Archive for November, 2013

Good patient data is not always meaningful patient data

I’ve been thinking recently about some of the newer sources of health data, namely patient-generated data. My working headline is something like “Good patient data is not always meaningful patient data.”

mobile3I have the distinct sense that our rapt attention to mobile devices, mobile health, patient data, patient-generated data, etc. is all really exciting for those of us who are in technology because we love the idea of sensors and capturing data that could never be captured before and building massive databases and doing all this great regression analysis on it to look for tipping points and trends and turning it into cool graphical reports. It’s fun and exciting and sexy!

But patient-generated data often breaks down when it meets the physician. And here’s why.

There’s a tidal wave of patient generated data from apps and devices that is only increasing. When you read stats about how many tens of thousands of medical health apps there are in the Apple Store and how new devices are being launched every other week, it leads to a deluge of patient data.

Data from patient apps and devices – activity level, heart rate, blood glucose, etc. – is all “structured” within its environment, that’s good, but it’s not interoperable with any other data. This means that the data is seldom integrated with any electronic medical records system (EMR) at the physician level. That’s a problem for doctors wanting (required) to leverage these systems to interact with their patients.

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