Development and initial implementation of electronic clinical decision supports for recognition and management of hospital-acquired acute kidney injury

Simple item page
dc.contributor.authorHowarth, Megan
dc.contributor.authorBhatt, Meha
dc.contributor.authorBenterud, Eleanor
dc.contributor.authorWolska, Anna
dc.contributor.authorMinty, Evan
dc.contributor.authorChoi, Kyoo-Yoon
dc.contributor.authorDevrome, Andrea
dc.contributor.authorHarrison, Tyrone G
dc.contributor.authorBaylis, Barry
dc.contributor.authorDixon, Elijah
dc.contributor.authorDatta, Indraneel
dc.contributor.authorPannu, Neesh
dc.contributor.authorJames, Matthew T
dc.date.accessioned2020-11-08T01:09:17Z
dc.date.available2020-11-08T01:09:17Z
dc.date.issued2020-11-04
dc.date.updated2020-11-08T01:09:17Z
dc.description.abstractAbstract Background Acute kidney injury (AKI) is common in hospitalized patients and is associated with poor patient outcomes and high costs of care. The implementation of clinical decision support tools within electronic medical record (EMR) could improve AKI care and outcomes. While clinical decision support tools have the potential to enhance recognition and management of AKI, there is limited description in the literature of how these tools were developed and whether they meet end-user expectations. Methods We developed and evaluated the content, acceptability, and usability of electronic clinical decision support tools for AKI care. Multi-component tools were developed within a hospital EMR (Sunrise Clinical Manager™, Allscripts Healthcare Solutions Inc.) currently deployed in Calgary, Alberta, and included: AKI stage alerts, AKI adverse medication warnings, AKI clinical summary dashboard, and an AKI order set. The clinical decision support was developed for use by multiple healthcare providers at the time and point of care on general medical and surgical units. Functional and usability testing for the alerts and clinical summary dashboard was conducted via in-person evaluation sessions, interviews, and surveys of care providers. Formal user acceptance testing with clinical end-users, including physicians and nursing staff, was conducted to evaluate the AKI order set. Results Considerations for appropriate deployment of both non-disruptive and interruptive functions was important to gain acceptability by clinicians. Functional testing and usability surveys for the alerts and clinical summary dashboard indicated that the tools were operating as desired and 74% (17/23) of surveyed healthcare providers reported that these tools were easy to use and could be learned quickly. Over three-quarters of providers (18/23) reported that they would utilize the tools in their practice. Three-quarters of the participants (13/17) in user acceptance testing agreed that recommendations within the order set were useful. Overall, 88% (15/17) believed that the order set would improve the care and management of AKI patients. Conclusions Development and testing of EMR-based decision support tools for AKI with clinicians led to high acceptance by clinical end-users. Subsequent implementation within clinical environments will require end-user education and engagement in system-level initiatives to use the tools to improve care.
dc.identifier.citationBMC Medical Informatics and Decision Making. 2020 Nov 04;20(1):287
dc.identifier.doihttps://doi.org/10.1186/s12911-020-01303-x
dc.identifier.urihttp://hdl.handle.net/1880/112726
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dc.titleDevelopment and initial implementation of electronic clinical decision supports for recognition and management of hospital-acquired acute kidney injury
dc.typeJournal Article
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
12911_2020_Article_1303.pdf
Size:
4.01 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
0 B
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Open Access Publications