It’s the 10th anniversary of National Health IT (NHIT) Week and this year’s topic is #HealthEquity. Health equity is best described as giving people what they need to achieve their best health outcomes. Unfortunately, much of the data we use to improve patient outcomes in areas like population health, mental health, and chronic disease management,
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RPA has proven its value as a strong technology to support an enterprise’s strategic goals. But getting it right has its challenges. A successful implementation begins by finding the right processes to automate. Like many technology investments, success depends on having the right people onboard, who can help you push past the obstacles when they
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The COVID-19 global pandemic highlighted the need for a population health approach to identify and implement strategies in healthcare. In doing this, we quickly realized our inability to input, organize, and share data across and between information silos. Without a more complete “view,” our ability to measure is inaccurate, failing to meet the goals of
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The use of automation to replace manually laborious tasks that are better done by machines saves time, and allows clinicians to devote more time to higher-value roles, such as patient interaction. Identifying patient challenges is the foundation of care coordination. Multiple organizations use paper or EHR-based assessments to pinpoint social determinants of health and communicate
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The inherent value of a population health perspective is the ability to facilitate increased knowledge across multiple measures that can help a clinician understand or predict health outcomes. This includes looking at data inputs such as chronic conditions and treatment plans, and adding in a multitude of possible risk factors that may impede health in
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