- Philips and the U.S. Department of Defense are teaming up to develop an AI-algorithm to identify infection more than 48 hours before observable symptoms.
- Using large data sets & machine learning across biomarkers, innovative tech can speed time to detection, intervention & treatment, while improving outcomes & reducing the spread of disease.
- Future research is currently being planned to leverage this information as an algorithm to be integrated into a wearable
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Wolters Kluwer Harnesses AI to Bridge Data in EHRs to Speed Accuracy of HAIs
With healthcare M&A at an all-time high, many hospitals and health systems are feeling interoperability pains following mergers. 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 hospital-acquired infections.Real World Data Integration Challenges for ProvidersIntegrating data from disparate EHRs across health systems continues to be a largely manual process. But
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Healthcare Cyber Hygiene: 5 Best Practices to Protect Patient Data
Hospital-acquired infections and data breaches may have vastly different causes, but they have one thing in common—they put healthcare organizations and patients at risk. The “pathogens” which cause data breaches originate both externally and internally—but practicing healthcare cyber hygiene can reduce or eliminate their “infection."Patient data has high value—to others. According to Verizon’s 2017 Data Breach Investigations Report, healthcare has the second highest number of breaches after
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