Artificial Intelligence Assisted Care Research

As the complexity of healthcare delivery methods expands, limitations in human cognitive processing will increasingly constrain their reliable translation into better health. Harvesting the full benefit from cost-effective methods of care delivery requires flawless execution by multiple people of increasingly complex implementation steps. A study of American ICU care in the 1990s found that good care required skillful completion of more than 175 tasks per patient per day. While biomedical innovations such as vaccines or disease-eradicating treatments can reduce this complexity, on balance, complexity continues to grow for most healthcare. The result is high rates of unreliability. National studies demonstrate failures of intended clinical processes as high as 45%.

Partnership with the Artificial Intelligence Lab

  • CERC is collaborating with Stanford’s Artificial Intelligence Lab via our Partnership in AI-Assisted Care.
  • To sidestep current weaknesses in connectivity among electronic health records, our initial pilot tests primarily focus on computer vision technology.
  • We co-located our design lab in Stanford’s Center for Advanced Studies in Behavioral Sciences, where we will enlist distinguished behavioral scientists to help us address human factors challenges that impair the health industry’s use of clinical workflow support systems.
  • As a forum for cross-pollination, CERC periodically hosts Stanford’s dialogue on Electronically Guided Health Care – composed of faculty from the Schools of Engineering, Computer Science and Medicine as well as Silicon Valley corporate research units.

Pilot Projects

Specific pilot projects address:

Learn more about these projects at the Stanford Program in AI-assisted Care (PAC) site.