By David Smith – Big data? It’s being collected everywhere in healthcare settings; constantly generated by smartwatches and other consumer wearables, health apps, EHRs, and through genomics. We’re essentially sitting on a gold mine. The question is, what are we doing with it?
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By Gary Hamilton – We all know that today’s patients have expectations that are greatly influenced by industries outside of healthcare. They want instant access to their health information and online tools for scheduling appointments and messaging their provider because they can do similar tasks through retail and banking websites.
By Josh Rubel – From electronic health records to perioperative information systems to supply chain and finance, health systems are swimming in data – but using that data to improve care quality and performance remains a significant challenge.
By Dr. Josh Emdur DO – American healthcare delivery as we know it has shifted radically in recent years. A report conducted by The Association of American Medical Colleges revealed that the U.S. could see a shortage of anywhere between 37,800 and 124,000 clinicians by 2034, the impact of which could be devastating.
By Ben Herzberg – Under the HITECH Act, the U.S. Department of Health and Human Services has to post and investigate all data breaches of health records affecting 500 people or more. In the last 24 months, there have been 885 breaches.
By Seth Ravine – As managed Medicaid and Medicare Advantage continue to grow—more participants and health plan expansion—the need to effectively address health related social needs increases proportionately.
By Mayur Yermaneni – Trends all point to the broader adoption of value-based care in 2023. But more advanced technology is required to fully support the industry’s value-based journey. How will we get there?
By Megan Pruente – While the current state of patient matching is best described as tumultuous, progress toward a solution is being made thanks to efforts of stakeholders from across the spectrum.
By Devin Partida – New technologies such as artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT) are becoming much more prevalent in the health care, medical and scientific research industries.