Citations 1
Public health AI’s precision strategy: Globally integrating, institutionalizing, and scaling science, economics, and ethics
Anavekar, Nandan, Omutoko, Lillian , Oduor, Patience, Kokonya, Donald , Rayel, John James, Sotomayor, Claudia, Sinyavskiy, Oleg, Aksamit, Timothy, Marshall, Gary, Grindem, David, Jarsania, Dhairya, Mackay, K. , Garcia, Alberto, Gallagher, Colleen, Best, Ryan, Petralanda, Maria Isabel Iñigo, Immanuel, Gifty, Halm, Josiah, Iliescu, Cezar, Monlezun, Dominique , Anavekar, Nandan S., Oduor, Patience , Rayel, John, Sotomayor, Claudia , Aksamit, Timothy R. , Grindem, David , Jarsania, Dhairya , MacKay, Keir, Gallagher, Colleen M. , Dugani, Sagar B. , Best, Ryan, Gunasekeran, Dinesh Visva , Wong, Tien Yin , Halm, Josiah K. , Iliescu, Cezar
No container title available | August 10, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available
Abstract Artificial intelligence is spreading through public health agencies and healthcare systems faster than workforces are trained to govern it. We describe RHAMI (Responsible Health AI Readiness and Maturity Index), the first human-centered automated composite index for health organizations to score AI readiness and maturity as one measurable system of science, economics and ethics, and the physician certification-to-Master’s pathway built to teach what it measures—both designed jointly by frontline public health professionals, clinicians, ethicists, engineers, leaders, and policy-makers in low- and middle-income countries and high-income countries.