Framework for artificial intelligence implementation research in healthcare: synthesizing current evidence on barriers and facilitators.
| Publicado en: | NPJ Digital Medicine Vol. 9; no. 1; pp. 1 - 16 |
|---|---|
| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
5/8/2026
|
| 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=195342803&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195342803 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23986352 LQV4 jtl: NPJ Digital Medicine issn: 23986352 maglogo: N pubinfo: dt: 5/8/2026 vid: 9 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 195342803 195342803 195342803 10.1038/s41746-026-02705-3 195342803 ppf: 1 ppct: 15 formats: tig: atl: Framework for artificial intelligence implementation research in healthcare: synthesizing current evidence on barriers and facilitators. aug: au: Powis, Melanie Ladak, Aly M. Lakey, Ashanté Grant, Robert C. Krzyzanowska, Monika K. Peterson, Emily Juliao, Kyle affil: https://ror.org/042xt5161 Cancer Quality Lab (CQuaL)- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada sug: subj: Artificial Intelligence Standards Implementation Science Health Care Delivery Health Services Accessibility Health Services Research Trends Human Funding Source Conceptual Framework Pilot Studies Sensitivity and Specificity Diffusion of Innovation Systems Integration Organizational Change Economics Machine Learning Algorithms Deep Learning Patient Safety Standards Usability Study Quality Assurance Descriptive Statistics Comparative Studies Snowball Sample pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|