Leveraging artificial intelligence for collaborative care planning: Innovations and impacts in shared decision-making...

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare
• Patient-Centered Care

Background:

• Advance care planning (ACP) facilitates goal setting and treatment preferences for patients with chronic or terminal illnesses.
• Artificial intelligence (AI) is emerging as a tool in shared decision-making (SDM), offering data-driven recommendations.

Purpose of the Study:

• To explore the role of AI in enhancing SDM within healthcare.
• To identify AI's potential benefits, including improved treatment precision and patient engagement.
• To examine AI's capacity to reduce healthcare provider workload.

Main Methods:

• A systematic review was conducted following the Preferred Reporting Items for a Systematic Review and Meta-Analysis (PRISMA) 2020 guidelines.
• The Rayyan online tool was used for study screening and selection.

Main Results:

• Transparency and clinician involvement are crucial for AI to act as a supportive tool in patient care.
• A collaborative approach between AI and healthcare professionals is essential for effective decision-making.
• The human element in decision-making must be prioritized.

Conclusions:

• AI shows significant promise for transforming SDM in healthcare.
• Addressing implementation challenges is vital for the ethical and patient-centered use of AI.
• Continued research is necessary to optimize AI's role in healthcare settings.