Global Health Technology and Innovation
Latest News

5 Takeaways from the UN Environmental Programme Report on Antimicrobial Resistance
Anthony So, one of the five lead authors of the new UN Environmental Programme Report on Antimicrobial Resistance, provides his five key takeaways.

Researchers Validate and Improve the Ability of Mobile Health Applications to Predict Mortality in the U.S. Population
Findings show that an improved C-Score can identify 87% of individuals living in the U.S. who will experience premature death.

WTO TRIPS Waiver for COVID-19 Vaccines
Understanding the 鈥淭RIPS waiver鈥 of intellectual property protections related to COVID vaccines.
Global Health Technology and Innovation in the Health Systems Program
Our work in technology and innovation emphasizes the development and implementation of new AI and digital technologies for greater health care access and impact, as well as ensuring that appropriate policies are in place to govern such technologies.
Our faculty work to ensure equitable access to innovative health technologies, including supporting governments in their journeys to digital transformation in health care, effective antibiotics and medicines, strengthening digital systems to improve vaccine coverage, clinical decision support tools to improve quality of care, and real-time surveillance of chronic and infectious diseases. The Program uses digital technologies to strengthen surveillance of noncommunicable disease risk factors and COVID-19 in low- and middle-income country settings.
Meet some of our global health technology and innovation faculty

Dustin Gibson, PhD 鈥14, MS, develops and evaluates digital tools and technologies to address health system gaps in low- and middle-income countries

Anthony D. So, MD, MPA, works on research and policy to improve innovation and access to health technologies with a particular focus on antimicrobial resistance.

Smisha Agarwal, PhD, MPH 鈥09, MBA, studies how to improve maternal and newborn health in low-income settings by strengthening health systems and using technological solutions.

Qingfeng Li, PhD 鈥13, MHS, studies machine learning models to support the use of big data and improve road safety in low- and middle-income countries.
Examples of Latest Projects
Digital Health Exemplars: Digital Health Exemplars examines the necessary implementation and contextual factors that must be addressed across a range of health systems settings in order to achieve effective and scalable digitization of primary health care. The goal is to showcase core policy and implementation lessons on digital transformation that can effect change within countries in the study as well as health systems in comparable settings outside the study.
Innovation+Design Enabling Access (IDEA) Initiative: The IDEA Initiative seeks to reengineer how innovation and design of technologies better meet the health of those in need. From antimicrobial resistance to COVID-19, the Initiative works to support an end-to-end approach and shape an enabling environment, innovative financing, and product development partnership responsive to these needs.
AI-supported Data Collection in Road Safety: This project leverages emerging technologies, including machine learning and artificial intelligence, to enable low-cost, scalable data collection on key risk factors in global road safety.
Data for Health Initiative: The Data4Health Initiative supports national implementation of mobile phone surveys to collect noncommunicable disease risk factor information through the research and development of survey methodologies, costing analyses, and exploration of key ethical, legal, and societal issues.
Latest Publications and Reports
Journal of Medical Internet Research | October 2024
Oxford Open DIgital Health | August 2024
Cochrane Database of Systematic Reviews | August 2024
Preventive Medicine Reports | January 2024
Global Health Action | January 2024