Oklahoma St. Launches Predictive Medicine Center | Healthcare Informatics Magazine | Health IT | Information Technology Skip to content Skip to navigation

Oklahoma St. Launches Predictive Medicine Center

August 12, 2016
by David Raths
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Center for Health Systems Innovation has access to de-identified Cerner Health Facts Database

Oklahoma State University’s Center for Health Systems Innovation (CHSI) has launched a Center for Predictive Medicine, with the goal of mining clinical data sets to predict the probability of disease, adverse events, drug and clinical outcomes, and disease progression. 

CHSI has a longstanding relationship with Cerner Corp. Chairman and CEO Neal Patterson, an OSU alumnus who initiated the Patterson Foundation Chair Fund, which established CHSI. Because of this relationship, CHSI is granted use of the de-identified Cerner Health Facts Database, which captures and stores de-identified, longitudinal electronic health record (EHR) patient data, and then aggregates and organizes it into consumable data sets to facilitate analysis and reporting.

Access to that 63 million-plus patient dataset will afford OSU’s team of health data analysts, statisticians, and data scientists the ability to develop a number of clinical decision algorithms and predictive medicine tools, said William Paiva, Ph.D., M.B.A., CHSI’s executive director, in a statement. “Our analytic research teams are discovering detailed patterns in the data that can equip healthcare providers and patients with the information they need to make improved, better, and faster clinical and business decisions.  The wide spectrum of applications that will be developed from this data range from management of a broad range clinical conditions and complications, drug dispensing and interactions, admission and discharge planning, and payment model reforms. OSU is on the leading edge of predictive medicine with this one-of-a-kind asset.”

The Center for Predictive Medicine’s researchers are working on several projects:

  • Development of clinical decision support algorithms for the management of cardiovascular, pulmonary and diabetic patients.
  • Phase IV in-silico drug studies in cardiovascular, pulmonary and diabetic patients to demonstrate which patient populations are best suited for which therapeutic interventions.
  • Studies looking at payer outcomes by diagnosis and new payment models.
  • Development of hospital clinical and performance benchmarks.

CHSI combines the expertise of the OSU Spears School of Business in Stillwater and the OSU Center for Health Sciences in Tulsa, said Ken Eastman, Ph.D., dean of the OSU Spears School of Business  “This partnership allows CHSI to tap into the clinical expertise in Tulsa as well as the information technology horsepower resident in the management information system (MIS), industrial engineering, and computer science departments on the OSU campus in Stillwater,” he said in a statement.



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