Analytics
AI & ML Intelligence
Between healthcare chatbots, smart patient records, doctors armed with predictive analytics and frontline staff often interfacing electronically, patients want healthcare interactions and experiences to be transparent and personalized.
AI & ML Intelligence
Artificial intelligence has the potential to expand a healthcare organization, reaching more patients and improving outcomes. But how can healthcare leaders help their clinical workforce understand the implications and ensure their buy-in?
The qualified health information network says athenahealth, ModuleMD and Solace Health have gone live on its TEFCA platform, which features Carequality access, new security capabilities and more streamlined workflows.
Digital health organizations can future-proof themselves to ensure longevity and relevance years into the future. Dr. Guido Giunti, adjunct professor of digital health at the University of Oulu in Finland, explains how.
The assessment is designed to help healthcare organizations ensure they have the right governance in place for deploying artificial intelligence and machine learning models.
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Also: Elevance Health and CDR announced a national primary care platform for risk-based healthcare delivery that takes a whole health approach to improve patient outcomes.
Also, Gold Coast Health is trying out an AI scribe to support clinical documentation.
Advancing "techquity" demands that providers be all in with collaboration, transparency and inclusivity, says Andrew Hamilton, RN – who offers insights about public health surveillance and the collection and use of social care needs data.
Healthcare organizations will need to go through a three-step process to achieve post-quantum safety: Discover, observe and transform, says Scott Crowder, vice president of IBM's quantum-safe adoption team.