TEDMED: Include geo-medicine in EHRs

By: Brian Dolan | Oct 28, 2009        

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Bill Davenhall, ESRILiving a quantified life — tracking vital signs, recording exercise routines, monitoring caloric intake and counting steps — is a large and growing trend important to wireless health and fitness. Figuring out where that data goes, who analyzes it and whether it should become part of a health record, whether consumer-facing, clinician-facing or both, is an ongoing struggle. Are we in danger of overwhelming our caretakers and physicians with data? Perhaps, if it’s not analyzed and packaged in an actionable way.

At the TED MED conference here in San Diego this week, one presenter made the case for including more data into electronic health records. More patient data needs to be available to physicians for review during patient visits. Was the case made for vital sign tracking? Pedomter metrics? Calories eaten? Nope.

Bill Davenhall, who leads the health and human services marketing team at ESRI, made the case that adding environmental data to patients’ charts — places the patients lived, types of chemicals and particulates found in those locations’ air. Davenhall’s case rested on the hypothesis that living in some environments may predispose a person to certain diseases, so having a conversation about geography should be a part of a patient’s visit with their physician.

A friend of Davenhall’s allowed his location to be tracked every day for two years via his cell phone. Davenhall compiled the data and mapped his friends locations against those location’s environmental data — much of which is tracked by the National Institutes of Health. Davenhall noted that the government is tracking this data already — why isn’t is finding its way into our health conversations? Davenhall also believes that the mobile phone is the best place to track and monitor location for patients. He showed off a demo smartphone app that included air quality information as it might appear in an electronic health record.

Davenhall’s goal is obviously ambitious and forward-looking, but it seems like there’s a long road ahead for incorporating this kind of data into the patient-doctor relationship any time soon.

Here’s how Davenhall’s TED MED biography describes his current work: His “newest mission is creating intelligent geographic solutions and technologies that would help physicians improve their diagnostic capabilities by receiving geographically and environmentally relevant information at the time of a patient consultation.”

UPDATE: The Huffington Post’s Alana Kornfeld has an extensive write-up on Davenhall’s presentation — be sure to check it out for more details from the event.

  • http://www.wirelesslifesciences.org/2009/10/tedmed-include-geo-medicine-in-ehrs/ TEDMED: Include geo-medicine in EHRs | Wireless-Life Sciences Alliance

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  • http://articles.icmcc.org/2009/10/28/tedmed-include-geo-medicine-in-ehrs/ ICMCC News Page » TEDMED: Include geo-medicine in EHRs

    [...] Article Brian Dolan, mobihealthnews, 28 October 2009 SHARETHIS.addEntry({ title: "TEDMED: Include geo-medicine in EHRs", url: "http://articles.icmcc.org/2009/10/28/tedmed-include-geo-medicine-in-ehrs/" }); [...]

  • http://3gdoctor.wordpress.com David Doherty

    The problem I can see with location tracking is that the data can be mined to reveal details that patients may not be comfortable sharing with their health providers/insurers/mobile operators.

    For example location/time data points can be used to readily identify an individuals actual working hours, sexuality, illegal drug taking, frequency of visits to fast food retailers etc. etc.

  • http://mobihealthnews.com Brian Dolan

    True, but Davenhall’s slides showed location data from a high level — which towns and cities you spent time in — more so than where precisely in those cities you went.

    That said, a couple of attendees told me following the session that more relevant geographic data might be much more specific — what house did you grow up in — were the walls painted with lead paint, etc. Still, the macro-geographic data could be useful, especially for areas with known pollution and other environmental issues.

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