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

The role of information systems in emergency department decision-making-a literature review

OBJECTIVES

Healthcare providers employ heuristic and analytical decision-making to navigate the high-stakes environment of the emergency department (ED). Despite the increasing integration of information systems (ISs), research on their efficacy is conflicting. Drawing on related fields, we investigate how timing and mode of delivery influence IS effectiveness. Our objective is to reconcile previous contradictory findings, shedding light on optimal IS design in the ED.

MATERIALS AND METHODS

We conducted a systematic review following PRISMA across PubMed, Scopus, and Web of Science. We coded the ISs' timing as heuristic or analytical, their mode of delivery as active for automatic alerts and passive when requiring user-initiated information retrieval, and their effect on process, economic, and clinical outcomes.

RESULTS

Our analysis included 83 studies. During early heuristic decision-making, most active interventions were ineffective, while passive interventions generally improved outcomes. In the analytical phase, the effects were reversed. Passive interventions that facilitate information extraction consistently improved outcomes.

DISCUSSION

Our findings suggest that the effectiveness of active interventions negatively correlates with the amount of information received during delivery. During early heuristic decision-making, when information overload is high, physicians are unresponsive to alerts and proactively consult passive resources. In the later analytical phases, physicians show increased receptivity to alerts due to decreased diagnostic uncertainty and information quantity. Interventions that limit information lead to positive outcomes, supporting our interpretation.

CONCLUSION

We synthesize our findings into an integrated model that reveals the underlying reasons for conflicting findings from previous reviews and can guide practitioners in designing ISs in the ED.

Value of Electronic Health Records Measured Using Financial and Clinical Outcomes: Quantitative Study

BACKGROUND

The Health Information Technology for Economic and Clinical Health Act of 2009 was legislated to reduce health care costs, improve quality, and increase patient safety. Providers and organizations were incentivized to exhibit meaningful use of certified electronic health record (EHR) systems in order to achieve this objective. EHR adoption is an expensive investment, given the resources and capital that are invested. Due to the cost of the investment, a return on the EHR adoption investment is expected.

OBJECTIVE

This study performed a value analysis of EHRs. The objective of this study was to investigate the relationship between EHR adoption levels and financial and clinical outcomes by combining both financial and clinical outcomes into one conceptual model.

METHODS

We examined the multivariate relationships between different levels of EHR adoption and financial and clinical outcomes, along with the time variant control variables, using moderation analysis with a longitudinal fixed effects model. Since it is unknown as to when hospitals begin experiencing improvements in financial outcomes, additional analysis was conducted using a 1- or 2-year lag for profit margin ratios.

RESULTS

A total of 5768 hospital-year observations were analyzed over the course of 4 years. According to the results of the moderation analysis, as the readmission rate increases by 1 unit, the effect of a 1-unit increase in EHR adoption level on the operating margin decreases by 5.38%. Hospitals with higher readmission payment adjustment factors have lower penalties.

CONCLUSIONS

This study fills the gap in the literature by evaluating individual relationships between EHR adoption levels and financial and clinical outcomes, in addition to evaluating the relationship between EHR adoption level and financial outcomes, with clinical outcomes as moderators. This study provided statistically significant evidence (P<.05), indicating that there is a relationship between EHR adoption level and operating margins when this relationship is moderated by readmission rates, meaning hospitals that have adopted EHRs could see a reduction in their readmission rates and an increase in operating margins. This finding could further be supported by evaluating more recent data to analyze whether hospitals increasing their level of EHR adoption would decrease readmission rates, resulting in an increase in operating margins. Hospitals would incur lower penalties as a result of improved readmission rates, which would contribute toward improved operating margins.

Modeling patient-related workload in the emergency department using electronic health record data

INTRODUCTION

Understanding and managing clinician workload is important for clinician (nurses, physicians and advanced practice providers) occupational health as well as patient safety. Efforts have been made to develop strategies for managing clinician workload by improving patient assignment. The goal of the current study is to use electronic health record (EHR) data to predict the amount of work that individual patients contribute to clinician workload (patient-related workload).

METHODS

One month of EHR data was retrieved from an emergency department (ED). A list of workload indicators and five potential workload proxies were extracted from the data. Linear regression and four machine learning classification algorithms were utilized to model the relationship between the indicators and the proxies.

RESULTS

Linear regression proved that the indicators explained a substantial amount of variance of the proxies (four out of five proxies were modeled with R² > 0.80). Classification algorithms also showed success in classifying a patient as having high or low task demand based on data from early in the ED visit (e.g. 80 % accurate binary classification with data from the first hour).

CONCLUSION

The main contribution of this study is demonstrating the potential of using EHR data to predict patient-related workload automatically in the ED. The predicted workload can potentially help in managing clinician workload by supporting decisions around the assignment of new patients to providers. Future work should focus on identifying the relationship between workload proxies and actual workload, as well as improving prediction performance of regression and multi-class classification.

Health Outcomes and Healthcare Efficiencies Associated with the Use of Electronic Health Records in Hospital Emergency Departments: a Systematic Review

Healthcare organisations and governments have invested heavily in electronic health records in anticipation that they will deliver improved health outcomes for consumers and efficiencies across emergency departments. Despite such investment, electronic health records designed to support emergency care have been poorly evaluated. Given the accelerated development and adoption of information technology across healthcare, it is timely that a systematic review of this evidence base is updated in order to drive improvements to design, interoperability and overall clinical utility of electronic health record systems implemented in emergency departments. To assess the impact of electronic health records on healthcare outcomes and efficiencies in the emergency department we carried out a systematic review of published studies on this topic. This is the first review to summarise the cost efficiencies associated with electronic health record use outside of just the United States of America. A systematic search was performed in three scientific databases (MEDLINE, EMcare and EMBASE), of literature published between January 2000 and September 2019. Studies were included in this review if they evaluated electronic health records or health information exchanges (and synonyms for these terms), reported patient outcome and/or healthcare efficiency benefits, were peer-reviewed and published in English. Out of 6635 articles, 23 studies met our inclusion criteria. Wide variation regarding electronic health record access in the emergency department was reported (1.46-56.6%), yet was most frequently reported as less than 20%. Seven different types of health outcomes and three different types of efficiency improvements associated with electronic health record use in the emergency department were identified. The most frequently reported findings were efficiencies, including reductions in diagnostic tests, imaging and costs. This review is the first to report moderate to significant increases in admission rates are associated with electronic health record use in the emergency department, contrasting the findings of previous reviews. Diversity in the methodology employed across the included studies emphasises the need for further research to examine the impact of electronic health record implementation and system design on the findings reported, in order to ensure return on investment for stakeholders and optimised consumer care.

Increasing emergency department utilization of brain imaging in patients with primary brain cancer

PURPOSE

To study changing emergency department (ED) brain imaging utilization in patients with primary brain cancers.

METHODS

Using 2006-2014 data from the Nationwide Emergency Department Sample (NEDS), we identified all patients with primary brain cancers visiting EDs and evaluated trends of head CT and brain MRI utilization. Multivariable logistic regression analyses were used to determine patient- and hospital-specific factors associated with brain imaging utilization.

RESULTS

A weighted cohort of 40,862 ED visits were included (mean age 55; 54% male), increasing from 3932 in 2006 to 5625 in 2014 (+ 43%). A total of 14.4% underwent brain imaging, with 13.2% undergoing CT, 2.3% undergoing MRI, and 1.1% undergoing both modalities. Between 2006 and 2014, there was a 104% increase in the rate of ED brain imaging (from 9.7% in 2006 to 19.8% in 2014). Factors associated with higher utilization of ED brain imaging in adults were non-teaching hospital status and Midwest and Northeast hospital regions (compared with the West). In pediatric patients, higher utilization was associated with older age, higher median household income of patient's ZIP code, and visits in rural, non-teaching hospitals located in the Midwest, South, and Northeast (compared with the West).

CONCLUSION

In US patients with primary brain cancer, the number of ED visits increased annually, and the utilization of ED head imaging examinations doubled in a recent 9-year period. A variety of sociodemographic characteristics are associated with a higher likelihood of imaging in both adult and pediatric patients.

Consumer perceptions of health IT utilization and benefits

Objectives

The objective of this article is to examine consumer perceptions of health information technology (health IT) utilization and benefits through an integrated conceptual framework.

Materials and Methods

This article employs an integrated conceptual framework to examine consumer perceptions of health IT. A consumer survey yielded 1125 completed responses. A factor-based scale was developed for each sub-construct. Bivariate analysis using χ² tests was performed to determine differences in the percentage of respondents who agreed with each sub-construct based on whether their physician used an electronic health record (EHR) system. Multivariable logistic regression that controlled for demographic characteristics of respondents was performed to determine adjusted odds of agreeing with selected opinions of health information exchange (HIE).

Results

Results indicate that respondents whose physicians used an EHR system were significantly more likely to agree that there was a perceived benefit with HIE and to care provided; that the patient should have control over the record; that they trust the physician and security of the medical information; that they understand the need for HIE, and that HIE must be easy to use.

Discussion

The results suggest that consumers who have experienced the use of one technology in the healthcare setting can recognize the potential benefit of another technology. Race/ethnicity, gender, and education played some role in respondents’ views of EHRs and HIE, more specifically, non-Hispanic African American participants indicated lower levels of trust in HIE when compared with non-Hispanic Whites.

Conclusion

This cross-sectional survey indicated that physician use of EHRs significantly increases the odds of consumers’ seeing perceived benefits of HIE and understanding the need for HIE.

Electronic Health Record Use Among American Neurotology Society Members

OBJECTIVE

To describe the use of electronic health records (EHR) among members of the American Neurotology Society (ANS).

STUDY DESIGN

Cross-sectional.

SETTING

Active ANS members in November 2017.

INTERVENTION

Internet-based survey.

MAIN OUTCOME MEASURE

Survey that assessed the use of EHR in practice, types of EHR programs, different elements of EHR employed, and respondents' satisfaction and efficiency with EHR.

RESULTS

One hundred twenty-seven ANS members responded to the survey with 67 (52.8%) respondents working in academic practice and 60 (47.2%) respondents working in private practice. Epic was the most commonly used EHR with 89 (70.1%) respondents using this system. Among all respondents, 84 (66.1%) respondents reported their efficiency was reduced by EHR use, and there was an even split between respondents who reported they were satisfied versus dissatisfied with their EHR (∼40% each). We found that younger members were more likely to feel EHR increased their efficiency compared with the older members (p = 0.04). In all other analyses, we found no significant difference in efficiency and satisfaction between age groups, practice settings, presence of residents or fellows, or specific EHR used. The main challenges reported by ANS members related to the EHR were increased time burden, poor user interface, lack of customizability, and the focus away from patients.

CONCLUSIONS

The majority of ANS members felt their efficiency decreased as a result of EHR. These findings provide specific changes to the EHR that would improve efficiency and satisfaction among neurotologists.