Journal article
Usability Evaluation and Implementation of a Health Information Technology Dashboard of Evidence-Based Quality Indicators
Computers, informatics, nursing, Vol.35(6), pp.281-288
06/2017
DOI: 10.1097/CIN.0000000000000325
PMID: 28005564
Abstract
Health information technology dashboards that integrate evidence-based quality indicators can efficiently and accurately display patient risk information to promote early intervention and improve overall quality of patient care. We describe the process of developing, evaluating, and implementing a dashboard designed to promote quality care through display of evidence-based quality indicators within an electronic health record. Clinician feedback was sought throughout the process. Usability evaluations were provided by three nurse pairs and one physician from medical-surgical areas. Task completion times, error rates, and ratings of system usability were collected to compare the use of quality indicators displayed on the dashboard to the indicators displayed in a conventional electronic health record across eight experimental scenarios. Participants rated the dashboard as "highly usable" following System Usability Scale (mean, 87.5 [SD, 9.6]) and Poststudy System Usability Questionnaire (mean, 1.7 [SD, 0.5]) criteria. Use of the dashboard led to reduced task completion times and error rates in comparison to the conventional electronic health record for quality indicator-related tasks. Clinician responses to the dashboard display capabilities were positive, and a multifaceted implementation plan has been used. Results suggest application of the dashboard in the care environment may lead to improved patient care.
Details
- Title: Subtitle
- Usability Evaluation and Implementation of a Health Information Technology Dashboard of Evidence-Based Quality Indicators
- Creators
- Mark Christopher Schall Jr - Auburn UniversityLaura Cullen - University of Iowa Hospitals and ClinicsPriyadarshini Pennathur - University of IowaHoward Chen - University of Iowa Hospitals and ClinicsKeith BurrellGrace Matthews
- Resource Type
- Journal article
- Publication Details
- Computers, informatics, nursing, Vol.35(6), pp.281-288
- DOI
- 10.1097/CIN.0000000000000325
- PMID
- 28005564
- ISSN
- 1538-2931
- eISSN
- 1538-9774
- Grant note
- T42 OH008436 / NIOSH CDC HHS
- Language
- English
- Date published
- 06/2017
- Academic Unit
- Industrial and Systems Engineering; Nursing; Internal Medicine
- Record Identifier
- 9984186959602771
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