Literature DB >> 25954439

Developing Analytical Inspection Criteria for Health IT Personnel with Minimum Training in Cognitive Ergonomics: A Practical Solution to EHR Improving EHR Usability.

Zhen Zhang1, Amy Franklin1, Muhammad Walji1, Jiajie Zhang1, Yang Gong1.   

Abstract

EHR usability has been identified as a major barrier to care quality optimization. One major challenge of improving EHR usability is the lack of systematic training in usability or cognitive ergonomics for EHR designers/developers in the vendor community and EHR analysts making significant configurations in healthcare organizations. A practical solution is to provide usability inspection tools that can be easily operationalized by EHR analysts. This project is aimed at developing a set of usability tools with demonstrated validity and reliability. We present a preliminary study of a metric for cognitive transparency and an exploratory experiment testing its validity in predicting the effectiveness of action-effect mapping. Despite the pilot nature of both, we found high sensitivity and specificity of the metric and higher response accuracy within a shorter time for users to determine action-effect mappings in transparent user interface controls. We plan to expand the sample size in our empirical study.

Mesh:

Year:  2014        PMID: 25954439      PMCID: PMC4419876     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  2 in total

1.  TURF: toward a unified framework of EHR usability.

Authors:  Jiajie Zhang; Muhammad F Walji
Journal:  J Biomed Inform       Date:  2011-08-16       Impact factor: 6.317

2.  Enhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA.

Authors:  Blackford Middleton; Meryl Bloomrosen; Mark A Dente; Bill Hashmat; Ross Koppel; J Marc Overhage; Thomas H Payne; S Trent Rosenbloom; Charlotte Weaver; Jiajie Zhang
Journal:  J Am Med Inform Assoc       Date:  2013-01-25       Impact factor: 4.497

  2 in total

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