Analytics

Meanwhile, a platform for the secure testing of generative AI has been made available to health professionals. 

With prebuilt artificial intelligence tools and open APIs, health systems can use the cloud-agnostic tech to develop and deploy real-time analytics that could improve operational efficiencies and care delivery outcomes.

Kettering is advising people to be on alert for scammers who are calling patients requesting payments for medical expenses.

Nearly a decade since launching his Cancer Moonshot, the oncology research and precision medicine innovations of that project, along with other NIH-funded health data initiatives, have enabled advancements in personalized treatment and management.

Several new partnerships are deploying artificial intelligence to drive financial performance: filling underutilized OR schedules, pinpointing revenue leakage and improving medical coding accuracy.

Kirk Czonstka, SVP of strategic alliances for Garner Health, explains that the right data can improve how healthcare costs are controlled by giving insights into quality care at the lowest price.

When healthcare practices support reliable digital engagement tools, patients can better access and comply with care.

Despite years of investment, many hospitals remain digitally fragmented. A command centre approach offers a practical way forward, integrating data and decision-making in real time to enhance operational and surgical performance – and patient care.

Providers deal with integration issues and regulation difficulties in implementing AI and data analytics, says Tan Bin Ru, president of Enterprise Digital at ST Engineering.

The U.S. Department of Health and Human Services says the agencies will devise a data use agreement that assures secure access to certain Medicare and Medicaid data with the aim of uncovering root causes of autism.