TLDR:
- Dr. Michael Dulin, an expert in population health, explains how AI can help curate complex data and predict changes in population health needs.
- AI is increasingly being used to evaluate disease burden, risk, and assist with development of population health interventions.
The article discusses Dr. Michael Dulin’s expertise in population health and his use of artificial intelligence (AI) to improve care. Dr. Dulin, the director of the Academy for Population Health Innovation at the University of North Carolina at Charlotte, highlights the importance of AI in curating complex data and predicting changes in population health needs over time. AI is being used to evaluate disease burden and risk for population health planning, and to assist in the development and deployment of population health interventions, such as tailored messaging. Additionally, AI is being explored as a tool to improve patient engagement and self-efficacy.
The article emphasizes the role of AI in advancing the integration and curation of complex data required for population health initiatives. It also touches on the use of AI by CIOs, other health IT leaders, and clinicians to predict changes in population health needs over time. The potential of patient-facing AI is highlighted, along with its ability to improve self-efficacy engagement of patients.
Overall, the article underscores the growing importance of AI in population health, emphasizing its potential to enhance healthcare delivery, improve patient outcomes, and drive innovation in the field of healthcare IT.