Data-driven tools can help correctional health systems improve patient safety, allocate resources more effectively, and support quality improvement efforts. This session explores high-impact applications related to suicide prevention, withdrawal management, chronic disease monitoring, and population health while emphasizing ethical safeguards, transparency, clinician oversight, and alignment with constitutional and NCCHC Standards.

Educational Objectives

• Examine clinical applications of artificial intelligence and predictive analytics in correctional health care
• Assess risks associated with artificial intelligence implementation
• Apply legal and quality improvement principles to responsible artificial intelligence use

Level: Intermediate