The University of Chicago (UChicago) Medicine on Wednesday became the latest hospital to partner with Google to explore whether machine learning can predict a patients' likelihood of being readmitted to a hospital to improve health outcomes.
Stanford Medicine and the University of California-San Francisco also have paired with Google on the initiative. According to CNBC, the effort comes as hospitals face increasing pressure to keep patients healthy and avoid readmissions as the U.S. health system shifts away from traditional fee-for-service reimbursement models toward value-based payments.
The partnership will leverage experts in predictive modeling from UChicago Medicine's Center for Healthcare Delivery Science and Innovation and Center for Research Informatics and Google's machine-learning tools, which researchers developed under the company's Google Brain initiative.
The researchers will look to see whether there are patterns in individuals' electronic health records that indicate whether the patients will be hospitalized, how long hospitalizations could last, or whether an individual's health is worsening, the Chicago Tribune reports.
Katherine Chou, head of products at Google Brain, said, "We can improve predictions for medical events that might happen to you." She added, "There's so much health care data, especially with [EHRs] being adopted over the last 10 years. The potential for using that data for predictions, people haven't really figured out how to harness it."
Michael Howell, director of UChicago Medicine's Center for Healthcare Delivery Science and Innovation, said, "Prediction helps make patient care better. It's a core component of prevention, and it can also make complex care safer." However, Howell said, "Traditional tools of epidemiology and statistics simply can't use free text or images to create predictive algorithms that could alert physicians and nurses about patients' risks for problems." He added, "But together with Google, we can" (Kim Cohen, Becker's Health IT & CIO Review, 5/19; Schencker, Chicago Tribune, 5/17; Farr, CNBC, 5/17; Wood, "ScienceLife," University of Chicago Medicine & Biological Sciences, 5/17).
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