Task-specific usability requirements of electronic medical records systems: Lessons learned from a national survey of end-users

(2018) Task-specific usability requirements of electronic medical records systems: Lessons learned from a national survey of end-users. Informatics for health & social care. pp. 280-299. ISSN 1753-8165 (Electronic) 1753-8157 (Linking)

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Abstract

BACKGROUND: There are various approaches to evaluating the usability of electronic medical record (EMR) systems. User perspectives are an integral part of evaluation. Usability evaluations efficiently and effectively contribute to user-centered design and supports tasks and increase user satisfaction. This study determined the main usability requirements for EMRs by means of an end-user survey. METHOD: A mixed-method strategy was conducted in three phases. A qualitative approach was employed to collect and formulate EMR usability requirements using the focus group method and the modified Delphi technique. Classic Delphi technique was used to evaluate the proposed requirements among 380 end-users in Iran. RESULTS: The final list of EMR usability requirements was verified and included 163 requirements divided into nine groups. The highest rates of end-user agreement relate to EMR visual clarity (3.65 +/- 0.61), fault tolerance (3.58 +/- 0.56), and suitability for learning (3.55 +/- 0.54). The lowest end-user agreement was for auditory presentation (3.18 +/- 0.69). CONCLUSION: The highest and lowest agreement among end-users was for visual clarity and auditory presentation by EMRs, respectively. This suggests that user priorities in determination of EMR usability and their understanding of the importance of the types of individual tasks and context characteristics differ.

Item Type: Article
Keywords: Computer systems Delphi technique electronic health records personal satisfaction
Subjects: Hospitals and Other Health Facilities > WX 140-147 Facility Design and Construction. Equipment
Divisions: Other
Page Range: pp. 280-299
Journal or Publication Title: Informatics for health & social care
Journal Index: Pubmed, ISI
Volume: 43
Number: 3
Identification Number: https://doi.org/10.1080/17538157.2017.1290639
ISSN: 1753-8165 (Electronic) 1753-8157 (Linking)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.mui.ac.ir/id/eprint/1618

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