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.
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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?
By Sarianne Gruber – Predictive Analytics World moderator, Jeff Deal recited Ms. Bresnick’s statement to the panelists and asked “Is that statement fair? Is analytics still on the backburner in healthcare?
Study by Health Catalyst: Nearly 80% of hospital executives believe the future of healthcare could be significantly improved through the use of predictive analytics.
Predictive analytics can be used effectively to evaluate massive data generated within the healthcare industry. Predictive analytics is a process that uses machine learning to analyze data and make predictions.
Precision Advisors, a Precision for Medicine Company, announced the findings from its 2015 Digital Trends Study of 145 managed care executives. The study concludes that decision makers are aware of the concepts of big data and predictive analytics, but are not equipped to fully implement them.