Nt1310 Unit 3 Data Analysis In Healthcare

The healthcare industry generates a great amount of data every day, as a form of record keeping, patient care, compliance, and regulatory requirements. Just a decade ago, all this data was stored in the form of hard copy form, now it is rapidly transforming to digital data which is called EMR (Electronic Medical Record). The digitalization of the healthcare has not just reduced cost of care, but also improved quality of care due to the abundance data that organizations receive from the EMR to identify the flaws in their system. I work in the healthcare industry where improving quality of care is our primary goal. We use software called eCW , which is an integrated system. Physicians, nurses, billers, coders, schedulers, referral specialists, and administration work on it together. It produces internal reports and external reports. I usually deal with internal reporting. Data analytics comprise 25% of my work load. Below is some of my work that requires data analytics to improve healthcare quality and revenue cycle.

We must filter and customize that downloaded data for the health conditions that we primarily try to improve. Once data is customized and filtered properly, it gives us “care gaps”. Those care gaps can be easily closed out by accessing patient’s EMR or by referral. This updated data then gets uploaded back to the healthcare insurance company data set for reporting purpose. Data analytics helps health profession close the care gaps and improv care coordination between