Putting Health Care Data To Good Use

There is big data in healthcare collected every day, everywhere, from everybody. You have filled out information on forms about your health, your parents’ health, your siblings’ health, and your children’s health. You have provided a full medical history, indicated surgeries, detailed conditions, and included every medication you have ever taken. What is done with all the big data healthcare facilities collect? That answer depends on the systems and tools the facility has to analyze that data. Some hospitals, nursing homes, clinics, practitioners, and rehabilitation centers take their Health Catalyst and store it in a data base. They use it to develop reports for billing purposes, inspections, and to indicate quality of care.

Those facilities are not using the data for any real benefit. The big deal with big data in healthcare is supposed to be about putting it to good use. All that information can be used to improve health care services, reduce the overall costs of health care, and increase customer satisfaction of health care outcomes. The data has to be managed properly for it to be useful. Facilities need integrated data warehouses and several analytical applications to fully utilize the data. Collecting the data is not enough. You need to be able to access it, analyze it, and use it to target populations for interventions. It is at that point that data is useful for healthcare facilities.

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Foundation applications allow the data to be accessed quickly and easily. Dashboards, near real-time reports, and registries, are implemented to encourage the use of the data warehouse across departments. Discovery applications are installed to help users identify trends within the data and implement interventions that will reduce costs. Getting a patient who is borderline diabetic into classes about lowering blood sugar, through diet and exercise, is a cost-effective intervention. Treating uncontrolled diabetes with oral medications and insulin, is much more expensive. Advanced analytical applications allow clinicians and administrators to make improvements in service delivery based on data collected regarding re-admissions. Advanced applications can help with workflow scheduling, prevention of patient injury, and increasing the overall quality of care.

The installation of the late-binding data warehouse, the utilization of three types of analytical applications, and comprehensive training will help your facility put all your data to good use. You will see a positive return on your investment within the first six months of the kickoff of the system. A full return on investment is typically realized with 36 months, with continued training, support, and the installation of up to ten advanced applications per year.

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