Datica Blog

Taming the Torrent of Patient Generated Healthcare Data

Laleh Hassibi

Vice President of Marketing

August 31, 2017   Innovation integration

We continue our conversations on the subject of healthcare innovation with an illuminative podcast interview with Aaron Neinstein, MD. UCSF’s Dr. Neinstein gives us a view into some of the promising technologies emerging to organize, digest, and analyze the massive amounts of patient-generated data we are quickly becoming inundated with. Neinstein also shares his ideas about what we can expect to see in the near future, as clinicians gain access to this data.

Dr. Aaron Neinstein is an Assistant Professor of Medicine at the University of California, San Francisco, as well as the Director of Clinical Informatics in the [UCSF Center for Digital Health Innovation](http://centerfordigitalhealthinnovation.org/). He is board-certified in Endocrinology, Clinical Informatics, and Internal Medicine. In addition to his UCSF clinical Endocrinology practice, he has helped lead the implementation of the Epic EHR at UCSF and many projects to improve clinical care and efficiency.
Aaron Neinstein, MD
Professor of Medicine, UCSF; Director of Clinical Informatics, UCSF Center for Digital Health Innovation

Here are a just few of the many ideas you’ll hear in Datica’s Healthcare Innovators Series Podcast, “Emerging Healthcare Data Challenges from Patient Centric Technologies.”

  • On openness to patient generated data: “A big thing is more incentives from the payors, so over the last two years, we’ve seen the introduction of the Medicare chronic care management codes which create the payment opportunity for use of patient-generated health data. What those codes do is allow you to bill on on a monthly ongoing basis for taking care of a patient who has two or more chronic diseases. You could theoretically have a nurse or someone else on your staff managing the patient remotely and be billing for that time.”

  • On other disease communities using diabetes as a model for technology and tech services: “One place in particular where we are seeing similarities to diabetes is with asthma. If you think about capturing the action and activity that a patient takes in the normal course of the day. That’s what we are talking about here; these are chronic diseases, where coming in for an office visit three or four times a year allows a narrow snapshot of what’s happening in somebody’s life. The reason we care about patient-generated health data is in theory because it gives us the opportunity to see what somebody is doing day-to-day, 24/7, 365 in the context of their life, and tweak their treatment regimen or change their behavior to improve the management of their chronic disease.”

  • On how EHRs fit into the future of patient-generated data: “I think one of the things that people don’t think about is how many different categories of patient-generated health data there actually are. If you break it down, you are talking about 7 or 8 categories of things that comprise what we now called PGHD.”

Subscribe to the podcast series or listen or our website to hear the whole informative interview with Dr. Neinstein.


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event-note July 31, 2017

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event-note February 21, 2017