Speaker: Enrico Coiera, PhD, Director of the Centre for Health Informatics at Australian Institute of Health Innovation
Date: April 29, 2021 at 5:00PM - 6:30PM
In an age where technology appears to rule supreme, it is easy to forget that our relationship with technology is complicated. Just as humans shape technology, it shapes us in return. It is also easy to only see things through the lens of the technologies we have to hand, and build solutions that ill fit reality. Electronic health records for example demand that clinical work bends to the needs of documentation, with the end result being burnt out clinicians who do anything but what they were taught at medical school. Algorithms built with our cleverest machine learning methods just end up making concrete the biases implicit in their data sets. Seeing human systems like healthcare as sociotechnical systems helps us understand these unintended consequences, and gives us a different lens to understand technology design and use.
Speaker: Lawrence Lessig, JD, Founder of Creative Commons, Roy L. Furman Professor of Law and Leadership at Harvard Law School
Date: March 1, 2021 at 4:00PM - 5:30PM
Privacy has become a central focus of policy debates in every context. In this talk, Lessig argues that we’re conceiving of the problem in a fundamentally flawed way. Offered is a different framework, radically different but critically better. Or so it is hoped.
Speaker: Atul Butte, MD, PhD, Priscilla Chan and Mark Zuckerberg Distinguished Professor at UCSF and Chief Data Science Officer at University of California Health System
Date: February 22, 2021 at 4:00PM - 5:30PM
There is an urgent need to take what we have learned in our new data-driven era of medicine, and use it to create a new system of precision medicine, delivering the best, safest, cost-effective preventative or therapeutic intervention at the right time, for the right patients. Dr. Butte's lab at the University of California, San Francisco builds and applies tools that convert trillions of points of molecular, clinical, and epidemiological data -- measured by researchers and clinicians over the past decade and now commonly termed “big data” -- into diagnostics, therapeutics, and new insights into disease. Dr. Butte, a computer scientist and pediatrician, will highlight his center’s recent work on integrating electronic health records data across the entire University of California, and how analytics on this “real world data” can lead to new evidence for drug efficacy, new savings from better medication choices, and new methods to teach intelligence – real and artificial – to more precisely practice medicine.
Speaker: Timothy Yu, MD, PhD, Neurogeneticist and Researcher at Boston Children's Hospital
Date: January 11, 2021 at 4:00PM - 5:30PM
Genome sequencing is revolutionizing the diagnosis of rare diseases, but 95% of these conditions still lack effective therapy. With up to 7,000 distinct genetic diseases to tackle, new and creative frameworks will be necessary to meet this need. Recent advances offer the prospect of platform-based therapeutic approaches to certain genetically targetable disorders — in the right circumstances, facilitating the design and deployment of hyper-personalized drugs for conditions affecting as few as even a single patient. The scientific, clinical, ethical, and regulatory implications of these capabilities will be discussed.
Speaker: Shep Doeleman, PhD, 2020 Breakthrough Prize Winner; Astrophysicist at Center for Astrophysics
Date: November 9, 2020 at 4:00PM - 5:30PM
What can medicine learn about collaboration and data sharing from one of the most successful team science projects of all time--creating a telescope the diameter of the earth to snap an image of a black hole? Black holes are cosmic objects so massive and dense that their gravity forms an event horizon: a region of spacetime from which nothing, not even light, can escape. Einstein's theories predict that a distant observer should see a ring of light encircling the black hole, which forms when radiation emitted by infalling hot gas is lensed by the extreme gravity. The Event Horizon Telescope (EHT) is a global array of radio dishes that forms an Earth-sized virtual telescope, which can resolve the nearest supermassive black holes where this ring feature may be measured. On April 10th, 2019, the EHT project reported success: we have imaged a black hole and have seen the predicted strong gravitational lensing that confirms the theory of General Relativity at the boundary of a black hole. This talk will describe the project, and the global collaborative approach that produced these first results, as well as future directions that will enable real-time black hole movies.
Speaker: Ricky Bloomfield, MD, Clinical and Health Informatics Lead at Apple
Date: March 2, 2020 at 4:00 PM - 5:30 PM
Healthcare has been slow to adopt scalable, interoperable, user-centric solutions as other industries have done, but technology is finally catching up with the needs of patients. Ricky will share how Apple's support and use of open standards has helped accelerate adoption across the country.
Speaker: David Clark, PhD, MS, An Inventor of the Internet; Technical Director at MIT Internet Policy Research Initiative
Date: February 13, 2020 at 4:00PM - 5:30PM
In the early days of the Internet, technical innovation shaped its future. Today, issues of economics, market dynamics, incentives, and some fundamental aspects of networked systems shape the future. This talk will summarize eleven forces that are shaping the future of the Internet and make an argument that we are at a point of inflection in the character of the Internet, as profound as the change in the 1990’s when the Internet was commercialized.
Speaker: Nicholas A. Christakis, MD, PhD, MPH, Scientist and Physician at Yale University
Date: December 16, 2019 at 4:00PM - 5:30PM
Human beings choose their friends, and often their neighbors and co-workers, and they inherit their relatives; and each of the people to whom we are connected also does the same, such that, in the end, we humans assemble ourselves into face-to-face social networks. Why do we do this? How has natural selection shaped us in this regard? What role do our genes play in the topology of our social ties? And how might a deep understanding of human social network structure and function be used to intervene in the world to make it better?
Speaker: Maxine Mackintosh, PhD, Winston Churchill Fellow at the Alan Turing Institute and University College London
Date: October 21, 2019 at 4:00PM - 5:30PM
A day does not go by without a new framework for ethics in AI, particularly in health and social care. But when your health system is based on need versus ability to pay, yet the skills, computational power and often data lies in tech companies, from SMEs to multinationals, it can be difficult to see how a health system can digitize in an equitable and ethical manner. Maxine’s talk will share some examples of the learnings, attitudes and practical ways the UK has approached data stewardship, partnerships, “intangible assets" and transparency of health data organizations looking to work with the NHS. These examples will include learnings from DeepMind Health’s Independent Review Board, the use of consumer data in the UK for health research, and how the UK is approaching some of these discussions at a national, policy level.