Association Between Billing Patient Portal Messages as e-Visits and Patient Messaging Volume

This study evaluates the adoption of clinician billing for patient portal messages as e-visits, prompted by significant increases in patient messaging after the onset of the COVID-19 pandemic.

The financial advantages of medical scribes extend beyond increased visits

Employing medical scribes can boost revenue for a practice, the authors show, well beyond being an opportunity to expand patient volume.

Cost-aware active learning for named entity recognition in clinical text

OBJECTIVE

Active Learning (AL) attempts to reduce annotation cost (ie, time) by selecting the most informative examples for annotation. Most approaches tacitly (and unrealistically) assume that the cost for annotating each sample is identical. This study introduces a cost-aware AL method, which simultaneously models both the annotation cost and the informativeness of the samples and evaluates both via simulation and user studies.

MATERIALS AND METHODS

We designed a novel, cost-aware AL algorithm (Cost-CAUSE) for annotating clinical named entities; we first utilized lexical and syntactic features to estimate annotation cost, then we incorporated this cost measure into an existing AL algorithm. Using the 2010 i2b2/VA data set, we then conducted a simulation study comparing Cost-CAUSE with noncost-aware AL methods, and a user study comparing Cost-CAUSE with passive learning.

RESULTS

Our cost model fit empirical annotation data well, and Cost-CAUSE increased the simulation area under the learning curve (ALC) scores by up to 5.6% and 4.9%, compared with random sampling and alternate AL methods. Moreover, in a user annotation task, Cost-CAUSE outperformed passive learning on the ALC score and reduced annotation time by 20.5%-30.2%.

DISCUSSION

Although AL has proven effective in simulations, our user study shows that a real-world environment is far more complex. Other factors have a noticeable effect on the AL method, such as the annotation accuracy of users, the tiredness of users, and even the physical and mental condition of users.

CONCLUSION

Cost-CAUSE saves significant annotation cost compared to random sampling.

Costs of using evidence-based implementation strategies for behavioral health integration in a large primary care system

OBJECTIVE

To describe the cost of using evidence-based implementation strategies for sustained behavioral health integration (BHI) involving population-based screening, assessment, and identification at 25 primary care sites of Kaiser Permanente Washington (2015-2018).

DATA SOURCES/STUDY SETTING

Project records, surveys, Bureau of Labor Statistics compensation data.

STUDY DESIGN

Labor and nonlabor costs incurred by three implementation strategies: practice coaching, electronic health records clinical decision support, and performance feedback.

DATA COLLECTION/EXTRACTION METHODS

Personnel time spent on these strategies was estimated for five broad roles: (a) project leaders and administrative support, (b) practice coaches, (c) clinical decision support programmers, (d) performance metric programmers, and (e) primary care local implementation team members.

PRINCIPAL FINDING

Implementation involved 286 persons, 18 131 person-hours, costing $1 587 139 or $5 per primary care visit with screening or $38 per primary care visit identifying depression, suicidal thoughts and/or alcohol or substance use disorders, in a single year. The majority of person-hours was devoted to project leadership (35%) and practice coaches (34%), and 36% of costs were for the first three sites.

CONCLUSIONS

When spread across patients screened in a single year, BHI implementation costs were well within the range for commonly used diagnostic assessments in primary care (eg, laboratory tests). This suggests that implementation costs alone should not be a substantial barrier to population-based BHI.

10 Steps to Strategically Build and Implement your Enterprise Imaging System: HIMSS-SIIM Collaborative White Paper

An enterprise imaging (EI) strategy is an organized plan to optimize the electronic health record (EHR) so that healthcare providers have intuitive and immediate access to all patient clinical images and their associated documentation, regardless of source. We describe ten steps recommended to achieve the goal of implementing EI for an institution. The first step is to define and access all images used for medical decision-making. Next, demonstrate how EI is a powerful strategy for enhancing patient and caregiver experience, improving population health, and reducing cost. Then, it is recommended that one must understand the specialties and their clinical workflow challenges as related to imaging. Step four is to create a strategy to improve quality of care and patient safety with EI. Step five demonstrates how EI can reduce costs. Then, show how EI can help enhance the patient experience. Step seven suggests how EI can enhance the work life of caregivers and step eight describes how to develop EI governance. Step nine describes the plan to implement an EI project, and finally, step 10, to understand cybersecurity from a patient safety perspective and to protect images from accidental and malicious intrusion.

Consolidation in the Electronic Health Record Market, 2009-2017

BACKGROUND

To quantify changes to the electronic health record (EHR) market in Rhode Island and to assess the degree of EHR market consolidation between 2009 and 2017.

METHODS

The EHR market in Rhode Island is represented by three measures: the proportion of physicians who have adopted an EHR, the number of EHR vendors in use, and EHR market competitiveness, captured by the Herfindahl-Hirschman Index (HHI).

RESULTS

The EHR market became more consolidated overall between 2009 and 2017. Among outpatient physicians, the market has remained competitive, despite ongoing consolidation. In contrast, the EHR market among inpatient physicians crossed into the "highly concentrated" zone in 2015.

DISCUSSION

While consolidation in the EHR market may facilitate the exchange of data across health systems, potentially reducing duplicative testing and facilitating timely diagnosis, limiting competition may affect vendors' responsiveness to calls for improved usability and innovation.

Evaluation of an Electronic Health Record System With a Disease Management Program and Health Care Treatment Costs for Danish Patients With Type 2 Diabetes

IMPORTANCE

Electronic health record (EHR) systems and disease management programs (DMP) are often promoted, but associated health care cost changes are not well understood.

OBJECTIVE

To evaluate the association between annual health care costs of patients with type 2 diabetes and the use of an electronic health record system with a disease management program (EHR/DMP) in general practice.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study examined patients with type 2 diabetes in Denmark between January 1, 2008, and December 31, 2014, who attended practices that either used an EHR/DMP at a high level or never used the disease management system. An EHR/DMP system was rolled out across general practices in Denmark beginning in 2011 and was discontinued in 2014. Data were analyzed between March 2019 and March 2020.

MAIN OUTCOMES AND MEASURES

The main outcome was total health care costs, and the secondary outcomes were primary care, medication, nonhospital specialist, and hospital (total, outpatient, inpatient, and emergency) costs. Regression models were used to estimate EHR/DMP-associated percentage differences in patients' annual health care treatment costs across health care treatment categories. All models included general practice-level fixed effects and patient-level controls. Two-part models examined robustness of estimated associations for hospital cost categories.

RESULTS

Of 33 970 patients included in the analysis, 15 953 (8016 [50.2%] male; mean [SD] age, 59.9 [13.3] years) attended 244 general practices that used the system at a high level, and 18 017 (9291 [51.6%] male; mean [SD] age, 60.0 [12.9] years) attended 344 general practices that had never used the system. Use of the EHR/DMP was associated with 3.2% higher (95% CI, 0.9%-5.6%) annual general practice treatment costs and with 6.4% lower (95% CI, -11.6% to -1.2%) annual hospital emergency visit costs. The associations between EHR/DMP use and annual total hospital (percentage difference, -0.8%; 95% CI, -7.5% to 5.7%) and total health care (percentage difference, -0.1%; 95% CI, -2.1% to 1.9%) cost changes were not statistically significant.

CONCLUSIONS AND RELEVANCE

Among patients with type 2 diabetes, attendance at general practices that used an EHR/DMP was associated with a moderate increase in primary care costs and a reduction in emergency hospital visit costs but no significant change in total health care costs. Large health care cost savings associated with improved use of EHR-based disease management systems should not be expected to be realized in the short term.

Association of the Meaningful Use Electronic Health Record Incentive Program With Health Information Technology Venture Capital Funding

Importance

Although the Health Information Technology for Economic and Clinical Health (HITECH) Act has accelerated electronic health record (EHR) adoption since its passage, clinician satisfaction with EHRs remains low, and the association of HITECH with health care information technology (IT) entrepreneurship has remained largely unstudied.

Objective

To determine whether the passage of the HITECH Act was associated with an increase in key measures of health care IT entrepreneurship.

Design, Setting, and Participants

This economic evaluation of venture capital (VC) activity in the US from 2000 to 2019 examined funding trends in health care IT, EHR-related companies, and all VC investments before and after the passage of HITECH. A difference-in-differences analysis compared investments in health care IT companies with those of companies in 3 categories: general health care (non-IT), IT (non-health care), and all US VC transactions. Data were analyzed from September 2018 to August 2019.

Exposures

Venture capital funding received by US companies before and after the HITECH Act.

Main Outcomes and Measures

Venture capital investment in health care IT companies and the proportion of those investments going to seed-stage companies, a proxy for very early-stage entrepreneurship and innovation.

Results

The data included 70 982 investments, of which 9425 (13.3%) were seed stage, 10 706 (15.1%) were early stage, and 50 851 (71.6%) were growth stage. After passage of the HITECH Act, investment in both health care IT companies and EHR-related companies increased at a rate much faster (13.0% and 11.4%, respectively) than VC as a whole (6.9%). In addition, the proportion of investments going to seed-stage health care IT companies increased compared with both overall VC investments and non-IT health care investments. Health care IT companies saw increased probabilities of transactions being seed-stage of 5.1% (SE, 2.2%; 95% CI, 0.8% to 9.3%; P = .02) compared with the entire sample of VC transactions and 13.6% (SE, 1.9%; 95% CI, 9.9% to 17.2%; P < .001) compared with non-IT health care VC transactions. Health care IT had essentially 0 increased probability of a transaction being seed stage compared with IT companies outside health care (-0.8% probability; SE, 2.4%; 95% CI, -5.4% to 3.9%; P = .75).

Conclusions and Relevance

Although widespread clinician dissatisfaction with EHR systems remains a challenge, the HITECH Act's incentive program may have catalyzed early-stage entrepreneurship in health care IT, suggesting an important role for incentives in promoting innovation.

Assessing the incremental costs and savings of introducing electronic immunization registries and stock management systems: evidence from the better immunization data initiative in Tanzania and Zambia

INTRODUCTION

Poor data quality and use have been identified as key challenges that negatively impact immunization programs in low- and middle-income countries (LMICs). In addition, many LMICs have a shortage of health personnel, and staff available have demanding workloads across several health programs. In order to address these challenges, the Better Immunization Data (BID) Initiative introduced a comprehensive suite of interventions, including an electronic immunization registry aimed at improving the quality, reliability, and use of immunization data in Arusha Region, Tanzania, and Southern Province of Zambia. The objective of this study was to assess the incremental costs of implementing the BID interventions in immunization programs in these two countries.

METHODS

We conducted a micro-costing study to estimate the economic costs of service delivery and logistics for the immunization programs with and without the BID interventions in a sample of health facilities and district program offices in each country. Structured questionnaires were used to interview immunization program staff at baseline and post-intervention to assess annual resource utilization and costs. Cost outcomes were reported as annual cost per facility, cost per district and changes in resource costs due to the BID interventions (i.e., costs associated with health worker time, start-up costs, etc.). Sub-group analyses were conducted by health facility to assess variation in costs by volume served and location (rural versus urban). One-way sensitivity analyses were conducted to identify influential parameters. Costs were reported in 2017 US dollars.

RESULTS

In Tanzania, the average annual reduction in resource costs was estimated at US$10,236 (95% confidence interval: $7,606-$14,123) per health facility, while the average annual reduction in resource costs per district was estimated at $6,542. In Zambia, reductions in resource costs were modest at an estimated annual average of $628 (95% confidence interval: $209-$1,467) per health facility and $236 per district. Resource cost reductions were mainly attributable to reductions in time required for immunization service delivery and reporting. One-way sensitivity analyses identified key cost drivers, all related to reductions in health worker time.

CONCLUSION

The introduction of electronic immunization registries and stock management systems through the BID Initiative was estimated to result in potential time savings in both countries. Health worker time was the area most impacted by the interventions, suggesting that time savings gained could be utilized for patient care. Information generated through this work provides evidence to inform stakeholder decision-making for scale-up of the BID interventions in Tanzania and Zambia and to inform other Low-to-Middle-Income Countries (LMICs) interested in similar interventions.

The adoption of electronic medical record by physicians: A PRISMA-compliant systematic review

BACKGROUND

The electronic medical record (EMR) is considered to be a vital tool of information and communication technology (ICT) to improve the quality of medical care, but the limited adoption of EMR by physicians results in a considerable warning to its successful implementation. The purpose of the present review is to explore and identify the potential barriers perceived by physicians in the adoption of EMR.

METHODS

The systematic review was carried out based on literature published in 5 databases: PubMed, Web of Science, Scopus, The Cochrane Library, and ProQuest from 2014 to 2018, concerning barriers perceived by physicians to the adoption of EMR.

RESULTS

The present study incorporates 26 articles based on their appropriateness out of 1354 for the final analysis. Authors explore 25 barriers that appeared 112 times in the literature for the present review; the top 5 frequently mentioned barriers are privacy and security concerns, high start-up cost, workflow changes, system complexity, lack of reliability, and interoperability.

CONCLUSION

The systematic review explores that physicians deal with different barriers as they intend to adopt EMR. The barriers explored in the present review are the potential to play as references for the implementer of the EMR system. Thus an attentive analysis of the definitive condition is needed before relevant intervention is determined as the implementation of EMR must be considered as a behavioral change in medical practice.

A Framework for Performance Comparison among Major Electronic Health Record Systems

While nearly all hospitals have adopted electronic health record (EHR) systems, some are dissatisfied and considering replacement systems to better address unique organizational needs and priorities. With more than 4,000 certified health information technology products available, comparing the vast number of EHR options is complex. This study tested the hypothesis that various EHR systems demonstrate different financial and quality performance and presented a framework for comparison. Using a subscribed database containing US hospitals' observations from 2011 to 2016, we estimated an ordinary least squares regression model with robust standard errors and clustered by year. We regressed the selected finance and quality measures as dependent variables with the vendors' indicators as independent variables, with control variables. This study demonstrated an approach for analyzing performance data to help hospitals distinguish EHR systems on the basis of several organizational outcomes: return on assets, bed utilization rate, Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) summary star rating, and value-based purchasing Total Performance Score. This framework will help EHR acquisition teams make informed decisions.

Estimation of vaccination coverage from electronic healthcare records; methods performance evaluation - A contribution of the ADVANCE-project

INTRODUCTION

The Accelerated Development of VAccine beNefit-risk Collaboration in Europe (ADVANCE) is a public private collaboration aiming to develop and test a system for rapid benefit-risk (B/R) monitoring of vaccines, using existing electronic healthcare record (eHR) databases in Europe. Part of the data in such sources is missing due to incomplete follow-up hampering the accurate estimation of vaccination coverage. We compared different methods for coverage estimation from eHR databases; naïve period prevalence, complete case period prevalence, period prevalence adjusted for follow-up time, Kaplan-Meier (KM) analysis and (adjusted) inverse probability weighing (IPW).

METHODS

We created simulation scenarios with different proportions of completeness of follow-up. Both completeness independent and dependent from vaccination date and status were considered. The root mean squared error (RMSE) and relative difference between the estimated and true coverage were used to assess the performance of the different methods for each of the scenarios. We included data examples on the vaccination coverage of human papilloma virus and pertussis component containing vaccines from the Spanish BIFAP database.

RESULTS

Under completeness independent from vaccination date or status, several methods provided estimates with bias close to zero. However, when dependence between completeness of follow-up and vaccination date or status was present, all methods generated biased estimates. The IPW/CDF methods were generally the least biased. Preference for a specific method should be based on the type of censoring and type of dependence between completeness of follow-up and vaccination. Additional insights into these aspects, might be gained by applying several methods.

[Value of shared electronic health records for the management of homeless people]

AIM

To assess the acceptability for GPS to use the French shared Electronic Health Record (Dossier Médical Partagé, "DMP") when caring for Homeless People (HP).

METHODS

Mixed, sequential, qualitative-quantitative study. The qualitative phase consisted of semi-structured interviews with GPs involved in the care of HP. During the quantitative phase, questionnaires were sent to 150 randomized GPs providing routine healthcare in Marseille. Social and practical acceptability was studied by means of a Likert Scale.

RESULTS

19 GPs were interviewed during the qualitative phase, and 105 GPs answered the questionnaire during the quantitative phase (response rate: 73%). GPs had a poor knowledge about DMP. More than half (52.5%) of GPs were likely to effectively use DMP for HP. GPs felt that the "DMP" could improve continuity, quality, and security of care for HP. They perceived greater benefits of the use the DMP for HP than for the general population, notably in terms of saving time (p = 0.03). However, GPs felt that HP were vulnerable and wanted to protect their patients; they worried about security of data storage. GPs identified specific barriers for HP to use DMP: most of them concerned practical access for HP to DMP (lack of social security card, or lack of tool for accessing internet).

CONCLUSION

A shared electronic health record, such as the French DMP, could improve continuity of care for HP in France. GPs need to be better informed, and DMP functions need to be optimized and adapted to HP, so that it can be effectively used by GPs for HP.

Sensitivity of Claims-Based Algorithms to Ascertain Smoking Status More Than Doubled with Meaningful Use

BACKGROUND

The "meaningful use of certified electronic health record" policy requires eligible professionals to record smoking status for more than 50% of all individuals aged 13 years or older in 2011 to 2012.

OBJECTIVES

To explore whether the coding to document smoking behavior has increased over time and to assess the accuracy of smoking-related diagnosis and procedure codes in identifying previous and current smokers.

METHODS

We conducted an observational study with 5,423,880 enrollees from the year 2009 to 2014 in the Truven Health Analytics database. Temporal trends of smoking coding, sensitivity, specificity, positive predictive value, and negative predictive value were measured.

RESULTS

The rate of coding of smoking behavior improved significantly by the end of the study period. The proportion of patients in the claims data recorded as current smokers increased 2.3-fold and the proportion of patients recorded as previous smokers increased 4-fold during the 6-year period. The sensitivity of each International Classification of Diseases, Ninth Revision, Clinical Modification code was generally less than 10%. The diagnosis code of tobacco use disorder (305.1X) was the most sensitive code (9.3%) for identifying smokers. The specificities of these codes and the Current Procedural Terminology codes were all more than 98%.

CONCLUSIONS

A large improvement in the coding of current and previous smoking behavior has occurred since the inception of the meaningful use policy. Nevertheless, the use of diagnosis and procedure codes to identify smoking behavior in administrative data is still unreliable. This suggests that quality improvements toward medical coding on smoking behavior are needed to enhance the capability of claims data for smoking-related outcomes research.

Trauma Surgeons Save Lives-Scribes Save Trauma Surgeons!

With the advent of the electronic medical record, the documentation burden of the trauma surgeon has become overwhelming. To help, our trauma division added scribes to the rounding team. We hypothesized that scribe utilization would improve our documentation efficiency and offer a financial benefit to the institution. A review of trauma surgeon documentation and billing was performed at a Level I trauma center over two time periods: January to May 2014 (no scribes) and January to May 2015 (scribes). The number of notes written by trauma surgeons was obtained, as were documentation charges. Documentation efficiency was determined by noting both the hour of the day in which inpatient progress notes were written and the number of notes written after patient discharge. In the 2014 period, a total of 9726 notes were written by trauma attendings. In the 2015 period, 10,933 were written. Despite having 407 fewer trauma patient-days in the 2015 period, the group wrote 343 notes/week versus 298 notes/week (P = 0.008). More inpatient progress notes were written earlier in the working day and fewer were written in the evening. Fewer notes were written after patient discharge (12.7 vs 8.4%). A total of 1,664 hours of scribe time were used over the 5-month period, generating an expense of $32,787. The additional notes generated by scribes resulted in $191,394 in charges. Conservatively, assuming a 20 per cent charge reimbursement, the cost of the scribes was covered. The addition of scribes to the daily trauma rounding team improved note efficiency and increased charge capture at our center.

Prospective economic evaluation of an electronic discharge communication tool: analysis of a randomised controlled trial

OBJECTIVE

To complete an economic evaluation within a randomised controlled trial (RCT) comparing the use of an electronic discharge communication tool (eDCT) compared with usual care.

SETTING

Patients being discharged from a single tertiary care centre's internal medicine Medical Teaching Units.

PARTICIPANTS

Between January 2012 and December 2013, 1399 patients were randomised to a discharge mechanism. Forty-five patients were excluded from the economic evaluation as they did not have data for the index hospitalisation cost; 1354 patients contributed to the economic evaluation.

INTERVENTION

eDCT generated at discharge containing structured content on reason for admission, details of the hospital stay, treatments received and follow-up care required. The control group was discharged via traditional dictation methods.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary economic outcome was the cost per quality-adjusted life year (QALY) gained. Secondary outcomes included the cost per death avoided and the cost per readmission avoided.

RESULTS

The average transcription cost was $C22.28 per patient, whereas the estimated cost of the eDCT was $C13.33 per patient. The cost per QALY gained was $C239 933 in the eDCT arm compared with usual care due to the very small gains in effectiveness and approximately $C800difference in resource utilisation costs. The bootstrap analyses resulted in eDCT being more effective and more costly in 29.2% of samples, less costly and more effective in 29.2% of samples, less effective and more costly in 23.9% of samples and finally, less costly and less effective in 17.7% of samples.

CONCLUSIONS

The eDCT reduced per patient costs of the generation of discharge summaries. The bootstrap estimates demonstrate considerable uncertainty supporting the finding of neutrality reported in the clinical component of the RCT. The immediate transcription cost savings and previously documented provider and patient satisfaction may increase the impetus for organisations to invest in such systems, provided they have a foundation of eHealth infrastructure and readiness.

TRIAL REGISTRATION NUMBER

NCT01402609.

Update on Electronic Dental Record and Clinical Computing Adoption Among Dental Practices in the United States

This study sought to re-characterize trends and factors affecting electronic dental record (EDR) and technologies adoption by dental practices and the impact of the Health Information Technology for Economic and Clinical Health (HITECH) act on adoption rates through 2012. A 39-question survey was disseminated nationally over 3 months using a novel, statistically-modeled approach informed by early response rates to achieve a predetermined sample. EDR adoption rate for clinical support was 52%. Adoption rates were higher among: (1) younger dentists; (2) dentists ≤ 15 years in practice; (3) females; and (4) group practices. Top barriers to adoption were EDR cost/expense, cost-benefit ratio, electronic format conversion, and poor EDR usability. Awareness of the Federal HITECH incentive program was low. The rate of chairside computer implementation was 72%. Adoption of EDR in dental offices in the United States was higher in 2012 than electronic health record adoption rates in medical offices and was not driven by the HITECH program. Patient portal adoption among dental practices in the United States remained low.

Medicare Program; Hospital Inpatient Prospective Payment Systems for Acute Care Hospitals and the Long-Term Care Hospital Prospective Payment System and Policy Changes and Fiscal Year 2018 Rates; Quality Reporting Requirements for Specific Providers; Medicare and Medicaid Electronic Health Record (EHR) Incentive Program Requirements for Eligible Hospitals, Critical Access Hospitals, and Eligible Professionals; Provider-Based Status of Indian Health Service and Tribal Facilities and Organizations; Costs Reporting and Provider Requirements; Agreement Termination Notices. Final rule

We are revising the Medicare hospital inpatient prospective payment systems (IPPS) for operating and capital-related costs of acute care hospitals to implement changes arising from our continuing experience with these systems for FY 2018. Some of these changes implement certain statutory provisions contained in the Pathway for Sustainable Growth Rate (SGR) Reform Act of 2013, the Improving Medicare Post-Acute Care Transformation Act of 2014, the Medicare Access and CHIP Reauthorization Act of 2015, the 21st Century Cures Act, and other legislation. We also are making changes relating to the provider-based status of Indian Health Service (IHS) and Tribal facilities and organizations and to the low-volume hospital payment adjustment for hospitals operated by the IHS or a Tribe. In addition, we are providing the market basket update that will apply to the rate-of-increase limits for certain hospitals excluded from the IPPS that are paid on a reasonable cost basis subject to these limits for FY 2018. We are updating the payment policies and the annual payment rates for the Medicare prospective payment system (PPS) for inpatient hospital services provided by long-term care hospitals (LTCHs) for FY 2018. In addition, we are establishing new requirements or revising existing requirements for quality reporting by specific Medicare providers (acute care hospitals, PPS-exempt cancer hospitals, LTCHs, and inpatient psychiatric facilities). We also are establishing new requirements or revising existing requirements for eligible professionals (EPs), eligible hospitals, and critical access hospitals (CAHs) participating in the Medicare and Medicaid Electronic Health Record (EHR) Incentive Programs. We are updating policies relating to the Hospital Value-Based Purchasing (VBP) Program, the Hospital Readmissions Reduction Program, and the Hospital-Acquired Condition (HAC) Reduction Program. We also are making changes relating to transparency of accrediting organization survey reports and plans of correction of providers and suppliers; electronic signature and electronic submission of the Certification and Settlement Summary page of the Medicare cost reports; and clarification of provider disposal of assets.

Quality Requirements for Electronic Health Record Systems*. A Japanese-German Information Management Perspective

BACKGROUND

For more than 30 years, there has been close cooperation between Japanese and German scientists with regard to information systems in health care. Collaboration has been formalized by an agreement between the respective scientific associations. Following this agreement, two joint workshops took place to explore the similarities and differences of electronic health record systems (EHRS) against the background of the two national healthcare systems that share many commonalities.

OBJECTIVES

To establish a framework and requirements for the quality of EHRS that may also serve as a basis for comparing different EHRS.

METHODS

Donabedian's three dimensions of quality of medical care were adapted to the outcome, process, and structural quality of EHRS and their management. These quality dimensions were proposed before the first workshop of EHRS experts and enriched during the discussions.

RESULTS

The Quality Requirements Framework of EHRS (QRF-EHRS) was defined and complemented by requirements for high quality EHRS. The framework integrates three quality dimensions (outcome, process, and structural quality), three layers of information systems (processes and data, applications, and physical tools) and three dimensions of information management (strategic, tactical, and operational information management).

CONCLUSIONS

Describing and comparing the quality of EHRS is in fact a multidimensional problem as given by the QRF-EHRS framework. This framework will be utilized to compare Japanese and German EHRS, notably those that were presented at the second workshop.

A systematic review of the cost and cost-effectiveness of electronic discharge communications

BACKGROUND

The transition between acute care and community care can be a vulnerable period in a patients' treatment due to the potential for postdischarge adverse events. The vulnerability of this period has been attributed to factors related to the miscommunication between hospital-based and community-based physicians. Electronic discharge communication has been proposed as one solution to bridge this communication gap. Prior to widespread implementation of these tools, the costs and benefits should be considered.

OBJECTIVE

To establish the cost and cost-effectiveness of electronic discharge communications compared with traditional discharge systems for individuals who have completed care with one provider and are transitioning care to a new provider.

METHODS

We conducted a systematic review of the published literature, using best practices, to identify economic evaluations/cost analyses of electronic discharge communication tools. Inclusion criteria were: (1) economic analysis and (2) electronic discharge communication tool as the intervention. Quality of each article was assessed, and data were summarised using a component-based analysis.

RESULTS

One thousand unique abstracts were identified, and 57 full-text articles were assessed for eligibility. Four studies met final inclusion criteria. These studies varied in their primary objectives, methodology, costs reported and outcomes. All of the studies were of low to good quality. Three of the studies reported a cost-effectiveness measure ranging from an incremental daily cost of decreasing average discharge note completion by 1 day of $0.331 (2003 Canadian), a cost per page per discharge letter of €9.51 and a dynamic net present value of €31.1 million for a 5-year implementation of the intervention. None of the identified studies considered clinically meaningful patient or quality outcomes.

DISCUSSION

Economic analyses of electronic discharge communications are scarcely reported, and with inconsistent methodology and outcomes. Further studies are needed to understand the cost-effectiveness and value for patient care.

Planning and Designing the Improving Addiction Care Team (IMPACT) for Hospitalized Adults with Substance Use Disorder

People with substance use disorders (SUD) have high rates of hospitalization and readmission, long lengths of stay, and skyrocketing healthcare costs. Yet, models for improving care are extremely limited. We performed a needs assessment and then convened academic and community partners, including a hospital, community SUD organizations, and Medicaid accountable care organizations, to design a care model for medically complex hospitalized patients with SUD. Needs assessment showed that 58% to 67% of participants who reported active substance use said they were interested in cutting back or quitting. Many reported interest in medication for addiction treatment (MAT). Participants had high rates of costly readmissions and longer than expected length of stay. Community stakeholders identified long wait times and lack of resources for medically complex patients as key barriers. We developed the Improving Addiction Care Team (IMPACT), which includes an inpatient addiction medicine consultation service, rapid-access pathways to posthospital SUD treatment, and a medically enhanced residential care model that integrates antibiotic infusion and residential addiction care. We developed a business case and secured funding from Medicaid and hospital payers. IMPACT provides one pathway for hospitals, payers, and communities to collaboratively address the SUD epidemic. Journal of Hospital Medicine 2017;12:339-342.

Potential Effects of the Electronic Health Record on the Small Physician Practice: A Delphi Study

The Health Information Technology for Economic and Clinical Health (HITECH) Act established the requirement of all medical practices to have certified electronic health records (EHRs). Some primary concerns that have been delaying implementation are issues of cost, revenue impact, and the effect on the patient encounter. Small physician practices (one to four physicians) account for 46 percent of all physicians. The purpose of this qualitative study using a modified Delphi research design was to examine the potential effect of the adoption of the EHR on revenue, unintended costs or savings, and changes in the patient encounter. Fifteen expert panelists completed the three-round survey process. The expert panelists reached a consensus that EHRs would reduce the number of patients seen per day, thereby reducing their revenue. Although the panelists limited their discussion on the effect of patient outcomes, their most dominant concern was the loss of face-to-face time with the patient. They felt that the use of an EHR would reduce the focus on the patient and potentially cause physicians to miss medical conditions. The results of this study indicate an avenue for EHR vendors to develop educational avenues to teach physicians how to optimize the EHR as well as to share success stories that demonstrate improved financial impact.

rEHR: An R package for manipulating and analysing Electronic Health Record data

Research with structured Electronic Health Records (EHRs) is expanding as data becomes more accessible; analytic methods advance; and the scientific validity of such studies is increasingly accepted. However, data science methodology to enable the rapid searching/extraction, cleaning and analysis of these large, often complex, datasets is less well developed. In addition, commonly used software is inadequate, resulting in bottlenecks in research workflows and in obstacles to increased transparency and reproducibility of the research. Preparing a research-ready dataset from EHRs is a complex and time consuming task requiring substantial data science skills, even for simple designs. In addition, certain aspects of the workflow are computationally intensive, for example extraction of longitudinal data and matching controls to a large cohort, which may take days or even weeks to run using standard software. The rEHR package simplifies and accelerates the process of extracting ready-for-analysis datasets from EHR databases. It has a simple import function to a database backend that greatly accelerates data access times. A set of generic query functions allow users to extract data efficiently without needing detailed knowledge of SQL queries. Longitudinal data extractions can also be made in a single command, making use of parallel processing. The package also contains functions for cutting data by time-varying covariates, matching controls to cases, unit conversion and construction of clinical code lists. There are also functions to synthesise dummy EHR. The package has been tested with one for the largest primary care EHRs, the Clinical Practice Research Datalink (CPRD), but allows for a common interface to other EHRs. This simplified and accelerated work flow for EHR data extraction results in simpler, cleaner scripts that are more easily debugged, shared and reproduced.

The Cost of Quality in Diabetes

The adoption and use of Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) is continuing to rise in North America. These systems contain data of varying degrees of quality, including poor quality or "dirty" data. Data entered into EMRs need to be clean or of high quality for them to be useful for a variety of reasons, including quality improvement, clinical decision support, population management, research and system management. There are two potential solutions to obtaining clean data from EMRs: data discipline and data cleansing. Data discipline focuses on ensuring that entry of data into EMRs is of high quality, while data cleansing focuses on cleaning data in the database. Clean data are necessary for healthcare providers to effectively manage chronic diseases and should lead to a reduction in the costs associated with those diseases. The objective of this paper is to compare the costs involved in implementing the two different data cleaning approaches by performing a Budget Impact Analysis (BIA) using diabetes as the exemplar in Canada. The BIA revealed that the cost to implement data discipline is $65 million whereas the cost to implement the data cleansing approach would be $21 million. Even though the cost may seem high, the cost of dirty data is even higher. Data discipline, data cleansing, or a combination of both approaches should be considered going forward.

How Appropriate Is All This Data Sharing? Building Consensus Around What We Need to Know About Shared Electronic Health Records in Extended Circles of Care

BACKGROUND

The bulk of healthcare spending is on individuals who have complex needs related to age, income, chronic disease and mental illness. Care involves many different professions, and interoperable electronic health records (EHRs) are increasingly essential.

OBJECTIVES

The objective of this paper is to describe the use of a nominal group technique (NGT) to develop a stakeholder-centred research agenda for clinical interoperability in extended circles of care that include social supports.

METHODS

We held a day-long meeting with 30 stakeholders, including primary care providers, social supports, patient representatives, health region managers, technology experts, health organizations and experts in privacy, law and ethics. Participants considered, "What research needs to be done to better understand how EHRs should be shared across large healthcare teams that include social supports?" Following sensitizing presentations from researchers and participants, we used an NGT to generate and rank research questions on a 9-point Likert scale. We retained research questions that had a mean score of at least 6.5/9 by at least 70% of the participants over two rounds of consensus-building.

RESULTS

Participants identified and ranked 57 research questions. Five items achieved consensus, related to 1) the impact of information sharing on care team outcomes, 2) data quality/accuracy, 3) cost/benefit, 4) what processes use what data and 5) regulation/legislation.

CONCLUSION

Healthcare reforms are increasingly focused on systems that integrate and coordinate multidisciplinary care, facilitated by EHRs. Research prioritization will ensure common concerns and barriers are addressed and resolved.

Electronic Health Record Implementation Is Associated With a Negligible Change in Outpatient Volume and Billing

The Health Information Technology for Economic and Clinical Health (HITECH) Act mandated that hospitals begin using electronic health records (EHRs). To investigate potential up-coding, we reviewed billing data for changes in patient volumes and up-coding around the time of EHR implementation at our academic medical center. We identified all new, consultation, and return outpatient visits on a monthly basis in the general internal medicine and orthopedics departments at our center. We compared the volume of patient visits and the level of billing coding in these 2 departments before and after their transitions to ambulatory EHRs. Pearson χ2 test was used when appropriate. Patient volumes remained constant during the transition to EHRs. There were small changes in the level of billing coding with EHR implementation. In both departments, these changes accounted for minor, but statistically significant shifts in billing coding (Pearson χ², P < .001). However, the 44.7% relative increase in level 5 coding in our orthopedics department represented only 1.7% of patient visits overall. These findings indicate that lay media reports about an association between dramatic up-coding and EHRs could be misleading.

Mind the Gap. A systematic review to identify usability and safety challenges and practices during electronic health record implementation

OBJECTIVE

Decisions made during electronic health record (EHR) implementations profoundly affect usability and safety. This study aims to identify gaps between the current literature and key stakeholders' perceptions of usability and safety practices and the challenges encountered during the implementation of EHRs.

MATERIALS AND METHODS

Two approaches were used: a literature review and interviews with key stakeholders. We performed a systematic review of the literature to identify usability and safety challenges and best practices during implementation. A total of 55 articles were reviewed through searches of PubMed, Web of Science and Scopus. We used a qualitative approach to identify key stakeholders' perceptions; semi-structured interviews were conducted with a diverse set of health IT stakeholders to understand their current practices and challenges related to usability during implementation. We used a grounded theory approach: data were coded, sorted, and emerging themes were identified. Conclusions from both sources of data were compared to identify areas of misalignment.

RESULTS

We identified six emerging themes from the literature and stakeholder interviews: cost and resources, risk assessment, governance and consensus building, customization, clinical workflow and usability testing, and training. Across these themes, there were misalignments between the literature and stakeholder perspectives, indicating major gaps.

DISCUSSION

Major gaps identified from each of six emerging themes are discussed as critical areas for future research, opportunities for new stakeholder initiatives, and opportunities to better disseminate resources to improve the implementation of EHRs.

CONCLUSION

Our analysis identified practices and challenges across six different emerging themes, illustrated important gaps, and results suggest critical areas for future research and dissemination to improve EHR implementation.

Medicare Program: Hospital Outpatient Prospective Payment and Ambulatory Surgical Center Payment Systems and Quality Reporting Programs; Organ Procurement Organization Reporting and Communication; Transplant Outcome Measures and Documentation Requirements; Electronic Health Record (EHR) Incentive Programs; Payment to Nonexcepted Off-Campus Provider-Based Department of a Hospital; Hospital Value-Based Purchasing (VBP) Program; Establishment of Payment Rates Under the Medicare Physician Fee Schedule for Nonexcepted Items and Services Furnished by an Off-Campus Provider-Based Department of a Hospital. Final rule with comment period and interim final rule with comment period

This final rule with comment period revises the Medicare hospital outpatient prospective payment system (OPPS) and the Medicare ambulatory surgical center (ASC) payment system for CY 2017 to implement applicable statutory requirements and changes arising from our continuing experience with these systems. In this final rule with comment period, we describe the changes to the amounts and factors used to determine the payment rates for Medicare services paid under the OPPS and those paid under the ASC payment system. In addition, this final rule with comment period updates and refines the requirements for the Hospital Outpatient Quality Reporting (OQR) Program and the ASC Quality Reporting (ASCQR) Program. Further, in this final rule with comment period, we are making changes to tolerance thresholds for clinical outcomes for solid organ transplant programs; to Organ Procurement Organizations (OPOs) definitions, outcome measures, and organ transport documentation; and to the Medicare and Medicaid Electronic Health Record Incentive Programs. We also are removing the HCAHPS Pain Management dimension from the Hospital Value-Based Purchasing (VBP) Program. In addition, we are implementing section 603 of the Bipartisan Budget Act of 2015 relating to payment for certain items and services furnished by certain off-campus provider-based departments of a provider. In this document, we also are issuing an interim final rule with comment period to establish the Medicare Physician Fee Schedule payment rates for the nonexcepted items and services billed by a nonexcepted off-campus provider-based department of a hospital in accordance with the provisions of section 603.

Benefits and challenges of EMR implementations in low resource settings: a state-of-the-art review

BACKGROUND

The intent of this review is to discover the types of inquiry and range of objectives and outcomes addressed in studies of the impacts of Electronic Medical Record (EMR) implementations in limited resource settings in sub-Saharan Africa.

METHODS

A state-of-the-art review characterized relevant publications from bibliographic databases and grey literature repositories through systematic searching, concept-mapping, relevance and quality filter optimization, methods and outcomes categorization and key article analysis.

RESULTS

From an initial population of 749 domain articles published before February 2015, 32 passed context and methods filters to merit full-text analysis. Relevant literature was classified by type (e.g., secondary, primary), design (e.g., case series, intervention), focus (e.g., processes, outcomes) and context (e.g., location, organization). A conceptual framework of EMR implementation determinants (systems, people, processes, products) was developed to represent current knowledge about the effects of EMRs in resource-constrained settings and to facilitate comparisons with studies in other contexts.

DISCUSSION

This review provides an overall impression of the types and content of health informatics articles about EMR implementations in sub-Saharan Africa. Little is known about the unique effects of EMR efforts in slum settings. The available reports emphasize the complexity and impact of social considerations, outweighing product and system limitations. Summative guides and implementation toolkits were not found but could help EMR implementers.

CONCLUSION

The future of EMR implementation in sub-Saharan Africa is promising. This review reveals various examples and gaps in understanding how EMR implementations unfold in resource-constrained settings; and opportunities for new inquiry about how to improve deployments in those contexts.

Beyond the EHR money pit: After investing big in health records, systems still face growing IT needs for upgrades, analytics and patient engagement

Demands for constant upgrades to already-installed electronic health record systems are slowing investment in other important digital technologies like telehealth, remote patient monitoring and online billing.

Optimizing revenue cycle performance before, during, and after an EHR implementation

An electronic health record implementation brings risks of adverse revenue cycle activity. Hospitals and health systems can mitigate that risk by taking aproactive, three-phase approach: Identify potential issues prior to implementation. Create teams to oversee operations during implementation. Hold regular meetings after implementation to ensure the system is running smoothly.

Improving Adherence to Cardiovascular Therapies: An Economic Evaluation of a Randomized Pragmatic Trial

OBJECTIVE

Preplanned economic analysis of a pragmatic trial using electronic-medical-record-linked interactive voice recognition (IVR) reminders for enhancing adherence to cardiovascular medications (i.e., statins, angiotensin-converting enzyme inhibitors [ACEIs], and angiotensin receptor blockers [ARBs]).

METHODS

Three groups, usual care (UC), IVR, and IVR plus educational materials (IVR+), with 21,752 suboptimally adherent patients underwent follow-up for 9.6 months on average. Costs to implement and deliver the intervention (from a payer perspective) were tracked during the trial. Medical care costs and outcomes were ascertained using electronic medical records.

RESULTS

Per-patient intervention costs ranged from $9 to $17 for IVR and from $36 to $47 for IVR+. For ACEI/ARB, the incremental cost-effectiveness ratio for each percent adherence increase was about 3 times higher with IVR+ than with IVR ($6 and $16 for IVR and IVR+, respectively). For statins, the incremental cost-effectiveness ratio for each percent adherence increase was about 7 times higher with IVR+ than with IVR ($6 and $43 for IVR and IVR+, respectively). Considering potential cost offsets from reduced cardiovascular events, the probability of breakeven was the highest for UC, but the IVR-based interventions had a higher probability of breakeven for subgroups with a baseline low-density lipoprotein (LDL) level of more than 100 mg/dl and those with two or more calls.

CONCLUSIONS

We found that the use of an automated voice messaging system to promote adherence to ACEIs/ARBs and statins may be cost-effective, depending on a decision maker's willingness to pay for unit increase in adherence. When considering changes in LDL level and downstream medical care offsets, UC is the optimal strategy for the general population. However, IVR-based interventions may be the optimal choice for those with elevated LDL values at baseline.

Characteristics of Local Health Departments Associated with Implementation of Electronic Health Records and Other Informatics Systems

OBJECTIVE

Assessing local health departments' (LHDs') informatics capacities is important, especially within the context of broader, systems-level health reform. We assessed a nationally representative sample of LHDs' adoption of information systems and the factors associated with adoption and implementation by examining electronic health records, health information exchange, immunization registry, electronic disease reporting system, and electronic laboratory reporting.

METHODS

We used data from the National Association of County and City Health Officials' 2013 National Profile of LHDs. We performed descriptive statistics and multinomial logistic regression for the five implementation-oriented outcome variables of interest, with three levels of implementation (implemented, plan to implement, and no activity). Independent variables included infrastructural and financial capacity and other characteristics associated with informatics capacity.

RESULTS

Of 505 LHDs that responded to the survey, 69 (13.5%) had implemented health information exchanges, 122 (22.2%) had implemented electronic health records, 245 (47.5%) had implemented electronic laboratory reporting, 368 (73.0%) had implemented an electronic disease reporting system, and 416 (83.8%) had implemented an immunization registry. LHD characteristics associated with health informatics adoption included provision of greater number of clinical services, greater per capita public health expenditures, health information systems specialists on staff, larger population size, decentralized governance system, one or more local boards of health, metropolitan jurisdiction, and top executive with more years in the job.

CONCLUSION

Many LHDs lack health informatics capacity, particularly in smaller, rural jurisdictions. Cross-jurisdictional sharing, investment in public health informatics infrastructure, and additional training may help address these shortfalls.

Cost Effective Staffing for an EHR Implementation

This case study explores costs of electronic health record (EHR) implementation with the nursing super-user role in a metropolitan, not-for-profit health care system. Tapping the local pool of unemployed newly graduated nurses as half the required super-user workforce leveraged the technology skills of novice registered nurses (RNs) as trainers of experienced nurses in five hospitals. The novel workforce migrated from hospital to hospital, thereby reducing the number of experienced nurses reassigned to super-user duties in each hospital. This strategy reduced the amount of contract labor required to backfill nurse super-users' clinical shifts. Employment of the recently graduated nurses as RN residents upon completion of the EHR implementation enabled the organization to augment its clinical workforce with expert users of its EHR. The proposed innovative model increases super-users, minimizes disruption of core staffing, and dramatically reduces expense.

Development and Appraisal of Multiple Accounting Record System (Mars)

The aim of the system is to achieve simplification of workflow, reduction of recording time, and increase the income for the study hospital.

METHODS

The project team decided to develop a multiple accounting record system that generates the account records based on the nursing records automatically, reduces the time and effort for nurses to review the procedure and provide another note of material consumption. Three configuration files were identified to demonstrate the relationship of treatments and reimbursement items.

RESULTS

The workflow was simplified. The nurses averagely reduced 10 minutes of daily recording time, and the reimbursement points have been increased by 7.49%.

CONCLUSION

The project streamlined the workflow and provides the institute a better way in finical management.

Measuring Nursing Value from the Electronic Health Record

We report the findings of a big data nursing value expert group made up of 14 members of the nursing informatics, leadership, academic and research communities within the United States tasked with 1. Defining nursing value, 2. Developing a common data model and metrics for nursing care value, and 3. Developing nursing business intelligence tools using the nursing value data set. This work is a component of the Big Data and Nursing Knowledge Development conference series sponsored by the University Of Minnesota School Of Nursing. The panel met by conference calls for fourteen 1.5 hour sessions for a total of 21 total hours of interaction from August 2014 through May 2015. Primary deliverables from the bit data expert group were: development and publication of definitions and metrics for nursing value; construction of a common data model to extract key data from electronic health records; and measures of nursing costs and finance to provide a basis for developing nursing business intelligence and analysis systems.

Effectiveness and Safety of a Clinical Decision Rule to Reduce Repeat Ionized Calcium Testing: A Pre/Post Test Intervention

The American Recovery and Reinvestment Act authorizes the Centers for Medicare and Medicaid Services to reimburse hospitals that demonstrate meaningful use of certified electronic health record technology. We sought to demonstrate meaningful use by developing and implementing one clinical decision support rule in the computerized physician order entry system that targets clinician-ordered repeat ionized calcium measurement at the University of Connecticut Health Center. The rule consists of a pop-up computer reminder that is triggered by ordering a second ionized calcium test within 72 hours after an initial normal test, with no clear indication for repeat testing. We implemented the rule on December 14, 2010, and have reviewed all data collected through December 2014. We found that the number of repeat tests decreased from 46% to 14% with no significant increase in the number of serious adverse events. We conclude that computerized reminders can decrease unnecessary repeat testing in the inpatient setting.