Qualitative Assessment of Implementation of a Discharge Prediction Tool Using RE-AIM Framework...33rd Medical Informatics Europe Conference (MIE2023), May 22-25, 2023, Gothenburg, Sweden.
The implementation process in the routine clinical care of a new predictive tool based on machine learning algorithms has been investigated using the RE-AIM framework. Semi-structured qualitative interviews have been conducted with a broad range of clinicians to elucidate potential barriers and faci...
| Publicado en: | Studies in Health Technology & Informatics Vol. 302; pp. 596 - 601 |
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| Autores principales: | , , , , |
| Formato: | proceedings research Journal Article |
| Publicado: |
Sage Publications Inc.
2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=163842236&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163842236 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2023 vid: 302 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 163842236 163842236 163842236 10.3233/SHTI230212 163842236 ppf: 596 ppct: 5 formats: tig: atl: Qualitative Assessment of Implementation of a Discharge Prediction Tool Using RE-AIM Framework...33rd Medical Informatics Europe Conference (MIE2023), May 22-25, 2023, Gothenburg, Sweden. aug: au: FINKELSTEIN, Joseph PARVANOVA, Irena Zhaopeng XING Tuyet-Trinh TRUONG DUNN, Andrew affil: Icahn School of Medicine at Mount Sinai, New York, NY, USA sug: subj: Needs Assessment Program Implementation Patient Discharge Prediction Models Implementation Science Machine Learning Decision Support Systems, Clinical Human Congresses and Conferences Purposive Sample Methods Electronic Health Records Artificial Intelligence Verbal Behavior Evaluation Health Facility Administrators Thematic Analysis Conceptual Framework Sweden ab: The implementation process in the routine clinical care of a new predictive tool based on machine learning algorithms has been investigated using the RE-AIM framework. Semi-structured qualitative interviews have been conducted with a broad range of clinicians to elucidate potential barriers and facilitators of the implementation process across five major domains: Reach, Efficacy, Adoption, Implementation, and Maintenance. The analysis of 23 clinician interviews demonstrated a limited reach and adoption of the new tool and identified areas for improvement in implementation and maintenance. Future implementation efforts of machine learning tools should support the proactive engagement of a wide range of clinical users since the very initiation of the predictive analytics project, provide higher transparency of the underlying algorithms, employ broader onboarding of all potential users on a periodic basis, and collect feedback from clinicians on an ongoing basis. pubtype: Academic Journal doctype: proceedings research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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