Leveraging Artificial Intelligence to Improve Perioperative Staffing Consistency: A Quality Improvement Initiative at a Large Academic Medical Center.
A large academic medical center in the Pacific Northwest addressed perioperative staffing challenges by implementing a workflow with application of AI assistance to optimize daily assignments. The initiative integrated real‐time and historical data to support consistent matching of staff competencie...
| Publicado en: | AORN Journal Vol. 124; no. 3; pp. 160 - 171 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Sep2026
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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=196481621&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 196481621 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00012092 1FR jtl: AORN Journal issn: 00012092 maglogo: N pubinfo: dt: Sep2026 vid: 124 iid: 3 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 196481621 196481621 196481621 10.1002/aorn.70139 196481621 ppf: 160 ppct: 11 formats: tig: atl: Leveraging Artificial Intelligence to Improve Perioperative Staffing Consistency: A Quality Improvement Initiative at a Large Academic Medical Center. aug: au: Sumagaysay, Dio Tomlinson, Taryn Cassidy, Hugh Miller, Allyn sug: subj: Artificial Intelligence Utilization Personnel Staffing and Scheduling Perioperative Nurses Academic Medical Centers Northwestern United States Workflow Human Northwestern United States Female Male Quality Improvement Retrospective Design Descriptive Research Workforce Automation Prediction Models Professional Competence Job Satisfaction Surgeons Confidence Clinical Governance Change Management Adaptation, Occupational Thematic Analysis Female Male ab: A large academic medical center in the Pacific Northwest addressed perioperative staffing challenges by implementing a workflow with application of AI assistance to optimize daily assignments. The initiative integrated real‐time and historical data to support consistent matching of staff competencies and procedure experience with scheduled procedures and surgeons. The workflow streamlined processes and saved service line coordinators 20 hours per week and nurse leaders 5 hours per week. Surgical staffing consistency improved by 30 percentage points, from 50% to 80%, and staff and surgeon sentiment improved. By enhancing visibility into documented competencies and procedure history and reducing reliance on manual assignments, the initiative improved the reliability and efficiency of daily staffing decisions while reinforcing safe alignment of skills with procedure complexity. Implementation success was supported by multidisciplinary collaboration and iterative workflow refinement. This article outlines the implementation approach, observed outcomes, and key operational considerations for health systems pursuing similar innovations. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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