Patient- and Caregiver-Informed Considerations for the Design and Implementation of Generative AI–Supported Patient-Centered Clinical Decision Support: Qualitative Study - Report - MDSpire
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Patient- and Caregiver-Informed Considerations for the Design and Implementation of Generative AI–Supported Patient-Centered Clinical Decision Support: Qualitative Study
Clinical Report: Incorporating Insights from Patients and Caregivers in PC CDS
Background
The rapid evolution of artificial intelligence (AI) in health care presents opportunities to improve patient outcomes and clinician workflows. Patient-centered clinical decision support (PC CDS) aims to empower patients and caregivers by integrating their preferences and values into health care decision-making. Understanding patient and caregiver perspectives is crucial for the successful implementation of generative AI in these tools.
Data Highlights
No numerical data was provided in the source material.
Key Findings
Generative AI can enhance clinical decision-making by streamlining processes and improving outcomes.
Patient-centered considerations in CDS include knowledge, data, delivery, and use of patient-specific information.
There is a gap in the literature regarding patient perspectives on AI-supported tools for health care decision-making.
Previous studies have inadequately incorporated patient insights into AI design and deployment guidance.
Qualitative research is needed to gather patient and caregiver perspectives on generative AI in PC CDS.
Clinical Implications
Incorporating patient and caregiver insights into the design and implementation of generative AI tools can enhance trust and usability. This approach may lead to more effective patient-centered care and improved health outcomes.
Conclusion
Addressing the gaps in understanding patient and caregiver perspectives is essential for the effective integration of generative AI in clinical decision support systems.
