Literature DB >> 20841655

Measuring use of electronic health record functionality using system audit information.

Watson A Bowes1.   

Abstract

Meaningful and efficient methods for measuring Electronic Health Record (EHR) adoption and functional usage patterns have recently become important for hospitals, clinics, and health care networks in the United State due to recent government initiatives to increase EHR use. To date, surveys have been the method of choice to measure EHR adoption. This paper describes another method for measuring EHR adoption which capitalizes on audit logs, which are often common components of modern EHRs. An Audit Data Mart is described which identified EHR functionality within 836 Departments, within 22 Hospitals and 170 clinics at Intermountain Healthcare, a large integrated delivery system. The Audit Data Mart successfully identified important and differing EHR functional usage patterns. These patterns were useful in strategic planning, tracking EHR implementations, and will likely be utilized to assist in documentation of "Meaningful Use" of EHR functionality.

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Year:  2010        PMID: 20841655

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  8 in total

1.  Progress and challenge in meeting meaningful use at an integrated delivery network.

Authors:  Watson A Bowes
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Assessing readiness for meeting meaningful use: identifying electronic health record functionality and measuring levels of adoption.

Authors:  Watson A Bowes
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

Review 3.  Measuring Electronic Health Record Use in Primary Care: A Scoping Review.

Authors:  Michael Z Huang; Candace J Gibson; Amanda L Terry
Journal:  Appl Clin Inform       Date:  2018-01-10       Impact factor: 2.342

4.  Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods.

Authors:  Adam Rule; Michael F Chiang; Michelle R Hribar
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

5.  Characterizing Multitasking and Workflow Fragmentation in Electronic Health Records among Emergency Department Clinicians: Using Time-Motion Data to Understand Documentation Burden.

Authors:  Amanda J Moy; Lucy Aaron; Kenrick D Cato; Jessica M Schwartz; Jonathan Elias; Richard Trepp; Sarah Collins Rossetti
Journal:  Appl Clin Inform       Date:  2021-10-27       Impact factor: 2.762

6.  The electronic health record audit file: the patient is waiting.

Authors:  Annemarie G Hirsch; J B Jones; Virginia R Lerch; Xiaoqin Tang; Andrea Berger; Deserae N Clark; Walter F Stewart
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

7.  Use of Electronic Health Record Access and Audit Logs to Identify Physician Actions Following Noninterruptive Alert Opening: Descriptive Study.

Authors:  Azraa Amroze; Terry S Field; Hassan Fouayzi; Devi Sundaresan; Laura Burns; Lawrence Garber; Rajani S Sadasivam; Kathleen M Mazor; Jerry H Gurwitz; Sarah L Cutrona
Journal:  JMIR Med Inform       Date:  2019-02-07

8.  Evaluating the Impact of a Point-of-Care Cardiometabolic Clinical Decision Support Tool on Clinical Efficiency Using Electronic Health Record Audit Log Data: Algorithm Development and Validation.

Authors:  Xiaowei Yan; Hannah Husby; Satish Mudiganti; Madina Gbotoe; Jake Delatorre-Reimer; Kevin Knobel; Andrew Hudnut; J B Jones
Journal:  JMIR Med Inform       Date:  2022-09-06
  8 in total

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