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Leadership for AI Transformation in Health Care Organization: Scoping Review
Abi Sriharan1,2, Nigar Sekercioglu2, Cheryl Mitchell3
1Krembil Centre for Health Management and Leadership, Schulich School of Business, York University, Toronto, ON, Canada.
Journal of Medical Internet Research
|July 15, 2024
Summary
Effective artificial intelligence (AI) integration in healthcare demands multifaceted leadership. Leaders require technical, strategic, and operational expertise to guide AI transformation and enhance patient care.
Area of Science:
- Healthcare Management
- Health Informatics
- Artificial Intelligence in Medicine
Background:
- Healthcare organizations face increasing costs and service demands.
- Artificial intelligence (AI) adoption is rising to improve patient care, operations, and safety.
- Leadership is crucial for navigating AI transformation in healthcare.
Purpose of the Study:
- To synthesize current literature on leadership's role in AI transformation within healthcare.
- To identify key leadership competencies for successful AI integration.
Main Methods:
- Comprehensive literature search from 2015-2023 across multiple databases.
- Focus on empirical studies emphasizing leadership in healthcare AI transformation.
- Inductive thematic analysis following PRISMA-ScR guidelines.
Main Results:
- 22 articles were included after reviewing 2813 abstracts.
- Successful AI integration requires leadership engagement across technological, strategic, operational, and organizational domains.
- Leaders need technical expertise, adaptive strategies, and interpersonal skills.
Conclusions:
- Leading AI transformation necessitates a multidimensional leadership approach.
- Develop leadership through targeted training and cross-functional collaboration.
- Prioritize AI talent with technical skills, adaptability, and interpersonal acumen.
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