The Clinical Excellence Research Center (CERC) in the Department of Medicine at Stanford University seeks research faculty to join the Center as Assistant Professor or Associate Professor or Professor in the University Tenure Line (UTL) or the Medical Center line (MCL). We are seeking dynamic individuals to bring intellectual leadership and rigorous scholarship within the Center’s research focus.
The Center’s focus is the discovery of scalable methods of high-quality healthcare delivery that lower population-wide health spending. Please visit CERC’s website for further background. Priority will be given to candidates who examine how information technology tools enable higher-value care at scale via applications such as decision support, workflow support, information exchange, and emerging forms of artificial intelligence.
The Stanford University Clinical Excellence Research Center (CERC) strives to lower healthcare spending in the United States by designing, pilot testing, and evaluating innovative models of care delivery. Our design work is enabled by research in areas including human factors, artificial intelligence and positive deviance.
CERC has partnered with the Stanford School of Engineering for its PAC program. PACs research mission is to deliver Artificial Intelligence based health care service delivery solutions that improve cost efficiency and health care quality. In addition, CERC works with sponsors and national collaborators on its bright spots and human experience research. To disseminate insights from this cutting edge work, CERC and various sponsors are collaborating to translate these findings into practical solutions and evaluate the effectiveness of these interventions on quality and cost.
The successful candidate will spend 50% of their time on our Partnership in Artificial Intelligence Assisted Care (PAC) program and 50% supporting other programs within CERC. Stanford University is seeking a Healthcare Innovation Analyst to perform work to support its research initiatives.