Leveraging Artificial Intelligence for Expediting Implementation Efforts.
Expedited implementation of evidence into practice and policymaking is critical to ensure the delivery of effective care and improve health-care outcomes. Implementation science deals with the designing of methods and strategies for increasing and facilitating the uptake of evidence into practice an...
| Publicado en: | Creative Nursing Vol. 30; no. 2; pp. 111 - 118 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Sage Publications Inc.
May2024
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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=177167504&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177167504 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10784535 CVN jtl: Creative Nursing issn: 10784535 maglogo: N pubinfo: dt: May2024 vid: 30 iid: 2 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 177167504 179300203 10.1177/10784535241239059 177167504 ppf: 111 ppct: 7 formats: tig: atl: Leveraging Artificial Intelligence for Expediting Implementation Efforts. aug: au: Younas, Ahtisham Reynolds, Staci S affil: Memorial University of Newfoundland, Canada sug: subj: Artificial Intelligence Implementation Science Health Care Delivery Program Implementation Strategic Planning Program Evaluation Nursing Practice, Evidence-Based Practice Guidelines Intensive Care Units Administration Data Management ab: Expedited implementation of evidence into practice and policymaking is critical to ensure the delivery of effective care and improve health-care outcomes. Implementation science deals with the designing of methods and strategies for increasing and facilitating the uptake of evidence into practice and policymaking. Nevertheless, the process of designing and selecting methods and strategies for implementing evidence is complicated because of the complexity of health-care settings where implementation is desired. Artificial intelligence (AI) has revolutionized a range of fields, including genomics, education, drug trials, research, and health care. This commentary discusses how AI can be leveraged to expedite implementation science efforts for transforming health-care practice. Four key aspects of AI use in implementation science are highlighted: (a) AI for implementation planning (e.g., needs assessment, predictive analytics, and data management), (b) AI for developing implementation tools and guidelines, (c) AI for designing and applying implementation strategies, and (d) AI for monitoring and evaluating implementation outcomes. Use of AI along the implementation continuum from planning to delivery and evaluation can enable more precise and accurate implementation of evidence into practice. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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