Poster 474: Development of a Return to Work Tool for Primary Care Providers for Low Back Pain Patients: Pilot Study Assessment

A, Raja; Trivedi, Parth; Nabeel, Ismail

doi:10.1016/j.pmrj.2017.08.419

Cited by 2 publications

(1 citation statement)

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“…The collection of the right information within the EHR, in the right formats will provide opportunities for dynamic clinical decision support tools [44,59], such as RTW tools, that can assist practitioners and RTW providers in providing recommendations to patients with WMSD [25]. Clinical decision support that is integrated into an EHR could improve compliance to guidelines, potentially improving clinical outcomes and reducing RTW costs.…”

Section: Status [19]mentioning

confidence: 99%

Electronic Health Records for Predicting Outcomes to Work-Related Musculoskeletal Disorders: A Scoping Review

Wassell,

Vitiello,

Butler-Henderson

et al. 2024

J Occup Rehabil

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Purpose Through electronic health records (EHRs), musculoskeletal (MSK) therapists such as chiropractors and physical therapists, as well as occupational medicine physicians could collect data on many variables that can be traditionally challenging to collect in managing work-related musculoskeletal disorders (WMSDs). The review’s objectives were to explore the extent of research using EHRs in predicting outcomes of WMSDs by MSK therapists. Method A systematic search was conducted in Medline, PubMed, CINAHL, and Embase. Grey literature was searched. 2156 unique papers were retrieved, of which 38 were included. Three themes were explored, the use of EHRs to predict outcomes to WMSDs, data sources for predicting outcomes to WMSDs, and adoption of standardised information for managing WMSDs. Results Predicting outcomes of all MSK disorders using EHRs has been researched in 6 studies, with only 3 focusing on MSK therapists and 4 addressing WMSDs. Similar to all secondary data source research, the challenges include data quality, missing data and unstructured data. There is not yet a standardised or minimum set of data that has been defined for MSK therapists to collect when managing WMSD. Further work based on existing frameworks is required to reduce the documentation burden and increase usability. Conclusion The review outlines the limited research on using EHRs to predict outcomes of WMSDs. It highlights the need for EHR design to address data quality issues and develop a standardised data set in occupational healthcare that includes known factors that potentially predict outcomes to help regulators, research efforts, and practitioners make better informed clinical decisions.

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Section: Status [19]mentioning

confidence: 99%

Electronic Health Records for Predicting Outcomes to Work-Related Musculoskeletal Disorders: A Scoping Review

Wassell,

Vitiello,

Butler-Henderson

et al. 2024

J Occup Rehabil

View full text Add to dashboard Cite

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Use of Epic Electronic Health Record System for Health Care Research: Scoping Review

Chishtie,

Sapiro,

Wiebe

et al. 2023

J Med Internet Res

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Background Electronic health records (EHRs) enable health data exchange across interconnected systems from varied settings. Epic is among the 5 leading EHR providers and is the most adopted EHR system across the globe. Despite its global reach, there is a gap in the literature detailing how EHR systems such as Epic have been used for health care research. Objective The objective of this scoping review is to synthesize the available literature on use cases of the Epic EHR for research in various areas of clinical and health sciences. Methods We used established scoping review methods and searched 9 major information repositories, including databases and gray literature sources. To categorize the research data, we developed detailed criteria for 5 major research domains to present the results. Results We present a comprehensive picture of the method types in 5 research domains. A total of 4669 articles were screened by 2 independent reviewers at each stage, while 206 articles were abstracted. Most studies were from the United States, with a sharp increase in volume from the year 2015 onwards. Most articles focused on clinical care, health services research and clinical decision support. Among research designs, most studies used longitudinal designs, followed by interventional studies implemented at single sites in adult populations. Important facilitators and barriers to the use of Epic and EHRs in general were identified. Important lessons to the use of Epic and other EHRs for research purposes were also synthesized. Conclusions The Epic EHR provides a wide variety of functions that are helpful toward research in several domains, including clinical and population health, quality improvement, and the development of clinical decision support tools. As Epic is reported to be the most globally adopted EHR, researchers can take advantage of its various system features, including pooled data, integration of modules and developing decision support tools. Such research opportunities afforded by the system can contribute to improving quality of care, building health system efficiencies, and conducting population-level studies. Although this review is limited to the Epic EHR system, the larger lessons are generalizable to other EHRs.

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Poster 474: Development of a Return to Work Tool for Primary Care Providers for Low Back Pain Patients: Pilot Study Assessment

Cited by 2 publications

References 0 publications

Electronic Health Records for Predicting Outcomes to Work-Related Musculoskeletal Disorders: A Scoping Review

Electronic Health Records for Predicting Outcomes to Work-Related Musculoskeletal Disorders: A Scoping Review

Use of Epic Electronic Health Record System for Health Care Research: Scoping Review

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