PCPs) at an urban academic medical center. The main outcome was the number of outpatient high-cost imaging examinations per patient per year ordered by the patient's PCP or by any specialist. The authors determined the probability of a patient undergoing any high-cost imaging procedure during a study year and the number of examinations per patient per year (intensity) in patients who underwent high-cost imaging. Risk-adjusted hierarchical models were used to directly quantify the physician component of variation in probability and intensity of high-cost imaging use, and clinicians were provided with regular comparative feedback on the basis of the results. Observed trends in high-cost imaging use and provider variation were compared with the same measures for outpatient laboratory studies because laboratory use was not subject to UM during this period. Finally, per-member per-year high-cost imaging use data were compared with statewide high-cost imaging use data from a major private payer on the basis of the same claim set. Results The patient cohort steadily increased in size from 88 959 in 2007 to 109 823 in 2013. Overall high-cost imaging utilization went from 0.43 examinations per year in 2007 to 0.34 examinations per year in 2013, a decrease of 21.33% (P < .0001). At the same time, similarly adjusted routine laboratory study utilization decreased by less than half that rate (9.4%, P < .0001). On the basis of unadjusted data, outpatient high-cost imaging utilization in this cohort decreased 28%, compared with a 20% decrease in statewide utilization (P = .0023). Conclusion Analysis of high-cost imaging utilization in a stable cohort of patients cared for by PCPs during a 7-year period showed that comprehensive UM can produce a significant and sustained reduction in risk-adjusted per-patient year outpatient high-cost imaging volume. ^© RSNA, 2017.

The Impact of Order Source Misattribution on Computerized Provider Order Entry (CPOE) Performance Metrics

BACKGROUND

One strategy to foster adoption of computerized provider order entry (CPOE) by physicians is the monthly distribution of a list identifying the number and use rate percentage of orders entered electronically versus on paper by each physician in the facility. Physicians care about CPOE use rate reports because they support the patient safety and quality improvement objectives of CPOE implementation. Certain physician groups are also motivated because they participate in contracted financial and performance arrangements that include incentive payments or financial penalties for meeting (or failing to meet) a specified CPOE use rate target. Misattribution of order sources can hinder accurate measurement of individual physician CPOE use and can thereby undermine providers' confidence in their reported performance, as well as their motivation to utilize CPOE. Misattribution of order sources also has significant patient safety, quality, and medicolegal implications.

OBJECTIVE

This analysis sought to evaluate the magnitude and sources of misattribution among hospitalists with high CPOE use and, if misattribution was found, to formulate strategies to prevent and reduce its recurrence, thereby ensuring the integrity and credibility of individual and facility CPOE use rate reporting.

METHODS

A detailed manual order source review and validation of all orders issued by one hospitalist group at a midsize community hospital was conducted for a one-month study period.

RESULTS

We found that a small but not dismissible percentage of orders issued by hospitalists-up to 4.18 percent (95 percent confidence interval, 3.84-4.56 percent) per month-were attributed inaccurately. Sources of misattribution by department or function were as follows: nursing, 42 percent; pharmacy, 38 percent; laboratory, 15 percent; unit clerk, 3 percent; and radiology, 2 percent. Order management and protocol were the most common correct order sources that were incorrectly attributed.

CONCLUSION

Order source misattribution can negatively affect reported provider CPOE use rates and should be investigated if providers perceive discrepancies between reported rates and their actual performance. Preventive education and communication efforts across departments can help prevent and reduce misattribution.

Barriers to evidence-based physician decision-making at the point of care: a narrative literature review

We conduct a narrative literature review using four real-world cases of clinical decisions to show how barriers to the use of evidence-based medicine affect physician decision-making at the point of care, and where adjustments could be made in the healthcare system to address these barriers. Our four cases constitute decisions typical of the types physicians make on a regular basis: diagnostic testing, initial treatment and treatment monitoring. To shed light on opportunities to improve patient care while reducing costs, we focus on barriers that could be addressed through changes to policy and/or practice at a particular level of the healthcare system. We conclude by relating our findings to the passage of the Medicare Access and Children's Health Insurance Program Reauthorization Act in April 2015.

Medical informatics research trend analysis: A text mining approach

The objective of this research is to identify major subject areas of medical informatics and explore the time-variant changes therein. As such it can inform the field about where medical informatics research has been and where it is heading. Furthermore, by identifying subject areas, this study identifies the development trends and the boundaries of medical informatics as an academic field. To conduct the study, first we identified 26,307 articles in PubMed archives which were published in the top medical informatics journals within the timeframe of 2002 to 2013. And then, employing a text mining -based semi-automated analytic approach, we clustered major research topics by analyzing the most frequently appearing subject terms extracted from the abstracts of these articles. The results indicated that some subject areas, such as biomedical, are declining, while other research areas such as health information technology (HIT), Internet-enabled research, and electronic medical/health records (EMR/EHR), are growing. The changes within the research subject areas can largely be attributed to the increasing capabilities and use of HIT. The Internet, for example, has changed the way medical research is conducted in the health care field. While discovering new medical knowledge through clinical and biological experiments is important, the utilization of EMR/EHR enabled the researchers to discover novel medical insight buried deep inside massive data sets, and hence, data analytics research has become a common complement in the medical field, rapidly growing in popularity.

A Survey of the Literature on Unintended Consequences Associated with Health Information Technology: 2014-2015

OBJECTIVE

To summarize recent research on unintended consequences associated with implementation and use of health information technology (health IT). Included in the review are original empirical investigations published in English between 2014 and 2015 that reported unintended effects introduced by adoption of digital interventions. Our analysis focuses on the trends of this steam of research, areas in which unintended consequences have continued to be reported, and common themes that emerge from the findings of these studies.

METHOD

Most of the papers reviewed were retrieved by searching three literature databases: MEDLINE, Embase, and CINAHL. Two rounds of searches were performed: the first round used more restrictive search terms specific to unintended consequences; the second round lifted the restrictions to include more generic health IT evaluation studies. Each paper was independently screened by at least two authors; differences were resolved through consensus development.

RESULTS

The literature search identified 1,538 papers that were potentially relevant; 34 were deemed meeting our inclusion criteria after screening. Studies described in these 34 papers took place in a wide variety of care areas from emergency departments to ophthalmology clinics. Some papers reflected several previously unreported unintended consequences, such as staff attrition and patients' withholding of information due to privacy and security concerns. A majority of these studies (71%) were quantitative investigations based on analysis of objectively recorded data. Several of them employed longitudinal or time series designs to distinguish between unintended consequences that had only transient impact, versus those that had persisting impact. Most of these unintended consequences resulted in adverse outcomes, even though instances of beneficial impact were also noted. While care areas covered were heterogeneous, over half of the studies were conducted at academic medical centers or teaching hospitals.

CONCLUSION

Recent studies published in the past two years represent significant advancement of unintended consequences research by seeking to include more types of health IT applications and to quantify the impact using objectively recorded data and longitudinal or time series designs. However, more mixed-methods studies are needed to develop deeper insights into the observed unintended adverse outcomes, including their root causes and remedies. We also encourage future research to go beyond the paradigm of simply describing unintended consequences, and to develop and test solutions that can prevent or minimize their impact.

Impact of a computerized provider radiography order entry system without clinical decision support on emergency department medical imaging requests

BACKGROUND AND OBJECTIVE

The adoption of computerized physician order entry is an important cornerstone of using health information technology (HIT) in health care. The transition from paper to computer forms presents a change in physicians' practices. The main objective of this study was to investigate the impact of implementing a computer-based order entry (CPOE) system without clinical decision support on the number of radiographs ordered for patients admitted in the emergency department.

METHODS

This single-center pre-/post-intervention study was conducted in January, 2013 (before CPOE period) and January, 2014 (after CPOE period) at the emergency department at Nîmes University Hospital. All patients admitted in the emergency department who had undergone medical imaging were included in the study.

RESULTS

Emergency department admissions have increased since the implementation of CPOE (5388 in the period before CPOE implementation vs. 5808 patients after CPOE implementation, p=.008). In the period before CPOE implementation, 2345 patients (44%) had undergone medical imaging; in the period after CPOE implementation, 2306 patients (40%) had undergone medical imaging (p=.008). In the period before CPOE, 2916 medical imaging procedures were ordered; in the period after CPOE, 2876 medical imaging procedures were ordered (p=.006). In the period before CPOE, 1885 radiographs were ordered; in the period after CPOE, 1776 radiographs were ordered (p<.001). The time between emergency department admission and medical imaging did not vary between the two periods.

CONCLUSIONS

Our results show a decrease in the number of radiograph requests after a CPOE system without clinical decision support was implemented in our emergency department.

Toward the Elimination of Paper Orders: Managing the Challenge of Low Frequency Physician Users of Computerized Patient Order Entry (CPOE)

With the adoption of Computerized Patient Order Entry (CPOE), many physicians - particularly consultants and those who are affiliated with multiple hospital systems - are faced with the challenge of learning to navigate and commit to memory the details of multiple EHRs and CPOE software modules. These physicians may resist CPOE adoption, and their refusal to use CPOE presents a risk to patient safety when paper and electronic orders co-exist, as paper orders generated in an electronic ordering environment can be missed or acted upon after delay, are frequently illegible, and bypass the Clinical Decision Support (CDS) that is part of the evidence-based value of CPOE. We defined a category of CPOE Low Frequency Users (LFUs) - physicians issuing a total of less than 10 orders per month - and found that 50.4% of all physicians issuing orders in 3 urban/suburban hospitals were LFUs and actively issuing orders across all shifts and days of the week. Data are presented for 2013 on the number of LFUs by month, day of week, shift and facility, over 2.3 million orders issued. A menu of 6 options to assist LFUs in the use of CPOE, from which hospital leaders could select, was instituted so that paper orders could be increasingly eliminated. The options, along with their cost implications, are described, as is the initial option selected by hospital leaders. In practice, however, a mixed pattern involving several LFU support options emerged. We review data on how the option mix selected may have impacted CPOE adoption and physician use rates at the facilities. The challenge of engaging LFU physicians in CPOE adoption may be common in moderately sized hospitals, and these options can be deployed by other systems in advancing CPOE pervasiveness of use and the eventual elimination of paper orders.

Radiology order decision support: examination-indication appropriateness assessed using 2 electronic systems

PURPOSE

The goal of the study was to determine the effects of guideline implementation strategy using 2 commercial radiology clinical decision support (CDS) systems.

METHODS

The appropriateness and insurance dispositions of MRI and CT orders were evaluated using the Medicalis SmartReq and Nuance RadPort CDS systems during 2 different 3-month periods. Logistic regression was used to compare these outcomes between the 2 systems, after adjusting for patient-mix differences.

RESULTS

Approximately 2,000 consecutive outpatient MRI and CT orders were evaluated over 2 periods of 3 months each. Medicalis scored 60% of exams as "indeterminate" (insufficient information) or "not validated" (no guidelines). Excluding these cases, Nuance scored significantly more exams as appropriate than did Medicalis (80% versus 51%, P < .001) and predicted insurance outcome significantly more often (76% versus 58%, P < .001). Only when the Medicalis "indeterminate" and "not validated" categories were combined with the high- or moderate-utility categories did the 2 CDS systems have similar performance. Overall, 19% of examinations with low-utility ratings were reimbursed. Conversely, 0.8% of examinations with high- or moderate-utility ratings were denied reimbursement.

CONCLUSIONS

The chief difference between the 2 CDS systems, and the strongest influence on outcomes, was how exams without relevant guidelines or with insufficient information were handled. Nuance augmented published guidelines with clinical best practice; Medicalis requested additional information utilizing pop-up windows. Thus, guideline implementation choices contributed to decision making and outcomes. User interface, specifically, the number of screens and completeness of indication choices, controlled CDS interactions and, coupled with guidance implementation, influenced willingness to use the CDS system.

Successful Implementation of Clinical Information Technology: Seven Key Lessons from CPOE

OBJECTIVES

To identify and describe the most critical strategic and operational contributors to the successful implementation of clinical information technologies, as deployed within a moderate sized system of U.S. community hospitals.

BACKGROUND AND SETTING

CHRISTUS Health is a multi-state system comprised of more than 350 services and 60 hospitals with over 9 000 physicians. The Santa Rosa region of CHRISTUS Health, located in greater San Antonio, Texas is comprised of three adult community hospital facilities and one Children's hospital each with bed capacities of 142-180. Computerized Patient Order Entry (CPOE) was first implemented in 2012 within a complex market environment. The Santa Rosa region has 2 417 credentialed physicians and 263 mid-level allied health professionals.

METHODS

This report focuses on the seven most valuable strategies deployed by the Health Informatics team in a large four hospital CHRISTUS region to achieve strong CPOE adoption and critical success lessons learned. The findings are placed within the context of the literature describing best practices in health information technology implementation.

RESULTS

While the elements described involved discrete de novo process generation to support implementation and operations, collectively they represent the creation of a new customer-centric service culture in our Health Informatics team, which has served as a foundation for ensuring strong clinical information technology adoption beyond CPOE.

CONCLUSION

The seven success factors described are not limited in their value to and impact on CPOE adoption, but generalize to - and can advance success in - varied other clinical information technology implementations across diverse hospitals. A number of these factors are supported by reports in the literature of other institutions' successful implementations of CPOE and other clinical information technologies, and while not prescriptive to other settings, may be adapted to yield value elsewhere.

JOURNAL CLUB: Radiologists' Perceptions of Computerized Decision Support: A Focus Group Study From the Medicare Imaging Demonstration Project

OBJECTIVE

The purpose of this study was to discern radiologists' perceptions regarding the implementation of a decision support system intervention as part of the Medicare Imaging Demonstration project and the effect of decision support on radiologists' interactions with ordering clinicians, their radiology work flow, and appropriateness of advanced imaging.

SUBJECTS AND METHODS

A focus group study was conducted with a diverse sample of radiologists involved in interpreting advanced imaging studies at Medicare Imaging Demonstration project sites. A semistructured moderator guide was used, and all focus group discussions were recorded and transcribed verbatim. Qualitative data analysis software was used to code thematic content and identify representative segments of text. Participating radiologists also completed an accompanying survey designed to supplement focus group discussions.

RESULTS

Twenty-six radiologists participated in four focus group discussions. The following major themes related to the radiologists' perceptions after decision support implementation were identified: no substantial change in radiologists' interactions with referring clinicians; no substantial change in radiologist work flow, including protocol-writing time; and no perceived increase in imaging appropriateness. Radiologists provided suggestions for improvements in the decision support system, including increasing the usability of clinical data captured, and expressed a desire to have greater involvement in future development and implementation efforts.

CONCLUSION

Overall, radiologists from health care systems involved in the Medicare Imaging Demonstration did not perceive that decision support had a substantial effect, either positive or negative, on their professional roles and responsibilities. Radiologists expressed a desire to improve efficiencies and quality of care by having greater involvement in future efforts.

Comparing the Effectiveness of Alerts and Dynamically Annotated Visualizations (DAVs) in Improving Clinical Decision Making

OBJECTIVE

The aim of this study was to compare the effectiveness of two types of real-time decision support, an interrupting pop-up alert and a noninterrupting dynamically annotated visualization (DAV), in reducing clinically inappropriate diagnostic imaging orders.

BACKGROUND

Alerts in electronic health record software are frequently disregarded due to high false-alarm rates, interruptions, and uncertainty about what triggered the alert. In other settings, providing visualizations and improving understandability of the guidance has been shown to improve overall decision making.

METHOD

Using a between-subject design, we examined the effect of two forms of decision support, alerts and DAVs, on reducing the proportion of inappropriate diagnostic imaging orders for 11 patients in a simulated environment. Nine attending and 11 resident physicians with experience using an electronic health record were randomly assigned to the form of decision support. Secondary measures were self-reported understandability, algorithm transparency, and clinical relevance.

RESULTS

Fewer inappropriate diagnostic imaging tests were ordered with DAVs than with alerts (18% vs. 34%, p < .001). The DAV was rated higher for all three secondary measures (p < .001) for all participants.

CONCLUSION

DAVs were more effective than alerts in reducing inappropriate imaging orders and were preferred for all patient scenarios, especially scenarios where guidance was ambiguous or based on inaccurate information.

APPLICATION

Creating visualizations that are permanently displayed and vary in the strength of their guidance can mitigate the risk of system performance degradation due to incomplete or incorrect data. This interaction paradigm may be applicable for other settings with high false-alarm rates or where there is a need to reduce interruptions during decision making.

The Impact of a Health IT Changeover on Medical Imaging Department Work Processes and Turnaround Times: A mixed method study

OBJECTIVES

To assess the impact of introducing a new Picture Archiving and Communication System (PACS) and Radiology Information System (RIS) on: (i) Medical Imaging work processes; and (ii) turnaround times (TATs) for x-ray and CT scan orders initiated in the Emergency Department (ED).

METHODS

We employed a mixed method study design comprising: (i) semi-structured interviews with Medical Imaging Department staff; and (ii) retrospectively extracted ED data before (March/April 2010) and after (March/April 2011 and 2012) the introduction of a new PACS/RIS. TATs were calculated as: processing TAT (median time from image ordering to examination) and reporting TAT (median time from examination to final report).

RESULTS

Reporting TAT for x-rays decreased significantly after introduction of the new PACS/RIS; from a median of 76 hours to 38 hours per order (p<.0001) for patients discharged from the ED, and from 84 hours to 35 hours (p<.0001) for patients admitted to hospital. Medical Imaging staff reported that the changeover to the new PACS/RIS led to gains in efficiency, particularly regarding the accessibility of images and patient-related information. Nevertheless, assimilation of the new PACS/RIS with existing Departmental work processes was considered inadequate and in some instances unsafe. Issues highlighted related to the synchronization of work tasks (e.g., porter arrangements) and the material set up of the work place (e.g., the number and location of computers).

CONCLUSIONS

The introduction of new health IT can be a "double-edged sword" providing improved efficiency but at the same time introducing potential hazards affecting the effectiveness of the Medical Imaging Department.

Electronic health record-based interventions for improving appropriate diagnostic imaging: a systematic review and meta-analysis

BACKGROUND

One driver of increasing health care costs is the use of radiologic imaging procedures. More appropriate use could improve quality and reduce costs.

PURPOSE

To review interventions that use the computerized clinical decision-support (CCDS) capabilities of electronic health records to improve appropriate use of diagnostic radiologic test ordering.

DATA SOURCES

English-language articles in PubMed from 1995 to September 2014 and searches in Web of Science and PubMed of citations related to key articles.

STUDY SELECTION

23 studies, including 3 randomized trials, 7 time-series studies, and 13 pre-post studies that assessed the effect of CCDS on diagnostic radiologic test ordering in adults.

DATA EXTRACTION

2 independent reviewers extracted data on functionality, study outcomes, and context and assessed the quality of included studies.

DATA SYNTHESIS

Thirteen studies provided moderate-level evidence that CCDS improves appropriateness (effect size, -0.49 [95% CI, -0.71 to -0.26]) and reduces use (effect size, -0.13 [CI, -0.23 to -0.04]). Interventions with a "hard stop" that prevents a clinician from overriding the CCDS without outside consultation, as well as interventions in integrated care delivery systems, may be more effective. Harms have rarely been assessed but include decreased ordering of appropriate tests and physician dissatisfaction.

LIMITATION

Potential for publication bias, insufficient reporting of harms, and poor description of context and implementation.

CONCLUSION

Computerized clinical decision support integrated with the electronic health record can improve appropriate use of diagnostic radiology by a moderate amount and decrease use by a small amount. Before widespread adoption can be recommended, more data are needed on potential harms.

PRIMARY FUNDING SOURCE

U.S. Department of Veterans Affairs. (PROSPERO registration number: CRD42014007469).

Physical Therapy or Advanced Imaging as First Management Strategy Following a New Consultation for Low Back Pain in Primary Care: Associations with Future Health Care Utilization and Charges

OBJECTIVE

Compare health care utilization and charges for low-back-pain (LBP) patients receiving advanced imaging or physical therapy as a first management strategy following a new primary care consultation.

DATA SOURCE

Electronic medical record (EMR) and insurance claims data.

STUDY DESIGN

Retrospective analysis of propensity-matched groups.

DATA COLLECTION/EXTRACTION

Claims and EMR data were used. Utilization and LBP-related charges over a 1-year period were extracted from claims data.

PRINCIPAL FINDINGS

In the propensity-matched sample (n = 406), advanced imaging recipients had higher odds of all utilization outcomes. Charges were higher with advanced imaging by an average $4,793 (95 percent CI: $3,676, $5,910).

CONCLUSIONS

For patients with LBP whom newly consulted primary care referred for additional management, advanced imaging as a first management was associated with higher health care utilization and charges than physical therapy.

The effectiveness of service delivery initiatives at improving patients' waiting times in clinical radiology departments: a systematic review

We reviewed the literature for the impact of service delivery initiatives (SDIs) on patients' waiting times within radiology departments. We searched MEDLINE, EMBASE, CINAHL, INSPEC and The Cochrane Library for relevant articles published between 1995 and February, 2013. The Cochrane EPOC risk of bias tool was used to assess the risk of bias on studies that met specified design criteria. Fifty-seven studies met the inclusion criteria. The types of SDI implemented included extended scope practice (ESP, three studies), quality management (12 studies), productivity-enhancing technologies (PETs, 29 studies), multiple interventions (11 studies), outsourcing and pay-for-performance (one study each). The uncontrolled pre- and post-intervention and the post-intervention designs were used in 54 (95%) of the studies. The reporting quality was poor: many of the studies did not test and/or report the statistical significance of their results. The studies were highly heterogeneous, therefore meta-analysis was inappropriate. The following type of SDIs showed promising results: extended scope practice; quality management methodologies including Six Sigma, Lean methodology, and continuous quality improvement; productivity-enhancing technologies including speech recognition reporting, teleradiology and computerised physician order entry systems. We have suggested improved study design and the mapping of the definitions of patient waiting times in radiology to generic timelines as a starting point for moving towards a situation where it becomes less restrictive to compare and/or pool the results of future studies in a meta-analysis.

Provider Feedback about Imaging Appropriateness by Using Scores from Order Entry Decision Support: Raw Rates Misclassify Outliers

PURPOSE

To determine the relevant physician- and practice-related factors that jointly affect the rate of low-utility imaging examinations (score of 1-3 out of 9) ordered by means of an order entry system that provides normative appropriateness feedback.

MATERIALS AND METHODS

This HIPAA-compliant study was approved by the institutional review board under an expedited protocol for analyzing anonymous aggregated administrative data. This is a retrospective study of approximately 250 000 consecutive scheduled outpatient advanced imaging examinations (computed tomography, magnetic resonance imaging, nuclear medicine) ordered by 164 primary care and 379 medical specialty physicians from 2008 to 2012. A hierarchical logistic regression model was used to identify multiple predictors of the probability that an examination received a low utility score. Physician- and practice-specific random effects were estimated to articulate (odds ratio) and quantify (intraclass correlation) interphysician variation.

RESULTS

Fixed effects found to be statistically significant predictors of low-utility imaging included examination type, whether the examination was cancelled, status of the person entering the order, and the total number of examinations ordered by the clinician. Neither patient age nor sex had any effect, and there were no secular trends (year of study). The remaining amount of interphysician variation was moderate (intraclass correlation, 22%), whereas the variation between medical specialties and primary care practices was low (intraclass correlation, 5%). The estimated physician-specific effects had reliability of 70%, which makes them just suitable for identifying outliers.

CONCLUSION

The authors found that 22% of the variation in the rate of low-utility examinations is attributable to ordering providers and 5% to their specialty or clinic.

Academic radiology in the new health care delivery environment

RATIONALE AND OBJECTIVES

Ongoing concerns over the rising cost of health care are driving large-scale changes in the way that health care is practiced and reimbursed in the United States.

MATERIALS AND METHODS

To effectively implement and thrive within this new health care delivery environment, academic medical institutions will need to modify financial and business models and adapt institutional cultures. In this article, we review the expected features of the new health care environment from the perspective of academic radiology departments.

CONCLUSIONS

Our review will include background on accountable care organizations, identify challenges associated with the new managed care model, and outline key strategies-including expanding the use of existing information technology infrastructure, promoting continued medical innovation, balancing academic research with clinical care, and exploring new roles for radiologists in efficient patient management-that will ensure continued success for academic radiology.

Does clinical decision support reduce unwarranted variation in yield of CT pulmonary angiogram?

OBJECTIVE

The study objective was to determine whether previously documented effects of clinical decision support on computed tomography for pulmonary embolism in the emergency department (ie, decreased use and increased yield) are due to a decrease in unwarranted variation. We evaluated clinical decision support effect on intra- and inter-physician variability in the yield of pulmonary embolism computed tomography (PE-CT) in this setting.

METHODS

The study was performed in an academic adult medical center emergency department with 60,000 annual visits. We enrolled all patients who had PE-CT performed 18 months pre- and post-clinical decision support implementation. Intra- and inter-physician variability in yield (% PE-CT positive for acute pulmonary embolism) were assessed. Yield variability was measured using logistic regression accounting for patient characteristics.

RESULTS

A total of 1542 PE-CT scans were performed before clinical decision support, and 1349 PE-CT scans were performed after clinical decision support. Use of PE-CT decreased from 26.5 to 24.3 computed tomography scans/1000 patient visits after clinical decision support (P < .02); yield increased from 9.2% to 12.6% (P < .01). Crude inter-physician variability in yield ranged from 2.6% to 20.5% before clinical decision support and from 0% to 38.1% after clinical decision support. After controlling for patient characteristics, the post-clinical decision support period showed significant inter-physician variability (P < .04). Intra-physician variability was significant in 3 of the 25 physicians (P < .04), all with increased yield post-clinical decision support.

CONCLUSIONS

Overall PE-CT yield increased after clinical decision support implementation despite significant heterogeneity among physicians. Increased inter-physician variability in yield after clinical decision support was not explained by patient characteristics alone and may be due to variable physician acceptance of clinical decision support. Clinical decision support alone is unlikely to eliminate unwarranted variability, and additional strategies and interventions may be needed to help optimize acceptance of clinical decision support to maximize returns on national investments in health information technology.

Lessons learned from implementation of computerized provider order entry in 5 community hospitals: a qualitative study

Background

Computerized Provider Order Entry (CPOE) can improve patient safety, quality and efficiency, but hospitals face a host of barriers to adopting CPOE, ranging from resistance among physicians to the cost of the systems. In response to the incentives for meaningful use of health information technology and other market forces, hospitals in the United States are increasingly moving toward the adoption of CPOE. The purpose of this study was to characterize the experiences of hospitals that have successfully implemented CPOE.

Methods

We used a qualitative approach to observe clinical activities and capture the experiences of physicians, nurses, pharmacists and administrators at five community hospitals in Massachusetts (USA) that adopted CPOE in the past few years. We conducted formal, structured observations of care processes in diverse inpatient settings within each of the hospitals and completed in-depth, semi-structured interviews with clinicians and staff by telephone. After transcribing the audiorecorded interviews, we analyzed the content of the transcripts iteratively, guided by principles of the Immersion and Crystallization analytic approach. Our objective was to identify attitudes, behaviors and experiences that would constitute useful lessons for other hospitals embarking on CPOE implementation.

Results

Analysis of observations and interviews resulted in findings about the CPOE implementation process in five domains: governance, preparation, support, perceptions and consequences. Successful institutions implemented clear organizational decision-making mechanisms that involved clinicians (governance). They anticipated the need for education and training of a wide range of users (preparation). These hospitals deployed ample human resources for live, in-person training and support during implementation. Successful implementation hinged on the ability of clinical leaders to address and manage perceptions and the fear of change. Implementation proceeded smoothly when institutions identified and anticipated the consequences of the change.

Conclusions

The lessons learned in the five domains identified in this study may be useful for other community hospitals embarking on CPOE adoption.