Jhpiego

Darlene Irby

Director of Digital Health

Darlene Irby is a global digital health expert and currently serves as the Director of Digital Health and Interim Senior Director of Data Science, Learning and Impact at Jhpiego. Darlene has over 15 years of experience in implementing health information systems for domestic and international organizations, with deep expertise in the creation, design and implementation of international and national health information technology. She has effectively deployed digital and mobile systems throughout Africa and the Caribbean and has facilitated the establishment of health information programs to include the effective design of scalable and interoperable technologies. Working across donors such as USAID, CDC, BMGF, and private organizations such as Pfizer and Merck, she has led HIS prime projects as principal investigator across many countries such as Indonesia, Mozambique, Cambodia, Kenya, Tanzania, Nigeria, South Africa, Zambia, Haiti, and Uganda. She has directed software development and programming teams in the creation of EMRs, referral systems, project management systems, mobile data collection, point of service care and basic diagnostic tools. Prior to joining Jhpiego, she was Senior Director of Programs ( MEL, Innovation, Technology and Global Health) at the QED Group; and worked for over 12 years at Palladium where she led Health Informatics as Senior Director of Informatics and ICT. Prior to her career in International Development , Darlene worked for over 10 years in academia as Senior Director at major medical academic centers of medicine and research such at Georgetown, George Washington and the University of Maryland. She has authored and co-authored a number of abstracts and presentations. She holds a Bachelor’s degree with a double major in Economics and International Studies from Elmira College in New York and a Master’s degree in Economic and Social Development from the University of Pittsburgh.

Speaking at:
Day 2
April 28, 2021 13:00
SpotLight Stage 2
Designing AI Use Cases for Data Quality Using Advanced Algorithms

The speakers will share how Jhpiego has utilized dedupe Python algorithms and CSVDedupe to cluster and identify potential participant duplicates.