$30,000 - $50,000
$30,000 - $50,000
A practicing physician, Ashish K. Jha, M.D., M.P.H., is recognized globally as an expert on pandemic preparedness and response as well as on health policy research and practice. He has led groundbreaking research around Ebola and is now on the frontlines of the COVID-19 response, leading national and international analysis of key issues and advising state and federal policy makers.
Dr. Jha has published more than two hundred original research publications in prestigious journals such as the New England Journal of Medicine and the BMJ, and is a frequent contributor to a range of public media. He has extensively researched how to improve the quality and reduce the cost of health care, focusing on the impact of public health policy nationally and around the globe.
On September 1, Dr. Jha started his role as the Dean of the School of Public Health at Brown University. Before that, Dr. Jha was a faculty member at the Harvard T.H. Chan School of Public Health since 2004 and Harvard Medical School since 2005. He was the Faculty Director of the Harvard Global Health Institute from 2014 until September 2020. From 2018 to 2020, he served as the Dean for Global Strategy at the Harvard T.H. Chan School of Public Health.
A general internist previously with the West Roxbury VA in Massachusetts, Dr. Jha will continue his practice at the Providence VA Medical Center.
Dr. Jha was born in Pursaulia, Bihar, India in 1970. He moved to Toronto, Canada in 1979 and then to the United States in 1983. In 1992, Dr. Jha graduated Magna Cum Laude from Columbia University with a B.A. in economics. He received his M.D. from Harvard Medical School in 1997 and then trained as a resident in Internal Medicine at the University of California, San Francisco. He returned to Boston to complete his fellowship in General Medicine from Brigham and Women’s Hospital and Harvard Medical School. In 2004, he completed his Master of Public Health degree at the Harvard T.H. Chan School of Public Health. He was elected to the National Academy of Medicine in 2013.
COVID-19 in the US
o Where are we now in the pandemic?
o How did we get to this point in the US?
o What will the next 6 to 12 months bring?
COVID 19 – The Global Perspective
o Using a global lens to under how the pandemic has shifted across the globe
o How different nations have responded
o What can countries learn from one another in terms of international response to COVID 19?
COVID19 and the Future of the US Healthcare System
o What are the major effects of the pandemic on the US healthcare system?
o Who have been the big winners and losers?
o What are the likely changes that are coming? Beyond telemedicine – how will payment models, workforce issues change?
Pandemics and Pandemic Preparedness: Life after COVID
o COVID is ushering in an era of more intense disease outbreaks and pandemics
o How COVID has exposed the weak global pandemic preparedness approach
o What are the major investments we need to make to be better prepared for future outbreaks?
o What are things that companies/private sector needs to do?
o What is the role of government in preparing for future outbreaks?
Why Does the US Spend So Much More on Healthcare than Other Nations?
o What are the major factors that drive higher spending than other high income countries?
o Why has most of the senior health policy community gotten this so wrong and how can we use data to explain higher spending?
o What are key policy prescriptions that are needed to bring healthcare spending under control?
Value-Based Care: Past, Present and Future
o Well before the COVID pandemic, value-based care was getting traction
o The pandemic has made plain that the HC system can’t continue with business as usual
o Value-based care and alternative payment models will likely dominate the healthcare scenery over the next decade
o What is the evidence that any of it will work?
Artificial Intelligence and its Application to Global Health
o What is the state of global healthcare delivery currently?
o What are the major tools of AI that might actually be useful?
o What are the likely benefits of AI in low and middle-income countries and are those benefits larger than the ones in high-income nations?
o How do we capture these benefits?
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