03:14 pm April 01, 2015
CMS has signaled a renewed focus on interoperability, a welcome development for healthcare professionals anxious to more easily exchange insightful data. But there's still the matter of how well the people involved in collaborative initiatives operate together.
09:45 am April 01, 2015
The healthcare industry is naturally rich with data. It's clear that analyzing this data collectively can improve patient care and outcomes, but how to actually collect, read, integrate, understand and leverage the data remains a broken process.
09:39 am March 17, 2015
Population health, Big Data, predictive analytics and all that massive computing power help to improve health. But care still has to be delivered, and it will probably still be one patient and one caregiver at a time: a population of two.
07:36 am March 03, 2015
Until recently, technology-enabled efforts to improve population health relied heavily on the use of claims data alone. While there is evidence this approach has merit, there is also a new opportunity to take these efforts to the next level.
01:38 pm February 24, 2015
Payers' involvement in patient care, and their access to clinical data, has remained limited. They have traditionally relied on claims data to build care management applications and cost reduction programs.
12:58 pm February 19, 2015
Tying reimbursement to outcomes can lead to better patient recoveries, more predictable costs for all parties, higher prescription adherence rates, fewer readmissions and fewer medical errors, among other benefits.
07:18 pm February 17, 2015
Like most technologies, big data can be used for good or it can be abused. But the good that big data brings far outweighs any accompanying risks.
04:10 pm February 11, 2015
Realizing the return on investment from implementations of population health management technologies can take years. But there are approaches to optimizing programs for an earlier ROI.
08:24 am August 01, 2014
Recently, John Halamka, MD, has given many lectures about SMAC -- social media, mobile, analytics and cloud computing. He finds that the most popular analytics topics are business intelligence, big data, and novel data visualizations.