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4 Keys to Modernizing Public Health Data Collection and Analysis

HIT Consultant

Health Analytics Lead, Accenture Federal Services The COVID-19 pandemic shined a spotlight on the urgent need to modernize the nation’s public health system. Despite success in rapidly developing vaccines, the unprecedented public health emergency also exposed significant gaps in U.S. Kenyon Crowley, Ph.D.,

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APAC still faces immense challenges to data, AI, predictive analytics adoption: report

Healthcare It News

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.

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Leveraging Data Analytics and Technology to Address Population Health Challenges and Identify Trends

Healthcare IT Today

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 public health interventions? The following are their answers.

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Moving aging patients from confusion to the point of care

Healthcare It News

DUOS also found that 61% of people it surveyed this year believe that digital health tools improved public health 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 health outcomes.

Medicare 231
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Roundup: Health systems embracing AI imaging tools

Healthcare It News

"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 health outcomes," added Dr. David Hsi, chief of cardiology and the institute's co-director. Andrea Fox is senior editor of Healthcare IT News.

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Chronic disease 'patient burnout' – a silent issue that must be tackled

Healthcare It News

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 health outcomes and can help address patient burnout.