Literature DB >> 30681451

It's Time to Wikify Clinical Documentation: How Collaborative Authorship Can Reduce the Burden and Improve the Quality of the Electronic Health Record.

Jeremy L Warner1, Jeffery Smith, Adam Wright.   

Abstract

Electronic health records (EHRs) have become ubiquitous tools and represent the standard of care for 96% of hospitals and 86% of ambulatory physicians in the United States. With adoption of EHRs came the promise of improved efficiency, higher-quality care, and lower costs. Unfortunately, some clinicians are now spending twice as much time on documentation as they spend seeing patients, and the documentation paradigm of problem-oriented medical records is contributing to this imbalance. It is time to consider new innovations. The collaborative wiki format offers many opportunities to ease the burden of documentation as well as to increase the usefulness of the recorded clinical data. Wikis support multiple authorship, have built-in features to track edits and changes, allow for contextual linkages (e.g., linking medical problems to their treatment), and support new technologies such as application programming interfaces, which allow for safe and secure exchange of information. In this Perspective, the authors describe the rationale for considering this approach to clinical documentation and propose a pilot to learn about its effectiveness. They believe wiki-based documentation will become increasingly attractive, especially as new legislation and directives from policymakers seek to reduce the crushing documentation burden and as the U.S. health care system transitions from an episode-based payment structure to a value-based, outcomes-focused system.

Entities:  

Year:  2019        PMID: 30681451     DOI: 10.1097/ACM.0000000000002613

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  3 in total

1.  An Interprofessional Approach to Clinical Workflow Evaluation Focused on the Electronic Health Record Using Time motion Study Methods.

Authors:  Jessica Schwartz; Jonathan Elias; Cody Slater; Kenrick Cato; Sarah Collins Rossetti
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

2.  A Fully Collaborative, Noteless Electronic Medical Record Designed to Minimize Information Chaos: Software Design and Feasibility Study.

Authors:  Jackson Steinkamp; Abhinav Sharma; Wasif Bala; Jacob J Kantrowitz
Journal:  JMIR Form Res       Date:  2021-11-09

3.  Prevalence and Sources of Duplicate Information in the Electronic Medical Record.

Authors:  Jackson Steinkamp; Jacob J Kantrowitz; Subha Airan-Javia
Journal:  JAMA Netw Open       Date:  2022-09-01
  3 in total

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