Oklahoma State University’s Center for Health Systems Innovation (CHSI), a joint venture between the Spears School of Business and the Center for Health Sciences, has entered into a two-year collaboration with Wolters Kluwer Health.
The collaboration will utilize CHSI’s extensive health data analytics, artificial intelligence (AI) and data access capabilities along with Wolters Kluwer’s own expertise in AI and clinical subject matter to develop and validate tools that help providers predict, detect, stage and monitor specific health conditions.
“We are ecstatic to team up with an exceptional company like Wolters Kluwer,” said Dr. William Paiva, executive director of CHSI. “They share our mission to improve health care access and quality, while controlling costs through the implementation of innovative delivery models and IT solutions. As a leader in the field of health information, evidence-based solutions and data analytics, this collaboration with Wolters Kluwer Health is a logical one and we look forward to seeing what we can advance in the industry together.”
The first project is focused on detecting the onset of hospital-acquired infections (HAI). HAIs impact hundreds of millions of patients globally every year and carry significant clinical and financial implications. Wolters Kluwer will work with CHSI to identify new variables, analyze data and validate independently-developed AI algorithms and models. The models developed by Wolters Kluwer, will be integrated into Wolters Kluwer’s clinical surveillance solutions to provide early warnings of HAIs, ultimately improving patient outcomes and reducing costs.
“We are always looking for exceptional academic partnerships to support our customers and strengthen our capabilities as the leading provider of trusted clinical technology and evidence-based solutions across the continuum of care,” said Jean-Claude Saghbini, chief technology officer for Wolters Kluwer Health. “OSU’s Center for Health Systems Innovation represents a truly unique organization because they bring both their data analytics, artificial intelligence and innovation capabilities as well as their implementation channels to deploy their innovations to this collaboration.”
The goal for this alliance is to develop artificial intelligence algorithms that can detect and predict various medical conditions using electronic health records (EHR) data.
“The health care industry has gone through an industrial revolution through the digitization of health information. Much of that data is located in EHRs,” Paiva said. “Being able to extract value from that data represents a golden opportunity for our health care system to improve health and our center is one of the leaders in this brand new field.”
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