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

Tianqi G Smith¹, Hamid Norasi^1,2, Kelly M Herbst¹

¹Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.

Mayo Clinic Proceedings. Innovations, Quality & Outcomes

|November 3, 2022

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 intelligence CM, change management FAQ, frequently asked questions IRB, Institutional Review Board IT, information technology OR, operating room PM, 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.