Medicine in the Age of Electronic Health Records

---- {{youtube>w1qmYa9ZpkM?small | }} Invited talk at NIPS 2015, Workshop on Machine Learning For Healthcare ---- {{youtube>4a4WdRxSg-U?small&start=163 | }} Performing an Informatics Consult, at the 2016 Big Data meeting at Stanford. ---- {{youtube>fhvQMB6N7to?small&start=196 | }} Building a Machine Learning Healthcare System, Invited talk at the Parc Forum, Summer 2016. ---- {{youtube>oIaio5ilv6U?small&start=133 | }} Building a Machine Learning Healthcare System, at the Institute for Advanced Computational Science, Spring 2017. ---- {{youtube>2ERCBBQOMlg?t=460&small | 45 minute grand rounds talk launching the service in 2017}} 45 minute grand rounds talk launching the service in 2017. ---- {{youtube>Njphqhju5Fo?small | Supporting clinical decision making at the bedside}} 2 min overview of our work in supporting clinical decision making at the bedside. ---- {{youtube>GNTIoEADfY4?small | Artificial Intelligence transforms health care}} Russ Altman and Nigam Shah taking an in-depth look at the growing influence of “data-driven medicine.” ---- {{youtube>gQu2HbusrGQ?small&start=39 | Keeping the Human in the Loop for Equitable and Fair Use of ML in Healthcare}} Keeping the Human in the Loop for Equitable and Fair Use of ML in Healthcare, at AIMiE 2018 ---- {{youtube>xW3drA3ijRc?small | Building a Machine Learning Healthcare System, at XLDB 2018}} Building a Machine Learning Healthcare System, at XLDB, April 30 2018 ---- {{youtube>fuyVriaq5Vk?small | One minute video on the Informatics Consult Service}} One minute video on the Informatics Consult Service. ---- {{vimeo>375462436?small | NIH Collaboratory}} Grand Rounds at the NIH Collaboratory on Nov 22, 2019 ---- {{youtube>4WRYTYfixKs?small&start=73 | Modeling for COVID-19}} 5 min clip on how we need to improve the quality of the inputs to our COVID-19 models. ---- {{youtube>lxFBknzm88s?small | Data Science Response to a Pandemic}} A talk about Stanford's data science efforts at COVID-19 and AI: A Virtual Conference by Stanford HAI. ----