

Healthcare Innovations Can’t Be Borrowed, They Need to Be Built
Thursday, March 12, 2026 10:00 AM to 10:30 AM · 30 min. (US/Pacific)
Level 3 | San Polo 3501A
General Education
Health Equity
Information
In a world where artificial intelligence (AI) is revolutionizing healthcare, one truth remains uncomfortable but undeniable: solutions developed in high-income countries often fail in low- and middle-income contexts. Whether it’s misaligned clinical pathways, irrelevant genomic insights, or tools built on data that simply does not reflect our populations, the Global South cannot afford to retrofit global healthcare innovation. We must lead it. The speaker will share why her team is making a bold bet on data—locally sourced, context-rich, real-time data—and the promise to transform healthcare across East Africa.
Format
Case Study
Level
Introductory
Topic
Health Disparities and Inequalities
Target Audience
Chief Data OfficerChief Digital Officer/Chief Digital Health OfficerCMIO/CMO
Contact Hours
0.50
CEU Type
ACPECAHIMSCMECNECPDHTSCPHIMS
Learning Objective #1
Describe the challenges faced by Aga Khan University in improving healthcare in East Africa and why locally developed solutions are necessary to address those obstacles
Learning Objective #2
Identify three improvements that Aga Khan University’s electronic healthcare record (EHR) repository has made in its ability to deliver proactive preventative healthcare to patients and address medical issues in the populations that it serves
Learning Objective #3
Appraise Aga Khan University’s progress in realizing its vision for leveraging EHR data to move from reactive to proactive healthcare, including the use of machine learning and large language models to improve health outcomes
Session #
182
