Literature DB >> 21676941

Handling anticipated exceptions in clinical care: investigating clinician use of 'exit strategies' in an electronic health records system.

Kai Zheng1, David A Hanauer, Rema Padman, Michael P Johnson, Anwar A Hussain, Wen Ye, Xiaomu Zhou, Herbert S Diamond.   

Abstract

Unpredictable yet frequently occurring exception situations pervade clinical care. Handling them properly often requires aberrant actions temporarily departing from normal practice. In this study, the authors investigated several exception-handling procedures provided in an electronic health records system for facilitating clinical documentation, which the authors refer to as 'data entry exit strategies.' Through a longitudinal analysis of computer-recorded usage data, the authors found that (1) utilization of the exit strategies was not affected by postimplementation system maturity or patient visit volume, suggesting clinicians' needs to 'exit' unwanted situations are persistent; and (2) clinician type and gender are strong predictors of exit-strategy usage. Drilldown analyses further revealed that the exit strategies were judiciously used and enabled actions that would be otherwise difficult or impossible. However, many data entries recorded via them could have been 'properly' documented, yet were not, and a considerable proportion containing temporary or incomplete information was never subsequently amended. These findings may have significant implications for the design of safer and more user-friendly point-of-care information systems for healthcare.

Entities:  

Mesh:

Year:  2011        PMID: 21676941      PMCID: PMC3197991          DOI: 10.1136/amiajnl-2011-000118

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  9 in total

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3.  Lessons from "Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system".

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4.  Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system.

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5.  The extent and importance of unintended consequences related to computerized provider order entry.

Authors:  Joan S Ash; Dean F Sittig; Eric G Poon; Kenneth Guappone; Emily Campbell; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

Review 6.  The impact of computerized provider order entry systems on inpatient clinical workflow: a literature review.

Authors:  Zahra Niazkhani; Habibollah Pirnejad; Marc Berg; Jos Aarts
Journal:  J Am Med Inform Assoc       Date:  2009-04-23       Impact factor: 4.497

7.  Off the record--avoiding the pitfalls of going electronic.

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8.  Data from clinical notes: a perspective on the tension between structure and flexible documentation.

Authors:  S Trent Rosenbloom; Joshua C Denny; Hua Xu; Nancy Lorenzi; William W Stead; Kevin B Johnson
Journal:  J Am Med Inform Assoc       Date:  2011-01-12       Impact factor: 4.497

9.  Role of computerized physician order entry systems in facilitating medication errors.

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  9 in total
  14 in total

Review 1.  Studying Workflow and Workarounds in Electronic Health Record-Supported Work to Improve Health System Performance.

Authors:  Kai Zheng; Raj M Ratwani; Julia Adler-Milstein
Journal:  Ann Intern Med       Date:  2020-06-02       Impact factor: 25.391

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3.  Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE).

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4.  Examining the use, contents, and quality of free-text tobacco use documentation in the Electronic Health Record.

Authors:  Elizabeth S Chen; Elizabeth W Carter; Indra Neil Sarkar; Tamara J Winden; Genevieve B Melton
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

5.  Medication safety alert fatigue may be reduced via interaction design and clinical role tailoring: a systematic review.

Authors:  Mustafa I Hussain; Tera L Reynolds; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

6.  Electronic Health Record (EHR) Abstraction.

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7.  How many medication orders are entered through free-text in EHRs?--a study on hypoglycemic agents.

Authors:  Li Zhou; Lisa M Mahoney; Anastasiya Shakurova; Foster Goss; Frank Y Chang; David W Bates; Roberto A Rocha
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

8.  Characterizing the use and contents of free-text family history comments in the Electronic Health Record.

Authors:  Elizabeth S Chen; Genevieve B Melton; Timothy E Burdick; Paul T Rosenau; Indra Neil Sarkar
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

9.  Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials.

Authors:  Siddhartha R Jonnalagadda; Abhishek K Adupa; Ravi P Garg; Jessica Corona-Cox; Sanjiv J Shah
Journal:  J Cardiovasc Transl Res       Date:  2017-06-05       Impact factor: 4.132

10.  Leveraging EHR data for outcomes and comparative effectiveness research in oncology.

Authors:  Frank J Manion; Marcelline R Harris; Ayse G Buyuktur; Patricia M Clark; Lawrence C An; David A Hanauer
Journal:  Curr Oncol Rep       Date:  2012-12       Impact factor: 5.075

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