Population Health
Cleveland Clinic's use of algorithms for risk stratification results in better population health ou…
Having the algorithms is the only way to deal with overwhelming amounts of data and a huge influx of COVID-19 patients, says Adam Myers.
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Insights into APAC's healthcare tech trends; key learnings from an integrated health management sys…
Healthcare organizations in Asia Pacific are looking to further leverage technology to improve healthcare systems and operations, as well as explore new models of care outside of hospital walls.
The pandemic has proven that it's possible to innovate quickly in the face of crisis. Now it's time to keep that momentum going.
HIMSS Middle East 2020
The final closing keynote of the HIMSS & Health 2.0 saw top-level international health leaders highlight key elements of their national strategies in response to COVID-19.
The international quality standard demonstrates the use of technology, data and analytics to support inpatient care.
Jonathan Weiner, professor at Johns Hopkins Bloomberg School of Public Health, details the data fundamentals that are necessary for effective AI and machine learning algorithms.
The National Governors Association released a white paper this week examining state policies around telehealth and outlining key considerations for governors to assess the potential implications of said policies going forward.
Biased algorithms are bad for patients – but with more awareness of potential AI disparities, experts say there's reason for optimism.
The solution offers organisations on-site testing and a digital pass platform.
Digital is changing the game for those treating and caring for the medically underserved, says Rene Cabral-Daniels, CEO of Cenevia.