Prenosis Among Finalists Named for the 2022 Hearst Health Prize in Partnership With the UCLA Center for SMART Health

LOS ANGELES and SAN FRANCISCO, October 27, 2022 – The UCLA Center for SMART Health, an interdisciplinary collaborative that looks to the integrated transformation of healthcare through emergent data and technologies, and Hearst Health, a division of Hearst and leader in care guidance, today announced the three finalists for the 2022 Hearst Health Prize, a $100,000 award given in recognition of excellence in data science for managing or improving health in the U.S.

The 2022 Hearst Health Prize finalists, in alphabetical order, are:

  • Constant Therapy Health, for its personalized speech, language and cognitive therapy for patients with neurological disorders to receive evidence-based therapy at home. Its machine learning platform continuously identifies the best therapy exercises that each patient should do next by using the patient’s past performance metrics, population performance data for other patients like them, their clinician’s inputs, and the patient’s preferences and profile. Using the Constant Therapy platform at home, stroke patients achieved significant improvements on standardized cognitive and language skills compared with patients receiving standard of care workbooks. Patients with traumatic brain injury or stroke given access to Constant Therapy at home in addition to clinic therapy showed significant improvement on cognitive and language skills.
  • Geisinger, for its health data science solution that identifies at-risk individuals across the health system’s largely rural population and provides them with appropriate clinical services. Its ConnectedCare365 predictive model supports individuals with chronic diseases, helping to link them with care management resources to prevent unnecessary hospital and emergency room visits. Similar models identify patients at high risk of developing colorectal cancer to promote follow-up screening, and leverage natural language processing of radiology reports to identify cases of potentially deadly abdominal aortic aneurysm (AAA) that might otherwise be missed.
  • Prenosis, for its ImmunixTM Platform and Sepsis ImmunoScoreTM, an artificial intelligence and machine learning based Software-as-a-Medical-Device that identifies hospital patients at risk for having or developing sepsis. The Prenosis solution includes a proprietary biobank and dataset (NOSIS), and incorporates 25 parameters from the patient’s hospital electronic health record (EHR). Peer-reviewed studies have demonstrated the superior prognostic accuracy of NOSIS protein data with EHRs over that of a model trained only in EHR data; and that ImmunoScore-based risk strata were significantly associated with hospital length of stay, 30-day mortality, and 30-day inpatient readmission.

“The submissions to the 2022 competition represent an outstanding national sample of data science programs in healthcare, and these three finalists are truly an elite cohort,” said Gregory Dorn, MD, MPH, Hearst Health president. “The results they have achieved are impressive and inspiring.”

Read more on the Hearst website: Finalists Named for the 2022 Hearst Health Prize in Partnership With the UCLA Center for SMART Health