Focus on lab results adds scale and support for more accurate detection of hospital acquired infections.
As the healthcare industry undergoes rampant merger and acquisition (M&A) activity, health systems are faced with the challenge of rapidly integrating data silos across hospitals to ensure continued quality of care and avoid revenue disruptions. In Health, Wolters Kluwer is now harnessing AI to bridge data in electronic health records (EHRs) and disparate systems, such as lab results, to improve how organizations identify and report hospitals acquired infections.
“Healthcare has reached a tipping point when it comes to actionable data, but the language of healthcare remains largely unstandardized, limiting what can be understood across platforms and the people who need to act upon the information,” said Jean-Claude Saghbini, Chief Technology Officer for Wolters Kluwer, Health. “AI is increasing data-mapping capabilities exponentially, which enables the rapid identification of findings that benefit decision-making. For example, hospitals using our surveillance solutions for early detection and intervention of hospital acquired infections (HAI) will benefit from AI’s ability to map lab results faster and more accurately to reduce risks and help keep patient’s safe.”