By April Miller – More than ever, patients are taking an active role in their own health care. Empowering individuals to make important, informed decisions about their well-being is an essential part of health care consumerism.Read More
By Thad Salido MD – The future of healthcare extends beyond treating illnesses; it’s about the ability to foresee and prevent them. With the emergence of AI and the rapid expansion of comprehensive population health data, we stand at the cusp of a healthcare revolution.
By Palak Shah – The accelerating advances in AI have ignited a new era of innovation. Healthcare is a sector that stands to gain tremendously from this revolution. This article aims to explore eight specific ways AI will transform the future of healthcare, making it more efficient, personalized, and proactive.
By Abhinav Shashank – Once while I was scrolling through the news feed on my phone, there was one specific line that really made me wonder: “There’s a 40% chance of gusty and blustery winds today.” Statements such as this one strongly influence people’s behavior…
By William Hersh MD – The NLM recently posted a RFI asking for comment on promising directions and opportunities for next-generation data science challenges in health and biomedicine. This blog posting lists the questions posed and my responses to them.
At the annual HIMSS conference in Orlando this year I spent some time talking to Paul Bradley, Chief Data Scientist for ZirMed. Paul shares his insights on the growing importance of using predictive analytics in revenue cycle management.
At the HIMSS conference in February, I sat down with Ric Sinclair of ZirMed. In this interview, Ric offers his insights on current and future trends impacting revenue cycle management.
By Neil Smiley – Bundled payments and predictive analytics dominated the health information technology landscape for much of 2016. 2017 is shaping up to become the year that providers and payers will effectively leverage these new capabilities.
By Robert Rowley MD – The outcome of the recent election caught many people, and many forecasters, by surprise. How could their predictions have missed the mark so significantly?