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Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program.

Petra Svedberg¹, Julie Reed¹, Per Nilsen^1,2

¹School of Health and Welfare, Halmstad University, Halmstad, Sweden.

JMIR Research Protocols

|March 9, 2022

Summary

This research program aims to develop a framework for implementing artificial intelligence (AI) in healthcare. It will guide the translation of AI potential into practice through co-designed studies and theoretical development.

Keywords:

capacity building complex intervention framework analysis health policy implementation knowledge exchange organizational change process evaluation qualitative methods

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Area of Science:

Health Informatics
Artificial Intelligence in Healthcare
Implementation Science

Background:

Artificial intelligence (AI) adoption in healthcare is nascent, lacking specific implementation guidance.
Existing research highlights a gap between AI's potential and its integration into routine clinical practice.
This program addresses the knowledge-practice gap through stakeholder collaboration and co-design.

Purpose of the Study:

Develop a theoretically informed framework for AI implementation in health care.
Conduct empirical studies to refine the AI implementation framework.
Generate practical insights for successful AI integration into routine health care.

Main Methods:

Utilize a logic model to structure framework development and evaluation.
Employ theory-driven and co-produced methods for framework creation.
Integrate literature reviews, co-design workshops, and empirical investigations with diverse stakeholders.

Main Results:

Stage 1 activities (model overview, literature reviews, stakeholder mapping) commenced July 1, 2021.
Stage 1 and Stage 2 activities are scheduled to conclude by June 30, 2026.
The program is progressing through defined stages of framework development and empirical investigation.

Conclusions:

There is a critical need for advancing theory and evidence on AI implementation in health care.
This research program integrates theoretical and empirical approaches to enhance AI adoption.
The goal is to increase the likelihood of successful and widespread AI application in clinical settings.