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When it comes to predictive analytics, over a quarter (27%) said they have already adopted the technology while almost half (44%) are in the process of implementation. But there is still a need to improve APAC's use of data, AI and predictive analytics to enable future healthcare systems, the report stressed.
"This tool enhances our ability to detect early signs of cardiovascular disease and ensures that patients receive the follow-up care they need to prevent serious healthoutcomes," added Dr. David Hsi, chief of cardiology and the institute's co-director. Andrea Fox is senior editor of Healthcare IT News.
DUOS also found that 61% of people it surveyed this year believe that digital health tools improved publichealth over the past three years. According to our national survey, 60% of people are willing to use AI-powered tools for health answers, highlighting a growing trust in their ability to improve healthoutcomes.
Our predictive models use data such as blood glucose levels, medication fills, food logging and other health signals to identify those at risk and drive increased engagement in the program. Engagement is a key factor in boosting healthoutcomes and can help address patient burnout.
HealthAnalytics Lead, Accenture Federal Services The COVID-19 pandemic shined a spotlight on the urgent need to modernize the nation’s publichealth system. Despite success in rapidly developing vaccines, the unprecedented publichealth emergency also exposed significant gaps in U.S. Kenyon Crowley, Ph.D.,
We reached out to our incredible Healthcare IT Today Community with the question – How are health organizations leveraging data analytics and technology to address population health challenges and identify trends that can inform publichealth interventions? The following are their answers.
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