David Headshot

David Scheinker

Founder and Director, SURF Stanford Medicine

Adjunct Professor, Management Science and Engineering

Director of Systems Design and Collaborative Research, Lucile Packard Children's Hopsital

Stanford Medicine-Engineering Partnership Launches an Interactive Model to Facilitate COVID-19 Response Planning for Hospital and Regional Leaders

The SURF team in Health Management, Policy, and Innovation

“Interactive online tools can help local hospital and public health officials understand and plan for the number of people in their area that are likely to require hospitalization for COVID-19. Publicly available data, including the most recent data on COVID-19 hospitalization rates by demographics, used to project local hospitalization numbers in an online tool.”

Interactive Model for Hospitals to Estimate COVID-19-Related Bed and Ventilator Demand Developed by Stanford Medicine-Engineering Partnership

Kelly McFarlane, Teng Zhang, Jacqueline Vallon, and the SURF team in Health Management, Policy, and Innovation

“Development of an interactive online tool to predict COVID-19 related demand for intensive care and acute care hospital beds can help hospitals with capacity planning. Inputs to the online model are based on best available evidence and discussions with experts; all inputs and parameters are editable and can be updated as new data becomes available.”

Coronavirus Pandemic Spurs Stanford Researchers to Create Hospital Resource Calculator

David Scheinker in The Wall Street Journal

“Responding to the national surge in Covid-19 patients at hospitals, researchers at Stanford University have created online calculators to help policy makers and hospital administrators everywhere better allocate their staff and equipment.”

Stanford Engineers Develop COVID-19 Calculator to Help Hospitals Prepare

David Scheinker, Peter Glynn, and José Blanchet in Stanford News

“Working at breakneck speed, a team of engineering and medical professionals at Stanford have created two novel computer tools that can tell local governments and hospitals whether they are about to be overwhelmed by the COVID-19 pandemic.”


Valuable Addition: Mathematical Models to Improve How Hospitals Are Run

Allison Esho and David Scheinker in the Stanford Medicine Magazine

“In 2016, Angie Kopetsky was in charge of assessing whether the pediatric outpatient cancer treatment unit at Lucile Packard Children’s Hospital Stanford could take on more patients from elsewhere in the hospital. She had reviewed historical data showing that the unit, where patients come by appointment for hours-long chemotherapy infusions, was using only 40% of its capacity.”


Wasted Health Spending: Who’s Picking Up The Tab?

Daniel P. O’Neill and David Scheinker in Health Affairs

“More than 90 million Americans carry coverage under a risk-adjusted, quality-rated plan funded by either Medicare Part C or a state-run managed Medicaid program. The economic incentives and administrative requirements in these coverage segments are distinct from the traditional fee-for-service model, and there is evidence that this structure can shape the choice of facilities and use of preventative services.”

Siri, Open the Pod Bay Doors

David Scheinker in Healthcare-Informatics

“My work helps me see both sides of AI. With my group SURF Stanford Medicine, I work on projects such as predicting crisis events for hospitalized children by analyzing bedside monitor waveform data with neural networks. Such projects are investments in the future of medicine, [Artificial General Intelligence] Hal-AI with limited impact in the immediate future. For operational projects at Lucile Packard Children’s Hospital, I partner with industry leaders to automate clinically-triggered notifications; to improve diabetes management using devices that communicate with the hospital electronic medical record; and to use biometric devices to monitor patients with chronic disease.”

Can Studying Infinite Dimensional Space Help Us Improve Healthcare?

David Scheinker’s talk at the Ronald E. Hatcher Science on Saturday Lecture Series at the Princeton Plasma Physics Lab, March 1, 2014.

“Could a hotel with a guest in each room give a new guest her own room without asking anyone to leave or share rooms? Could a surgeon with a perfect scalpel cut a pea into 5 pieces and reassemble them into a sphere the size of the sun? Could a pizza chef push the dough in a pizza pan out of the middle to form a ring of crust without ripping it? In our world, the answer to each of these questions is “no.” But, if you consider infinite sets and infinite dimensional spaces, each answer becomes “yes.” Furthermore, the theories built around these ideas have been used to design iPhones, predict the outcomes of presidential elections, and teach computers how to learn.