London School of Hygiene & Tropical Medicine

During this session we will explore the opportunities and risks that Artificial Intelligence (AI) presents to Primary Health Care. We will examine what AI is; explore what evidence exists of its application to Primary Health Care and consider what health systems need to do to maximise the opportunities that AI offers while mitigating its risks.

Learn more about, and watch back, previous sessions run by LSHTM’s primary health care group on our website. 

Panelists

Trishan Panch 

Dr Trishan Panch is the founder and Executive Director of the Harvard TH Chan School of Public Health’s ‘Specialisation in AI for Health Care’ - a certificate programme in AI for senior healthcare leaders.  

He is the CEO of LUNR Venture Studio, Past President of Harvard TH Chan School of Public Health Alumni Association and Board Chair at Healthcare for All. Previously, he co-founded Wellframe and co-led the company from inception in 2012 to acquisition. He is an active angel investor in the Harvard and MIT community and has been nominated to serve as the healthcare expert in residence at Harvard's iLab since 2019. He also serves on the Innovation Advisory Board of Boston Children's Hospital. He previously practiced medicine for 17 years and led a large risk bearing primary care group in London serving an urban population with high levels of economic deprivation. 

Alexander d'Elia

Dr Alexander d'Elia, PhD, recently completed a doctorate at the University of Liverpool, investigating how the introduction of AI in the NHS primary care system may impact health inequity, and how this impact is influenced by the organisational and regulatory context of health-care AI. He has several published works in the topic and is currently working with the University of Birmingham on assessing the usage of AI tools in clinical primary care. 

Originally from Sweden, Alexander is a practising GP specialty trainee in South Birmingham where he also lives with his wife and little daughter, and enjoys running, sailing and playing bike polo. 

Jessica Morley

Dr Jessica Morley is a postdoctoral research associate at the Digital Ethics Center, Yale University. She as a BA, MSc, and PhD from the University of Oxford and prior to working at Yale she was the director of policy research at the Oxford Bennett Institute for Applied Data Science.  

Her research focuses on how to ensure the secondary use of health data is technically feasible, socially acceptable, ethically justifiable, and legally compliant.

Stanford Healthcare AI Applied Research Team – HEA3RT

Amelia Sattler

Dr Amelia Sattler is a family physician and problem-solver. She graduated with a degree in psychology from the University of Puget Sound in Tacoma, Washington and ventured to the tundra of Rochester, Minnesota to pursue her MD at Mayo Medical School. She returned to California to train at Stanford's O'Connor Family Medicine Residency Program and after residency she joined Stanford Family Medicine, where she continues to see patients. Dr Sattler is the Associate Section Chief for Program Innovation in the Division of Primary Care and Population Health at Stanford. She is an Associate Medical Director of the Stanford Healthcare AI Applied Research Team ("HEART") and works with teams to study and implement AI technologies to solve specific, practical problems in healthcare. She is also the Primary Care Medical Director of Integrated Behavioural Health and is partnering with psychiatry, social work and primary care teams to build a collaborative care model at Stanford Primary Care.

Shreya Shah

Dr Shreya Shah, MD, FACP is a healthcare informatics physician leader, board certified in clinical informatics and internal medicine. She is a clinician, researcher, and educator with special interests in artificial intelligence, population health informatics, and heath IT usability. She is interested in the ways that primary care can be transformed using innovative health IT approaches, including emerging generative AI technologies and workflow optimization. As a Medical Informatics Director of Primary Care and Population Health for Stanford Medicine, she works to lead the design, implementation and optimization of health information technology in support of clinicians and patients at Stanford. She is an Associate Medical Director of the Stanford Healthcare AI Research Team, also known as the "HEA3RT" team, whose vision is to be a global leader in the practice, implementation, evaluation, and teaching of AI in health and health care.

Tim Tsai

Dr Tim Tsai is a board-certified family medicine physician, fellowship-trained clinical informaticist, and Clinical Assistant Professor in Stanford’s Department of Medicine. He is also an Associate Medical Director of the Stanford Healthcare AI Research Team, also known as the "HEA3RT" team. He focuses on improving clinician workflows and patient care through innovative informatics solutions that streamline documentation and enhance communication between providers and patients. Dr Tsai is involved in designing, implementing, and optimizing health information technologies to support clinicians and patients.

Co-Chairs

• Luisa Pettigrew, LSHTM
• Luke Allen, LSHTM and University of Oxford

Event notices

• Please note that the recording link will be listed on this page when available