Tag: EHR Data

16 Apr 2016

If patient care was like flying a plane…

blog_flyingaplane

If patient care was like flying a plane, a plane was an EHR and a doctor was its pilot…

…the doctor would be alerted before patients fell sick

…the EHR would be reliable enough to be trusted to treat a patient under guidance

…there would be control towers that actually understood what other EHRs were saying

…the doctor and her assistant wouldn’t differentiate between treating one or a few hundred patients at a time

…patient care would be dynamic, not episodic and stuttered

…care wouldn’t be tied to one region or one country, it would be global

…medicine would be as precise a data science as flying

*

Several operating models exist in other high-risk industries…waiting to be borrowed.

09 Apr 2016

5 insights from your EHR data

Statistics show that over 50 percent of all medical facilities have successfully transitioned towards implementing an electronic health record system. While implementing EHR may mean streamlining operations and going paperless, the process tends to become mechanical and many look at it as mere data entry over time.

Practices are unaware of the enormous amount of data they produce every day. Capturing vitals, physical exams, systems reviews and checking/prescribing medications are all forms of generating data. Typically, an EHR is an archive of data which, if used to its potential, can lead to interesting insights.

Here are five insights you can acquire with your generated data:

1. Population breakdown: The analysis of patient type that forms your patient pool. It is the means for distinguishing your patients as per gender and age. Mapping your patients against their corresponding BMI values helps to track how healthy (or unhealthy) your patients are.
2. Diagnosis chart: The top 10 diagnosis among patient population. This will help determine the most and the least occurring conditions.
3. Condition number: The number for patients who have less than or more than two medical conditions.
4. Drug report: A report of the top drugs prescribed by you and the drugs that required the most substitution.
5. Risk profiles: Maintaining risk profiles of your patient population and sorting patients based on low, medium and high risk profiles. The patients falling in the high risk pool may need a more personalized medical approach.

Healthcare organizations are pushing towards risk-sharing payment models where reimbursements are tied to quality of care instead to quantity. By adopting EHRs, we may just be scratching the surface of something bigger in the years to come. Technology will continue playing a greater role and having analytical insights will empower precise medical judgments.

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