Two Basic Themes Will Guide This Year’s Major Health Analytics Gatherings

As a notably conservative field, and one that often remains that way for good reasons, the healthcare industry has been slower than many others to jump aboard with the broad-based appreciation for analytics of recent years. With so many relatively static and regulation-prone systems and procedures to account for, administrators and medical professionals alike have persisted somewhat in seeing the promise of analytics as something almost unattainable. That has started to change quickly, though, thanks to a combination of rapid recent technological advancement and the emergence of a new generation of analytics tools tuned for the needs of the healthcare industry. As a look at the session listing for the upcoming Healthcare Analytics Summit will show, there is plenty of excellent work of this kind already being done in the industry and there will undoubtedly be a lot more to follow.

The main attraction of healthcare analytics for many on the office-bound side of things is the ability to cut costs without sacrificing service. The HAS16 session lineup makes it clear that this is a widespread and well-grounded take on things, with a great number of the scheduled speakers promising to expound and expand on this basic issue. In fact, the upcoming summit likely even goes beyond other recent healthcare analytics conferences in terms of the breadth of presentations of this basic kind that are on the schedule.

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With every health organization facing its own challenges regarding resource allocation, cutting costs is itself a proven way of bettering health outcomes. As costs go down in particular parts of a system, the resources that are freed can always be redirected to other areas that are in need of them. While this indirect benefit is an important one, though, HAS16 sessions brings a lot more to the domain of outcomes, as well.

Topics of this equally important kind will therefore occupy much of the rest of the slate at the upcoming conference. While even measuring health outcomes in ways that are amenable to large-scale analysis can be fairly challenging, there are enough established procedures now known that real progress is being made. Whether in terms of particular health systems discovering how their own processes can be adjusted to encourage better outcomes or for researchers looking to root out conclusions at a larger scale, analytics is making a real difference in the lives of patients everywhere. Between these two basic thrusts, it is clear that summits of this kind will continue to have a lot to offer to anyone who has a stake in healthcare.

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