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Creating a Practical Transformational Change Management Model for Novel Artificial Intelligence-Enabled Technology

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Summary
This summary is machine-generated.

This study identified change management (CM) strategies for implementing novel technologies in operating rooms. A new CM model was created to guide future technology adoption and trials in healthcare settings.

Keywords:
AI, artificial intelligenceCM, change managementFAQ, frequently asked questionsIRB, Institutional Review BoardIT, information technologyOR, operating roomPM, project manager

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Area of Science:

  • Healthcare Technology Implementation
  • Surgical Innovation
  • Artificial Intelligence in Medicine

Background:

  • Operating rooms (ORs) are increasingly adopting novel technologies, including artificial intelligence (AI).
  • Effective change management (CM) is crucial for successful technology integration in complex healthcare environments.
  • Existing CM models may not fully address the unique challenges of OR technology implementation.

Purpose of the Study:

  • To identify effective change management (CM) strategies for implementing novel technologies like AI in operating rooms.
  • To develop a new, adaptable CM model for future technology trials and applications in surgical settings.

Main Methods:

  • Defined key phases of technology implementation: team assembly, committee approvals, CM, and system installation/go-live.
  • Developed transformational CM strategies based on institutional experience (Oct 2020-Oct 2021).
  • Appraised existing CM models and proposed a newly created model.

Main Results:

  • Key implementation phases identified: team assembly, approvals, CM, and go-live.
  • Essential CM strategies include assembling expert teams, anticipating hurdles, agile planning, cultural accommodation, stakeholder engagement, and consistent communication.
  • These strategies informed the creation of a novel CM model.

Conclusions:

  • A new CM model and key strategies were developed for OR novel technology implementation.
  • The model is adaptable for customization based on specific institutional and project needs.
  • This framework supports successful integration of advanced technologies in surgical environments.