population health management

Smart health data managment, for example, will expose this information to highly productive analysis.

For all of the responsibilities placed on it, the healthcare industry has a notable history of disorganization and inefficiency. For many years, even long after other industries had moved on to digital record-keeping, paper records remained the norm in health care. Beset with conservatism and inertia, the industry failed, for decades, to benefit from the undeniable advantages of digital records.

That is now, thankfully, beginning to change. Largely because of incentives built into the nation's Medicare system, health care systems all across the country are making the transition to digital record keeping and doing it quickly. Because these bonuses are often the primary motivation, though, many of them are evolving toward this admirable goal in ways that might ultimately miss the point.

While qualifying for those incentives can certainly be a productive part of any such initiative, it is important that those responsible for managing one also set their sights on longer-term goals. High-quality digital clinical data management has a lot more to offer to health care systems than some singular bonuses, so these other advantages should be the real focus.


Smart population health management solutions, for example, will expose this information to highly productive analysis. Properly stored and maintained, digital health data can be used to draw useful conclusions about whole health populations. These conclusions themselves can pave the way for thorough going, important transformations of the organizations they relate to.

Clinical data management can deliver a lot more than some Medicare-issued incentives, then. It can also help to cut costs in a time when soaring expenses are a prime concern, and it can help to improve patient outcomes, as well. Properly executed data management can even shed light on relatively mundane matters like supply waste and lossage, revealing opportunities for improvement that would otherwise go unnoticed.

This means that even those healthcare data management projects that are set into motion by the desire to secure more Medicare funding will benefit greatly from looking deeper into the matter. While the scattered paper records of days past might have served a certain purpose, their limitations should not be taken as inherent to health care data generally.


Instead, more modern and focused data management approaches are capable of producing results that would previously have been inconceivable. Far from being only a way of producing short term benefits, then, these efforts should be viewed as the first steps toward a more capable and efficient future for every healthcare organization.

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