Literature DB >> 31821887

EHR audit logs: A new goldmine for health services research?

Julia Adler-Milstein1, Jason S Adelman2, Ming Tai-Seale3, Vimla L Patel4, Chris Dymek5.   

Abstract

A byproduct of the transition to electronic health records (EHRs) is the associated observational data that capture EHR users' granular interactions with the medical record. Often referred to as audit log data or event log data, these datasets capture and timestamp user activity while they are logged in to the EHR. These data - alone and in combination with other datasets - offer a new source of insights, which cannot be gleaned from claims data or clinical data, to support health services research and those studying healthcare processes and outcomes. In this commentary, we seek to promote broader awareness of EHR audit log data and to stimulate their use in many contexts. We do so by describing EHR audit log data and offering a framework for their potential uses in quality domains (as defined by the National Academy of Medicine). The framework is illustrated with select examples in the safety and efficiency domains, along with their accompanying methodologies, which serve as a proof of concept. This article also discusses insights and challenges from working with EHR audit log data. Ensuring that researchers are aware of such data, and the new opportunities they offer, is one way to assure that our healthcare system benefits from the digital revolution.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Audit log data; Clinical workflow; EHRs; Event log data; Health services research; Health system evaluation

Mesh:

Year:  2019        PMID: 31821887     DOI: 10.1016/j.jbi.2019.103343

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  19 in total

1.  Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes.

Authors:  Morteza Noshad; Christian C Rose; Robert Thombley; Jonathan Chiang; Conor K Corbin; Minh Nguyen; Vincent X Liu; Julia Adler-Milstein; Jonathan H Chen
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

2.  Trends in user-initiated health information exchange in the inpatient, outpatient, and emergency settings.

Authors:  Saurabh Rahurkar; Joshua R Vest; John T Finnell; Brian E Dixon
Journal:  J Am Med Inform Assoc       Date:  2021-03-01       Impact factor: 4.497

3.  Predicting physician burnout using clinical activity logs: Model performance and lessons learned.

Authors:  Sunny S Lou; Hanyang Liu; Benjamin C Warner; Derek Harford; Chenyang Lu; Thomas Kannampallil
Journal:  J Biomed Inform       Date:  2022-02-05       Impact factor: 6.317

4.  Measuring Electronic Health Record Use in the Pediatric ICU Using Audit-Logs and Screen Recordings.

Authors:  Amrita Sinha; Lindsay A Stevens; Felice Su; Natalie M Pageler; Daniel S Tawfik
Journal:  Appl Clin Inform       Date:  2021-08-11       Impact factor: 2.762

5.  Accuracy of Physician Electronic Health Record Usage Analytics using Clinical Test Cases.

Authors:  Brian Lo; Lydia Sequeira; Gillian Strudwick; Damian Jankowicz; Khaled Almilaji; Anjchuca Karunaithas; Dennis Hang; Tania Tajirian
Journal:  Appl Clin Inform       Date:  2022-10-05       Impact factor: 2.762

6.  Effect of clinician attention switching on workload and wrong-patient errors.

Authors:  Sunny S Lou; Seunghwan Kim; Derek Harford; Benjamin C Warner; Philip R O Payne; Joanna Abraham; Thomas Kannampallil
Journal:  Br J Anaesth       Date:  2022-05-12       Impact factor: 11.719

7.  Conceptual considerations for using EHR-based activity logs to measure clinician burnout and its effects.

Authors:  Thomas Kannampallil; Joanna Abraham; Sunny S Lou; Philip R O Payne
Journal:  J Am Med Inform Assoc       Date:  2021-04-23       Impact factor: 4.497

8.  Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning.

Authors:  Bob Chen; Wael Alrifai; Cheng Gao; Barrett Jones; Laurie Novak; Nancy Lorenzi; Daniel France; Bradley Malin; You Chen
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

9.  Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis.

Authors:  Edward R Melnick; Shawn Y Ong; Allan Fong; Vimig Socrates; Raj M Ratwani; Bidisha Nath; Michael Simonov; Anup Salgia; Brian Williams; Daniel Marchalik; Richard Goldstein; Christine A Sinsky
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

10.  Impact of Changes in EHR Use during COVID-19 on Physician Trainee Mental Health.

Authors:  Katherine J Holzer; Sunny S Lou; Charles W Goss; Jaime Strickland; Bradley A Evanoff; Jennifer G Duncan; Thomas Kannampallil
Journal:  Appl Clin Inform       Date:  2021-06-02       Impact factor: 2.762

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