Anyone who has been in the hospital in recent years has probably noticed how poorly the data is handled and managed. For example, patients have to repeatedly enter the same information about themselves and their medical history.
In addition, the information concerning health status, treatments and appointments is often inaccurate or missing.
The “bad data” epidemic is almost universal among health care providers and it’s been a serious problem for a long time. The bad data quality creates a serious challenge in getting to the emerging breakthrough benefits of “big data” analysis.
But that situation is changing rapidly.
Not surprisingly, the driving force behind the change is not the desire to raise the quality of patient outcomes. The major motivation is to deal with the rising pressure of cost efficiencies.
By far, compared with other major sectors, the costs of providing and receiving health care are exorbitantly high. And the quantity of data that must be collected (and accurately recorded/reported) is growing in volume. The data collection activities performed by professionals are “overhead costs” that leading-edge providers are now transferring to new devices and apps.
Which activities are being targeted for big data automation projects? It varies depending on the current state of an organization’s data, systems, processes, personnel and budgets. The first step is to perform an analysis of those factors.
Then, once the new systems have been implemented and cost-efficencies have been achieved, the collected “big data” can begin to be intelligently analyzed to create systems that provide better patient services, support and outcomes. And the Big Data from those systems will become the source to fuel the cycle of identifying game-changing information and continuously improving outcomes.
The time is almost upon us for comprehensive tracking and analysis of treatment results, genome screening therapies, disease outbreaks, preventative solutions, healthy lifestyle activities/approaches, diet and exercise programs and so much more.
To get your health care organization started on the path to becoming a Big Data success story, please contact us today.