Analytics

Panellists at a recent webinar provided valuable insights in relation to how healthcare organizations can better utilize data for actionable insights to improve both business and care outcomes.

COVID-19 is highlighting the need to drive digital maturity with investment, while addressing data sharing models, says Ahmad AbuSalah, health informatics and intelligence officer at King Faisal Specialist Hospital and Research Centre.

Experts call the logistics of getting doses into the hands of distributors a "phenomenally critical" challenge – and not one that's easily solved.

SUNY Upstate Medical University has used AI-powered predictive analytics to, among other things, increase usage of OR minutes during business hours and improve the hygiene of its Epic EHR.

The machine learning-powered tech will be a "key component of our go-forward analytics and digital identity strategy," says CEO Gus Malezis.

A new study examined past vaccine uptake rates for flu and H1N1, and found that inoculation efforts fell short. The feds must help bridge that gap, "particularly for high-risk populations and communities of color," said former ONC chief David Blumenthal.

The New York health system has made AI and automation central to its mission, embedding algorithms into a wide array of workflows to target dozens of improvement initiatives.

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 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.