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Creating a Practical Transformational Change Management Model for Novel Artificial Intelligence-Enabled Technology Implementation in the Operating Room.
Smith, Tianqi G; Norasi, Hamid; Herbst, Kelly M; Kendrick, Michael L; Curry, Timothy B; Grantcharov, Teodor P; Palter, Vanessa N; Hallbeck, M Susan; Cleary, Sean P.
Affiliation
  • Smith TG; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Norasi H; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Herbst KM; Health Care Delivery Research, Mayo Clinic, Rochester, MN.
  • Kendrick ML; Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Curry TB; Department of Surgery, Mayo Clinic, Rochester, MN.
  • Grantcharov TP; Department of Anesthesiology, Mayo Clinic, Rochester, MN.
  • Palter VN; Department of Surgery, University of Toronto, Toronto, Canada.
  • Hallbeck MS; International Centre for Surgical Safety, Toronto, Canada.
  • Cleary SP; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Mayo Clin Proc Innov Qual Outcomes ; 6(6): 584-596, 2022 Dec.
Article in En | MEDLINE | ID: mdl-36324987
Objective: To identify change management (CM) strategies for implementing novel artificial intelligence and similar novel technologies in operating rooms and create a new CM model for future trials and applications inspired by the abovementioned strategies and established models. Methods: Key phases of technology implementation were defined, and strategies for transformational CM were created and applied in a recent CM experience at our institution between October 15, 2020 and October 15, 2021. We appraised existing CM models and propose the newly created model. Results: The key phases of the technology implementation were as follows: (1) team assembly; (2) committee approvals; (3) CM; and (4) system installation and go-live. Key strategies were (1) assemble team with necessary expertise; (2) anticipate potential institutional cultural and regulatory hurdles; (3) add agility to project planning and execution; (4) accommodate institutional culture and regulations; (5) early clinical partner buy-in and stakeholder engagement; and (6) consistent communication, all of which contributed to the new CM model creation. Conclusion: Key CM strategies and a new CM model addressing the unique needs and characteristics of operating room novel technology implementation were identified and created. The new model may be customized and tested for individual institution and project's needs and characteristics.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Mayo Clin Proc Innov Qual Outcomes Year: 2022 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Mayo Clin Proc Innov Qual Outcomes Year: 2022 Document type: Article Country of publication: