Giving Office-Based Physicians Electronic Access To Patients’ Prior Imaging And Lab Results Did Not Deter Ordering Of Tests

Psychological, social and technical factors influencing electronic medical records systems adoption by United States physicians: a systematic model

BACKGROUND

Wide adoption of electronic medical records (EMR) systems in the United States can lead to better-quality medical care at lower cost. Despite the laws and financial subsidies by the United States government for service providers and suppliers, interoperability still lags. An understanding of the drivers of EMR adoption for physicians and the role of policy-making can translate into increased adoption and enhanced information sharing between medical care providers.

METHODS

Physicians across the United States were surveyed to gather primary data on their psychological, social and technical perceptions towards EMR systems. This quantitative study builds on the theory of planned behaviour, the technology acceptance model and the diffusion of innovation theory to propose, test and validate an innovation adoption model for the healthcare industry. A total of 382 responses were collected, and data were analysed via linear regression to uncover the effects of 12 variables on the intention to adopt EMR systems.

RESULTS

Regression model testing uncovered that government policy-making or mandates and other social factors have little or negligible effect on physicians' intention to adopt an innovation. Rather, physicians are directly driven by their attitudes and ability to control, and indirectly motivated by their knowledge of the innovation, the financial ability to acquire the system, the holistic benefits to their industry and the relative advancement of the system compared to others.

CONCLUSIONS

Identifying physicians' needs regarding EMR systems and providing programmes that meet them can increase the potential for reaching the goal of nationwide interoperable medical records. Government, healthcare associations and EMR system vendors can benefit from our findings by working towards increasing physicians' knowledge of the proposed innovation, socializing how medical care providers and the overall industry can benefit from EMR system adoption, and solving for the financial burden of system implementation and sustainment.

Comprehensive methodology to monitor longitudinal change patterns during EHR implementations: a case study at a large health care delivery network

OBJECTIVE

To test a systematic methodology to monitor longitudinal change patterns on quality, productivity, and safety outcomes during a large-scale commercial Electronic Health Record (EHR) implementation.

MATERIALS AND METHODS

Our method combines an interrupted time-series design with control sites and 41 consensus outcomes including quality (11 measures), productivity (20 measures), and safety (10 measures). The intervention consisted of a phased commercial EHR implementation at a large health care delivery network. Four medium-size hospitals and 39 clinics from 5 geographic regions implementing the new EHR were compared against a parallel control consisting of one medium-size and one large hospital and 10 clinics that had not implemented the new EHR at the time of this study. We collected monthly data from February 2013 to July 2017.

RESULTS

The proposed methodology was successfully implemented and significant changes were observed in most measured variables. A significant change attributable to the intervention was observed in 12 (29%) measures in three or more regions; in 32 (78%) measures in two or more regions; and in 40 (98%) measures in at least one region. A similar pattern (i.e., same impact in three or more regions) was detected for nine (22%) measures, a mixed pattern (i.e., same impact in two regions, and different impact in other regions) was detected for nine (22%) measures, and an inconsistent pattern (i.e., did not detect the same impact across regions) was detected for 23 (56%) measures.

DISCUSSION

Using a formal methodology to assess changes in a set of consensus measures, we detected various patterns of impact and mixed time-sensitive effects. With an increasing adoption of EHR systems, it is critical for health care organizations to systematically monitor their EHR implementations. The proposed method provides a robust and consistent approach to monitor EHR implementations longitudinally allowing for continuous monitoring after the system becomes stable in order to avoid unexpected effects.

CONCLUSION

Our results and methodology can guide the broader medical and informatics communities by informing what and how to continuously monitor EHR impact on quality, productivity, and safety.

Laboratory testing in primary care: A systematic review of health IT impacts

INTRODUCTION

Laboratory testing in primary care is a fundamental process that supports patient management and care. Any breakdown in the process may alter clinical information gathering and decision-making activities and can lead to medical errors and potential adverse outcomes for patients. Various information technologies are being used in primary care with the goal to support the process, maximize patient benefits and reduce medical errors. However, the overall impact of health information technologies on laboratory testing processes has not been evaluated.

OBJECTIVES

To synthesize the positive and negative impacts resulting from the use of health information technology in each phase of the laboratory 'total testing process' in primary care.

METHODS

We conducted a systematic review. Databases including Medline, PubMed, CINAHL, Web of Science and Google Scholar were searched. Studies eligible for inclusion reported empirical data on: 1) the use of a specific IT system, 2) the impacts of the systems to support the laboratory testing process, and were conducted in 3) primary care settings (including ambulatory care and primary care offices). Our final sample consisted of 22 empirical studies which were mapped to a framework that outlines the phases of the laboratory total testing process, focusing on phases where medical errors may occur.

RESULTS

Health information technology systems support several phases of the laboratory testing process, from ordering the test to following-up with patients. This is a growing field of research with most studies focusing on the use of information technology during the final phases of the laboratory total testing process. The findings were largely positive. Positive impacts included easier access to test results by primary care providers, reduced turnaround times, and increased prescribed tests based on best practice guidelines. Negative impacts were reported in several studies: paper-based processes employed in parallel to the electronic process increased the potential for medical errors due to clinicians' cognitive overload; systems deemed not reliable or user-friendly hampered clinicians' performance; and organizational issues arose when results tracking relied on the prescribers' memory.

DISCUSSION

The potential of health information technology lies not only in the exchange of health information, but also in knowledge sharing among clinicians. This review has underscored the important role played by cognitive factors, which are critical in the clinician's decision-making, the selection of the most appropriate tests, correct interpretation of the results and efficient interventions.

CONCLUSIONS

By providing the right information, at the right time to the right clinician, many IT solutions adequately support the laboratory testing process and help primary care clinicians make better decisions. However, several technological and organizational barriers require more attention to fully support the highly fragmented and error-prone process of laboratory testing.

The Effect of Access to Electronic Health Records on Throughput Efficiency and Imaging Utilization in the Emergency Department

STUDY OBJECTIVE

To evaluate whether the availability of Electronic Health Records (EHRs) reduces throughput time and utilization of advanced imaging for patients in an academic ED.

DATA SOURCES

All patients arriving at an academic Emergency Department (ED) via ambulance between June 1, 2011, and June 4, 2012, were included in the study. This accounted for 9,970 unique ambulance patient visits.

STUDY DESIGN

Retrospective noninterventional analysis of patients in an academic ED. The primary independent variable was whether the patient had a prior EHR at the study hospital. Main outcomes were throughput time, number of advanced diagnostic imaging studies (CT, MRI, ultrasound), and the associated cost of these imaging studies. A set of controls, including age, gender, ICD9 codes, acuity measures, and NYU ED algorithm case severity classifications, was used in an ordinary least-squares (OLS) regression framework to estimate the association between EHR availability and the outcome measures.

PRINCIPAL FINDINGS

A patient with a prior EHR experienced a mean reduction in CT scans of 13.9 percent ([4.9, 23.0]). There was no material change in throughput time for patients with a prior EHR and no difference in utilization of other imaging studies across patients with a prior EHR and those without. Cost savings associated with prior EHRs are $22.52 per patient visit.

CONCLUSION

EHR availability for ED patients is associated with a reduction in CT scans and cost savings but had no impact on throughput time or order frequency of other imaging studies.

Meaningful Use of Electronic Health Records and Medicare Expenditures: Evidence from a Panel Data Analysis of U.S. Health Care Markets, 2010-2013

OBJECTIVE

To determine if recent growth in hospital and physician electronic health record (EHR) adoption and use is correlated with decreases in expenditures for elderly Medicare beneficiaries.

DATA SOURCES

American Hospital Association (AHA) General Survey and Information Technology Supplement, Health Information Management Systems Society (HIMSS) Analytics survey, SK&A Information Services, and the Centers for Medicare & Medicaid Services (CMS) Chronic Conditions Data Warehouse Geographic Variation Database for 2010 through 2013.

STUDY DESIGN

Fixed effects model comparing associations between hospital referral region (HRR) level measures of hospital and physician EHR penetration and annual Medicare expenditures for beneficiaries with one of four chronic conditions. Calculated hospital penetration rates as the percentage of Medicare discharges from hospitals that satisfied criteria analogous to Meaningful Use (MU) Stage 1 requirements and physician rates as the percentage of physicians using ambulatory care EHRs.

PRINCIPAL FINDINGS

An increase in the hospital penetration rate was associated with a small but statistically significant decrease in total Medicare and Medicare Part A acute care expenditures per beneficiary. An increase in physician EHR penetration was also associated with a significant decrease in total Medicare and Medicare Part A acute care expenditures per beneficiary as well as a decrease in Medicare Part B expenditures per beneficiary. For the study population, we estimate approximately $3.8 billion in savings related to hospital and physician EHR adoption during 2010-2013. We also found that an increase in physician EHR penetration was associated with an increase in lab test expenses.

CONCLUSIONS

Health care markets that had steeper increases in EHR penetration during 2010-2013 also had steeper decreases in total Medicare and acute care expenditures per beneficiary. Markets with greater increases in physician EHR had greater declines in Medicare Part B expenditures per beneficiary.

Use of Health Information Exchange and Repeat Imaging Costs

PURPOSE

The aim of this study was to quantify the association between health information exchange (HIE) use and cost savings attributable to repeat imaging.

METHODS

Imaging procedures associated with HIE were compared with concurrent controls on the basis of propensity score matching over the period from 2009 to 2010 in a longitudinal cohort study. The study sample (n = 12,620) included patients ages 18 years and older enrolled in the two largest commercial health plans in a 13-county region of western New York State served by the Rochester Regional Health Information Organization. The primary outcome was a continuous measure of costs associated with repeat imaging. The determinant of interest, HIE use, was defined as system access after the initial imaging procedure and before repeat imaging.

RESULTS

HIE use was associated with an overall estimated annual savings of $32,460 in avoided repeat imaging, or $2.57 per patient. Basic imaging (radiography, ultrasound, and mammography) accounted for 85% of the estimated avoided cases of repeat imaging. Advanced imaging (CT and MRI) accounted for 13% of avoided procedures but constituted half of the estimated savings (50%).

CONCLUSIONS

HIE systems may reduce costs associated with repeat imaging. Although inexpensive imaging procedures constituted the largest proportion of avoided repeat imaging in our study, most of the estimated cost savings were due to small reductions in repeated advanced imaging procedures. HIE systems will need to be leveraged in ways that facilitate greater reductions in advanced imaging to achieve appreciable cost savings.

Implementation of Electronic Health Records and Entrepreneurial Strategic Orientation in Substance Use Disorder Treatment Organizations

OBJECTIVE

This research studied the relationships of the components of entrepreneurial strategic orientation (ESO) with implementation of electronic health records (EHRs) within organizations that treat patients with substance use disorders (SUDs).

METHOD

A national sample of 317 SUD treatment providers were studied in a period after the Health Information Technology for Economic and Clinical Health (HITECH) Act was enacted (2009) and meaningful use EHR requirements were established (2010), but before implementation of the Affordable Care Act. The study sample was selected using stratified random sampling and was part of a longitudinal study of treatment providers across the United States.

RESULTS

After we controlled for potentially confounding variables, four components of ESO had a significant relationship with EHR implementation. Levels of slack resources in an organization moderated the relationship of ESO with meaningful use of EHRs, increasing the strength of the relationship for some components but reducing the strength of others.

CONCLUSIONS

From a policy and practice perspective, the results suggest that training and education to develop higher levels of ESO within SUD treatment organizations are likely to increase their level of meaningful use of EHRs, which in turn may enhance the integration of SUD treatment with primary medical providers, better preparing SUD treatment providers for the environmental changes of the Affordable Care Act.

Primary Care Physician Designation and Response to Clinical Decision Support Reminders

Clinical decision support (CDS) has been shown to improve process outcomes, but overalerting may not produce incremental benefits. We analyzed providers’ response to preventive care reminders to determine if reminder response rates varied when a primary care provider (PCP) saw their own patients as compared with a partner’s patients. Secondary objectives were to describe variation in PCP identification in the electronic health record (EHR) across sites, and to determine its accuracy.

We retrospectively analyzed response to preventive care reminders during visits to outpatient primary care sites over a three-month period where an EHR was used. Data on clinician requests for reminders, viewing of preventive care reminders, and response rates were stratified by whether the patient visited their own PCP, the PCP’s partner, or where no PCP was listed in the EHR. We calculated the proportion of PCP identification across sites and agreement of identified PCP with an external standard.

Of 84,937 visits, 58,482 (68.9%) were with the PCP, 10,259 (12.1%) were with the PCP’s partner, and 16,196 (19.1%) had no listed PCP. Compared with PCP partner visits, visits with the patient’s PCP were associated with more requested reminders (30.9% vs 22.9%), viewed reminders (29.7% vs 20.7%), and responses to reminders (28.7% vs 12.6%), all comparisons p<0.001. Visits with no listed PCP had the lowest rates of requests, views, and responses. There was good agreement between the EHR-listed PCP and the provider seen for a plurality of visits over the last year (D = 0.917).

A PCP relationship during a visit was associated with higher use of preventive care reminders and a lack of PCP was associated with lower use of CDS. Targeting reminders to the PCP may be desirable, but further studies are needed to determine which strategy achieves better patient care outcomes.

primary care physician (PCP), clinical decision support (CDS), electronic health record (EHR), National Provider Identifier (NPI)

The Effect of Adoption of an Electronic Health Record on Duplicate Testing

Background. The electronic health record (EHR) has been promoted as a tool to improve quality of patient care, reduce costs, and improve efficiency. There is little data to confirm that the use of EHR has reduced duplicate testing. We sought to evaluate the rate of performance of repeat transthoracic echocardiograms before and after the adoption of EHR. Methods. We retrospectively examined the rates of repeat echocardiograms performed before and after the implementation of an EHR system. Results. The baseline rate of repeat testing before EHR was 4.6% at six months and 7.6% at twelve months. In the first year following implementation of EHR, 6.6% of patients underwent a repeat study within 6 months, and 12.9% within twelve months. In the most recent year of EHR usage, 5.7% of patients underwent repeat echocardiography at six months and 11.9% within twelve months. All rates of duplicate testing were significantly higher than their respective pre-EHR rates (p < 0.01 for all). Conclusion. Our study failed to demonstrate a reduction in the rate of duplicate echocardiography testing after the implementation of an EHR system. We feel that this data, combined with other recent analyses, should promote a more rigorous assessment of the initial claims of the benefits associated with EHR implementation.

Image Sharing Technologies and Reduction of Imaging Utilization: A Systematic Review and Meta-analysis

INTRODUCTION

Image sharing technologies may reduce unneeded imaging by improving provider access to imaging information. A systematic review and meta-analysis were conducted to summarize the impact of image sharing technologies on patient imaging utilization.

METHODS

Quantitative evaluations of the effects of PACS, regional image exchange networks, interoperable electronic heath records, tools for importing physical media, and health information exchange systems on utilization were identified through a systematic review of the published and gray English-language literature (2004-2014). Outcomes, standard effect sizes (ESs), settings, technology, populations, and risk of bias were abstracted from each study. The impact of image sharing technologies was summarized with random-effects meta-analysis and meta-regression models.

RESULTS

A total of 17 articles were included in the review, with a total of 42 different studies. Image sharing technology was associated with a significant decrease in repeat imaging (pooled effect size [ES] = -0.17; 95% confidence interval [CI] = [-0.25, -0.09]; P < .001). However, image sharing technology was associated with a significant increase in any imaging utilization (pooled ES = 0.20; 95% CI = [0.07, 0.32]; P = .002). For all outcomes combined, image sharing technology was not associated with utilization. Most studies were at risk for bias.

CONCLUSIONS

Image sharing technology was associated with reductions in repeat and unnecessary imaging, in both the overall literature and the most-rigorous studies. Stronger evidence is needed to further explore the role of specific technologies and their potential impact on various modalities, patient populations, and settings.

Yelp for Prescribers: A Quasi-Experimental Study of Providing Antibiotic Cost Data and Prescription of High-Cost Antibiotics in an Academic and Tertiary Care Hospital

BACKGROUND

Physicians frequently prescribe antibiotics to inpatients without knowledge of medication cost. It is not well understood whether providing cost data would change prescribing behavior.

OBJECTIVE

To evaluate the association between providing cost data alongside culture and antibiotic susceptibility results and prescribing of high-cost antibiotics.

DESIGN

Quasi-experimental pre-post analysis.

PARTICIPANTS

Inpatients diagnosed with bacteremia or urinary tract infection in two tertiary care hospitals.

INTERVENTION

Cost category data for each antibiotic ($, $$, $$$, or $$) were added to culture and susceptibility testing results available to physicians.

MAIN MEASURES

Average cost category of antibiotics prescribed to patients after the receipt of susceptibility testing results.

KEY RESULTS

There was a significant decrease in the average cost category of antibiotics per patient after the intervention (pre-intervention = 1.9 $ vs. post-intervention = 1.7 $, where 1.5 $ would mean that the average number of dollar signs for antibiotics prescribed was between $ and $$, p = 0.002). After adjusting for age, insurance type, and prior length of stay, the odds ratio (OR) of a patient's average antibiotic being higher cost vs. lower cost after the intervention compared to before the intervention was 0.74 [95% confidence interval (CI) 0.56, 0.98]. The intervention was associated with a 31.3% reduction in the average cost per unit of antibiotics prescribed (p < 0.001).

CONCLUSIONS

Providing physicians with cost feedback alongside susceptibility testing data was associated with a significant decrease in prescription of high-cost antibiotics. This intervention is intuitive, low cost, and may shift providers toward lower cost medications when equally acceptable options are available.

The effect of information technology on hospital performance

While healthcare entities have integrated various forms of health information technology (HIT) into their systems due to claims of increased quality and decreased costs, as well as various incentives, there is little available information about which applications of HIT are actually the most beneficial and efficient. In this study, we aim to assist administrators in understanding the characteristics of top performing hospitals. We utilized data from the Health Information and Management Systems Society and the Center for Medicare and Medicaid to assess 1039 hospitals. Inputs considered were full time equivalents, hospital size, and technology inputs. Technology inputs included personal health records (PHR), electronic medical records (EMRs), computerized physician order entry systems (CPOEs), and electronic access to diagnostic results. Output variables were measures of quality, hospital readmission and mortality rate. The analysis was conducted in a two-stage methodology: Data Envelopment Analysis (DEA) and Automatic Interaction Detector Analysis (AID), decision tree regression (DTreg). Overall, we found that electronic access to diagnostic results systems was the most influential technological characteristics; however organizational characteristics were more important than technological inputs. Hospitals that had the highest levels of quality indicated no excess in the use of technology input, averaging one use of a technology component. This study indicates that prudent consideration of organizational characteristics and technology is needed before investing in innovative programs.

Health Information Technology Adoption in the Emergency Department

OBJECTIVE

To describe the trend in health information technology (IT) systems adoption in hospital emergency departments (EDs) and its effect on ED efficiency and resource use.

DATA SOURCES

2007-2010 National Hospital Ambulatory Medical Care Survey - ED Component.

STUDY DESIGN

We assessed changes in the percent of visits to EDs with health IT capability and the estimated effect on waiting time to see a provider, visit length, and resource use.

PRINCIPAL FINDINGS

The percent of ED visits that took place in an ED with at least a basic health IT or an advanced IT system increased from 25.2 and 3.1 percent in 2007 to 69.1 and 30.6 percent in 2010, respectively (p < .05). Controlling for ED fixed effects, waiting times were reduced by 6.0 minutes in advanced IT-equipped EDs (p < .05), and the number of tests ordered increased by 9 percent (p < .01). In models using a 1-year lag, advanced systems also showed an increase in the number of medications and images ordered per visit.

CONCLUSIONS

Almost a third of visits now occur in EDs with advanced IT capability. While advanced IT adoption may decrease wait times, resource use during ED visits may also increase depending on how long the system has been in place. We were not able to determine if these changes indicated more appropriate care.

A five-year assessment of the affordable care act: market forces still trump the common good in U.S. Health care

The Affordable Care Act (ACA) was enacted in 2010 as the signature domestic achievement of the Obama presidency. It was intended to contain costs and achieve near-universal access to affordable health care of improved quality. Now, five years later, it is time to assess its track record. This article compares the goals and claims of the ACA with its actual experience in the areas of access, costs, affordability, and quality of care. Based on the evidence, one has to conclude that containment of health care costs is nowhere in sight, that more than 37 million Americans will still be uninsured when the ACA is fully implemented in 2019, that many more millions will be underinsured, and that profiteering will still dominate the culture of U.S. health care. More fundamental reform will be needed. The country still needs to confront the challenge that our for-profit health insurance industry, together with enormous bureaucratic waste and widespread investor ownership throughout our market-based system, are themselves barriers to health care reform. Here we consider the lessons we can take away from the ACA's first five years and lay out the economic, social/political, and moral arguments for replacing it with single-payer national health insurance.

Impact of IT-enabled intervention on MRI use for back pain

BACKGROUND

The purpose of this study was to examine the impact of a multifaceted, clinical decision support (CDS)-enabled intervention on magnetic resonance imaging (MRI) use in adult primary care patients with low back pain.

METHODS

After a baseline observation period, we implemented a CDS targeting lumbar-spine MRI use in primary care patients with low back pain through our computerized physician order entry, as well as 2 accountability tools: mandatory peer-to-peer consultation when test utility was uncertain and quarterly practice pattern variation reports to providers. Our primary outcome measure was rate of lumbar-spine MRI use. Secondary measures included utilization of MRI of any body part, comparing it with that of a concurrent national comparison, as well as proportion of lumbar-spine MRI performed in the study cohort that was adherent to evidence-based guideline. Chi-squared, t-tests, and logistic regression were used to assess pre- and postintervention differences.

RESULTS

In the study cohort preintervention, 5.3% of low back pain-related primary care visits resulted in lumbar-spine MRI, compared with 3.7% of visits postintervention (P <.0001, adjusted odds ratio 0.68). There was a 30.8% relative decrease (6.5% vs 4.5%, P <.0001, adjusted odds ratio 0.67) in the use of MRI of any body part by the primary care providers in the study cohort. This difference was not detected in the control cohort (5.6% vs 5.3%, P = .712). In the study cohort, adherence to evidence-based guideline in the use of lumbar-spine MRI increased from 78% to 96% (P = .0002).

CONCLUSIONS

CDS and associated accountability tools may reduce potentially inappropriate imaging in patients with low back pain.

Association between use of a health information exchange system and hospital admissions

OBJECTIVE

Relevant patient information is frequently difficult to obtain in emergency department (ED) visits. Improved provider access to previously inaccessible patient information may improve the quality of care and reduce hospital admissions. Health information exchange (HIE) systems enable access to longitudinal, community-wide patient information at the point of care. However, the ability of HIE to avert admissions is not well demonstrated. We sought to determine if HIE system usage is correlated with a reduction in admissions via the ED.

METHODS

We identified 15,645 adults from New York State with an ED visit during a 6-month period, all of whom consented to have their information accessible in the HIE system, and were continuously enrolled in two area health plans. Using claims we determined if the ED encounter resulted in an admission. We used the HIE's system log files to determine usage during the encounter. We determined the association between HIE system use and the likelihood of admission to the hospital from the ED and potential cost savings.

RESULTS

The HIE system was accessed during 2.4% of encounters. The odds of an admission were 30% lower when the system was accessed after controlling for confounding (odds ratio = 0.70; 95%C I= 0.52, 0.95). The annual savings in the sample was $357,000.

CONCLUSION

These findings suggest that the use of an HIE system may reduce hospitalizations from the ED with resultant cost savings. This is an important outcome given the substantial financial investment in interventions designed to improve provider access to patient information in the US.

Changing resident test ordering behavior: a multilevel intervention to decrease laboratory utilization at an academic medical center

Hospital laboratory test volume is increasing, and overutilization contributes to errors and costs. Efforts to reduce laboratory utilization have targeted aspects of ordering behavior, but few have utilized a multilevel collaborative approach. The study team partnered with residents to reduce unnecessary laboratory tests and associated costs through multilevel interventions across the academic medical center. The study team selected laboratory tests for intervention based on cost, volume, and ordering frequency (complete blood count [CBC] and CBC with differential, common electrolytes, blood enzymes, and liver function tests). Interventions were designed collaboratively with residents and targeted components of ordering behavior, including system changes, teaching, social marketing, academic detailing, financial incentives, and audit/feedback. Laboratory ordering was reduced by 8% cumulatively over 3 years, saving $2 019 000. By involving residents at every stage of the intervention and targeting multiple levels simultaneously, laboratory utilization was reduced and cost savings were sustained over 3 years.

The effect of electronic health record implementation on community emergency department operational measures of performance

STUDY OBJECTIVE

We study the effect of an emergency department (ED) electronic health record implementation on the operational metrics of a diverse group of community EDs.

METHODS

We performed a retrospective before/after analysis of 23 EDs from a single management group that experienced ED electronic health record implementation (with the majority of electronic health records optimized specifically for ED use). We obtained electronic data for 4 length of stay measures (arrival to provider, admitted, discharged, and overall length of stay) and 4 measures of operational characteristics (left before treatment complete, significant returns, overall patient satisfaction, and provider efficiency). We compared the 6-month "baseline" period immediately before implementation with a "steady-state" period commencing 6 months after implementation for all 8 metrics.

RESULTS

For the length of stay measures, there were no differences in the arrival-to-provider interval (difference of -0.02 hours; 95% confidence interval [CI] of difference -0.12 to 0.08), admitted length of stay (difference of 0.10 hours; 95% CI of difference -0.17 to 0.37), discharged length of stay (difference of 0.07 hours; 95% CI of difference -0.07 to 0.22), and overall length of stay (difference of 0.11 hours; 95% CI of difference -0.04 to 0.27). For operational characteristics, there were no differences in the percentage who left before treatment was complete (difference of 0.24%; 95% CI of difference -0.47% to 0.95%), significant returns (difference of -0.04%; 95% CI of difference -0.48% to 0.39%), overall percentile patient satisfaction (difference of -0.02%; 95% CI of difference -2.35% to 2.30%), and provider efficiency (difference of -0.05 patients/hour; 95% CI of difference -0.11 to 0.02).

CONCLUSION

There is no meaningful difference in 8 measures of operational performance for community EDs experiencing optimized ED electronic health record implementation between a baseline and steady-state period.

Effects of health information exchange adoption on ambulatory testing rates

OBJECTIVE

To determine the effects of the adoption of ambulatory electronic health information exchange (HIE) on rates of laboratory and radiology testing and allowable charges.

DESIGN

Claims data from the dominant health plan in Mesa County, Colorado, from 1 April 2005 to 31 December 2010 were matched to HIE adoption data on the provider level. Using mixed effects regression models with the quarter as the unit of analysis, the effect of HIE adoption on testing rates and associated charges was assessed.

RESULTS

Claims submitted by 306 providers in 69 practices for 34 818 patients were analyzed. The rate of testing per provider was expressed as tests per 1000 patients per quarter. For primary care providers, the rate of laboratory testing increased over the time span (baseline 1041 tests/1000 patients/quarter, increasing by 13.9 each quarter) and shifted downward with HIE adoption (downward shift of 83, p<0.01). A similar effect was found for specialist providers (baseline 718 tests/1000 patients/quarter, increasing by 19.1 each quarter, with HIE adoption associated with a downward shift of 119, p<0.01). Even so, imputed charges for laboratory tests did not shift downward significantly in either provider group, possibly due to the skewed nature of these data. For radiology testing, HIE adoption was not associated with significant changes in rates or imputed charges in either provider group.

CONCLUSIONS

Ambulatory HIE adoption is unlikely to produce significant direct savings through reductions in rates of testing. The economic benefits of HIE may reside instead in other downstream outcomes of better informed, higher quality care.

Emergency physicians' perspectives on their use of health information exchange

STUDY OBJECTIVE

We explore what emergency physicians with access to health information exchange have to say about it and strive to better understand the factors affecting their use of it.

METHODS

A qualitative study using grounded theory principles was conducted in 4 urban emergency departments that had health information exchange access for 4 years. Data were collected with unstructured interviews from 15 emergency physicians.

RESULTS

Emergency physicians reported that a number of factors affected their use of health information exchange, but the most prevalent was that it was not user friendly and disrupted workflow. Five major themes emerged: variations in using health information exchange and its access, influencing clinical decisions, balancing challenges and barriers, recognizing benefits and success factors, and justifying not using health information exchange. The themes supported a theoretical interpretation that the process of using health information exchange is more complex than balancing challenges or barriers against benefits, but also how they justify not using it when making clinical decisions. We found that health information exchange systems need to be transformed to meet the needs of emergency physicians and incorporated into their workflow if it is going to be successful. The emergency physicians also identified needed improvements that would increase the frequency of health information exchange use.

CONCLUSION

The emergency physicians reported that health information exchange disrupted their workflow and was less than desirable to use. The health information exchange systems need to adapt to the needs of the end user to be both useful and useable for emergency physicians.

Utility of postoperative laboratory studies after female pelvic reconstructive surgery

OBJECTIVE

We sought to determine the frequency of laboratory studies after female pelvic reconstructive surgery and the rate of intervention based on the results of these laboratory values at a single institution.

STUDY DESIGN

We conducted a retrospective review of all patients undergoing female pelvic reconstructive surgery for pelvic organ prolapse by 5 fellowship-trained pelvic reconstructive surgeons at a single institution from Jan. 1, 2010, through Dec. 31, 2010. Exclusion criteria were outpatient procedures, isolated hysterectomy, and a combined surgery with another surgical team performing a separate procedure. Interventions based on the number of laboratory studies were classified as minor (electrolyte repletion, repeat laboratory tests, initiation of antibiotics) or major (transfusion, delayed discharge).

RESULTS

A total of 356 patients were included in the final dataset and 100% of patients had routine postoperative laboratory studies. A total of 8771 laboratory values were obtained with a mean of 25 ± 18 laboratory values (0-133) per patient. One-third of postoperative patients (n = 120) underwent a total of 207 interventions based on abnormal laboratory results. The majority of interventions were minor (96%). Of the 120 patients who had a minor intervention, electrolyte repletion was the most common (78%), followed by repeat blood collection (40%) and initiation of antibiotics (4%). The major intervention rate was 4% (n = 8) and all underwent transfusion. Of the 8 transfused patients, 7 demonstrated clinical instability before transfusion and 1 was transfused based on laboratory values and a significant cardiac history.

CONCLUSION

Routine postoperative laboratory studies are not necessary for all patients after female pelvic reconstructive surgery and more judicious use based on clinical findings may limit unnecessary minor interventions.

Transient and sustained changes in operational performance, patient evaluation, and medication administration during electronic health record implementation in the emergency department

STUDY OBJECTIVE

Little is known about the transient and sustained operational effects of electronic health records on emergency department (ED) performance. We quantify how the implementation of a comprehensive electronic health record was associated with metrics of operational performance, test ordering, and medication administration at a single-center ED.

METHODS

We performed a longitudinal analysis of electronic data from a single, suburban, academic ED during 28 weeks between May 2011 and November 2011. We assessed length of stay, use of diagnostic testing, medication administration, radiologic imaging, and patient satisfaction during a 4-week baseline measurement period and then tracked changes in these variables during the 24 weeks after implementation of the electronic health record.

RESULTS

Median length of stay increased and patient satisfaction was reduced transiently, returning to baseline after 4 to 8 weeks. Rates of laboratory testing, medication administration, overall radiologic imaging, radiographs, computed tomography scans, and ECG ordering all showed sustained increases throughout the 24 weeks after electronic health record implementation.

CONCLUSION

Electronic health record implementation in this single-center study was associated with both transient and sustained changes in metrics of ED performance, as well as laboratory and medication ordering. Understanding ways in which an ED can be affected by electronic health record implementation is critical to providing insight about ways to mitigate transient disruption and to maximize potential benefits of the technology.

Impact of provider-led, technology-enabled radiology management program on imaging

OBJECTIVE

The study objective was to assess the impact of a provider-led, technology-enabled radiology medical management program on high-cost imaging use.

METHODS

This study was performed in the ambulatory setting of an integrated healthcare system. After negotiating a risk contract with a major commercial payer, we created a physician-led radiology medical management program to help address potentially inappropriate high-cost imaging use. The radiology medical management program was enabled by a computerized physician order entry system with integrated clinical decision support and accountability tools, including (1) mandatory peer-to-peer consultation with radiologists before order completion when test utility was uncertain on the basis of order requisition; (2) quarterly practice pattern variation reports to providers; and (3) academic detailing for targeted outliers. The primary outcome measure was intensity of high-cost imaging, defined as the number of outpatient computed tomography (CT), magnetic resonance imaging (MRI), and nuclear cardiology studies per 1000 patient-months in the payer's panel. Chi-square test was used to assess trends.

RESULTS

In 1.8 million patient-months from January 2004 to December 2009, 50,336 eligible studies were performed (54.1% CT, 40.3% MRI, 5.6% nuclear cardiology). There was a 12.0% sustained reduction in high-cost imaging intensity over the 5-year period (P < .001). The number of CT studies performed decreased from 17.5 per 1000 patient-months to 14.5 (P < .01); nuclear cardiology examinations decreased from 2.4 to 1.4 (P < .01) per 1000 patient-months. The MRI rate remained unchanged at 11 studies per 1000 patient-months.

CONCLUSION

A provider-led radiology medical management program enabled through health information technology and accountability tools may produce a significant reduction in high-cost imaging use.

The impact of electronic health records on ambulatory costs among Medicaid beneficiaries

BACKGROUND

Broad adoption of electronic health records (EHRs) is a potential strategy for curbing healthcare cost growth, which is particularly vital for Medicaid. Despite limited evidence for EHR-related cost savings, the 2009 HITECH Act included incentives for providers to become meaningful users of EHRs. We evaluated a large Massachusetts EHR pilot to obtain early insight into the potential for the national strategy to reduce short-run healthcare costs in the Medicaid population.

METHODS

We calculated monthly ambulatory cost and visit measures from Medicaid claims data for beneficiaries receiving the majority of their care in the three Massachusetts eHealth Collaborative (MAeHC) pilot communities or in six matched control communities. Using a difference-in-differences of slope analysis, we assessed whether cost and visit trajectories differed in the pre-implementation period compared to the post-implementation period for intervention and control community members.

RESULTS

We found evidence that EHR adoption impacted ambulatory medical cost in two of the three communities, but the effects were in opposite directions. Ambulatory medical costs increased more slowly in one intervention compared to its control communities in the pre-to-post period (difference-in-differences=-1.98%, p<0.001; PMPM savings of $41.60). In contrast, for a second pilot community, ambulatory medical cost increased more slowly in the control communities (difference-in-differences=2.56%, p=0.005; PMPM increase of $43.34).

CONCLUSIONS

As a stand-alone approach, adoption of commercially-available EHRs in community practices did not consistently impact Medicaid costs in the short-run. This suggests that future meaningful use criteria may need to specifically target cost savings and coordinate with payment reform efforts.

Diabetes prevention, health information technology, and meaningful use: challenges and opportunities

The U.S. health system has historically been poorly equipped to confront the growing impact of diabetes on the nation's health. The Affordable Care Act legislates a number of new strategies--such as innovative payment and delivery models and increased public health funding--intended to improve diabetes prevention and care quality. Health information technology (IT) is often cited as a critical part of these strategies. Through the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, the federal government has been supporting the rapid adoption of health IT, and more specifically of electronic health records (EHRs) through the Centers for Medicare and Medicaid Services (CMS) EHR Incentive Program. Health IT has the potential to contribute to diabetes prevention and improved quality of care, but the evidence supporting its benefits is mixed. This article provides a brief overview of the CMS EHR Incentive Program and meaningful-use criteria. Then it examines health IT strategies for diabetes prevention in the context of current evidence and identifies areas of needed research and innovation.

Chart biopsy: an emerging medical practice enabled by electronic health records and its impacts on emergency department-inpatient admission handoffs

OBJECTIVE

To examine how clinicians on the receiving end of admission handoffs use electronic health records (EHRs) in preparation for those handoffs and to identify the kinds of impacts such usage may have.

MATERIALS AND METHODS

This analysis is part of a two-year ethnographic study of emergency department (ED) to internal medicine admission handoffs at a tertiary teaching and referral hospital. Qualitative data were gathered and analyzed iteratively, following a grounded theory methodology. Data collection methods included semi-structured interviews (N = 48), observations (349 hours), and recording of handoff conversations (N = 48). Data analyses involved coding, memo writing, and member checking.

RESULTS

The use of EHRs has enabled an emerging practice that we refer to as pre-handoff "chart biopsy": the activity of selectively examining portions of a patient's health record to gather specific data or information about that patient or to get a broader sense of the patient and the care that patient has received. Three functions of chart biopsy are identified: getting an overview of the patient; preparing for handoff and subsequent care; and defending against potential biases. Chart biopsies appear to impact important clinical and organizational processes. Among these are the nature and quality of handoff interactions, and the quality of care, including the appropriateness of dispositioning of patients.

CONCLUSIONS

Chart biopsy has the potential to enrich collaboration and to enable the hospital to act safely, efficiently, and effectively. Implications for handoff research and for the design and evaluation of EHRs are also discussed.

US health care policy and reform: implications for cardiac electrophysiology

In response to unsustainably rising costs, variable quality and access to health care, and the projected insolvency of vital safety net insurance programs, the federal government has proposed important health policy and regulatory changes in the USA. The US Supreme Court's decision to uphold most of the major provisions of the Affordable Care Act will lead to some of the most sweeping government reforms on entitlements since the creation of Medicare. Furthermore, implementation of new organizational, reimbursement, and health care delivery models will strongly affect the practice of cardiac electrophysiology. In this brief review, we will provide background and context to the problem of rising health care costs and describe salient reforms and their projected impacts on the field and practice of cardiac electrophysiology.

Hospital electronic medical record use and cost of inpatient pediatric care

OBJECTIVE

Electronic medical record (EMR) systems are costly for hospitals to implement and maintain, and the effects of EMR on the cost of care for inpatient pediatrics remain unknown. Our objective was to determine whether delivering care with advanced-stage EMR was associated with a decreased cost per case in a national sample of hospitalized children.

METHODS

The Healthcare Cost and Utilization Project Kids Inpatient Dataset 2009 identified pediatric discharges. The Healthcare Information and Management Systems Society 2009 database identified hospitals' EMR use. EMR was classified into 3 stages, with advanced-stage 3 EMR including automation of ancillary services, automation of nursing workflow, computerized provider order entry, and clinical decision support. Multivariable linear regression was used to determine the independent effect of advanced-stage EMR on cost per case. Propensity score adjustment was included to control for nonrandom assignment of EMR use.

RESULTS

This analysis included 4,605,454 weighted discharges. EMR use by hospitals that care for children was common: 24% for stage 1, 23% stage 2, and 32% advanced stage 3. The multivariable model demonstrated that advanced stage EMR was associated with an average 7% greater cost per case ($146 per discharge).

CONCLUSIONS

The care of children across the United States with EMRs may create a safer health care system but is not associated with inpatient cost savings. In fact our primary analysis shows a 7% additional cost per case. This finding is contrary to predicted savings and may represent an added barrier in the adoption of EMR for inpatient pediatrics.

Health information exchange and ambulatory quality of care

BACKGROUND

Health information exchange is a national priority, but there is limited evidence of its effectiveness.

OBJECTIVE

We sought to determine the effect of health information exchange on ambulatory quality.

METHODS

We conducted a retrospective cohort study over two years of 138 primary care physicians in small group practices in the Hudson Valley region of New York State. All physicians had access to an electronic portal, through which they could view clinical data (such as laboratory and radiology test results) for their patients over time, regardless of the ordering physician. We considered 15 quality measures that were being used by the community for a pay-for-performance program, as well as the subset of 8 measures expected to be affected by the portal. We adjusted for 11 physician characteristics (including health care quality at baseline).

RESULTS

Nearly half (43%) of the physicians were portal users. Non-users performed at or above the regional benchmark on 48% of the measures at baseline and 49% of the measures at followup (p = 0.58). Users performed at or above the regional benchmark on 57% of the measures at baseline and 64% at follow-up (p<0.001). Use of the portal was independently associated with higher quality of care at follow-up for those measures expected to be affected by the portal (p = 0.01), but not for those not expected to be affected by the portal (p = 0.12).

CONCLUSIONS

Use of an electronic portal for viewing clinical data was associated with modest improvements in ambulatory quality.