CCC held a visioning workshop on the Future of Pandemic Response and Prevention in September 2023 in Ann Arbor, Michigan. It was organized by the CCC Council’s Computational Challenges in Healthcare Task Force, and a Steering Committee of community members in the healthcare domain: David Danks, University of California-San Diego/CCC Council Member Rada Mihalcea, University of Michigan/CCC Council Member Katie Siek, Indiana University/CCC Council Member Mona Singh, Princeton University/CCC Council Member Brian Dixon, Regenstrief Institute Madhav Marathe, University of Virginia Shwetak Patel, University of Washington Erica Shenoy, Harvard MGB Michael Sjoding, Michigan Medical The organizers assembled a wide range of experts for a 1.5-day event to see what ideas the […]

CCC has a long history of engaging in topics at the intersection of health and computing, from the Computing and Healthcare workshop in 2012, to the Aging in Place workshop in 2014, to the Sociotechnical Interventions for Health Disparity Reduction workshop in 2018. The outcomes of these workshops revealed how computing research has the ability to make the lives of healthcare personnel (HCP) and the broader public easier, safer, and more effective. While society is optimistic that computing tools can be great aids to HCP during times of crisis, they largely fell short in being effective during the recent COVID-19 pandemic. In September 2023, CCC held a timely workshop on […]

Pending funding, the National Institute of Health (NIH) plans to launch the Bridge to Artificial Intelligence (Bridge2AI) program. Collaboratively managed by the NIH Common Fund, the National Center for Complementary and Integrative Health, the National Eye Institute, the National Human Genome Research Institute, the National Institute of Biomedical Imaging and Bioengineering, and the National Library of Medicine, the program seeks to provide comprehensive, high-quality and ethically sourced datasets to catalyze the widespread use of AI in the biomedical and behavioral research communities. AI has the ability to transform the biomedical and behavioral science fields. Possible applications include informing clinical decision making, monitoring and predicting health needs in real time and […]

Last week, the Food and Drug Administration (FDA) released guidelines for remote data acquisition in clinical investigations. The draft report focused on best practices for stakeholders that use digital health technologies to collect data from participants in clinical investigations evaluating medical products. The following are some of the considerations outlined in the report for those using digital health technologies to collect data in this manner: Technology selection, factoring in investigation population, DHT design and the appropriateness of participants’ own tools, as well as how to explain the tools’ suitability in submissions. Verification, validation and usability of the technology. Using tools to collect data for clinical endpoints. Technology risks, such as […]

A new episode of the Computing Community Consortium‘s (CCC) official podcast, Catalyzing Computing, is now available. Khari Douglas interviews Gregory D. Hager, a professor of computer science at Johns Hopkins University and the founding director of the Johns Hopkins Malone Center for Engineering in Healthcare. In this episode, Hager discusses medical applications for AI and robotics, tactile perception, the founding of the Malone Center, and data privacy. This will be the​ last episode of Catalyzing Computing hosted and produced by Khari, because he will be joining the editorial team at Overheard at National Geographic, “a podcast which follows explorers, photographers, and scientists to the edges of our big, weird, beautiful world.” Thanks for listening […]

Bayer, the pharmaceutical company that owns big name brands such as Aspirin, Aleve, Midol, Cenesten and Iberogast, recently partnered with Ada Health, an AI-based assessment platform. This free app uses an AI chat robot to collect information on symptoms, patient history and other user targeted questions to generate data-driven suggestions for next steps and proper care. “Ada’s technology is based on a custom-built reasoning engine and a highly comprehensive medical knowledge base, covering thousands of conditions. In fact, in a recent vignettes study testing the eight most popular online symptom assessment apps, Ada was proven to have the most comprehensive condition coverage, providing a condition suggestion 99% of the time, […]