Our own sandy beach. #pdx #laboring #bikeventures, via Instagram http://ift.tt/1nogGdW View high resolution

Our own sandy beach. #pdx #laboring #bikeventures, via Instagram http://ift.tt/1nogGdW

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Doesn’t get old, via Instagram http://ift.tt/1u9YQjO View high resolution

Doesn’t get old, via Instagram http://ift.tt/1u9YQjO

Tags: instagram

— The Decemberists

I’ve not listened to the Decembrists before. Good stuff! Glad I am caught up.

Tags: music spotify

Healthcare and Standards and FHIR

I am not sure that standards (like HL7, DICOM) are very necessary or relevant in the connected health world. Think about this way - HL7 and DICOM were standardized improvements over then-current adhoc, non-standard network communications approaches.

Most of the connected health devices I know use very simple to implement HTTPS-based APIs. With such approaches to connectivity, standardization (in the sense of DICOM) is not only necessary, but it’s counter-productive. Having worked w/ DICOM for a few years, its standardization leads you into a posture where you think all systems are compliant, but you can still see incompatible approaches to DICOM (especially CDs and newer additions to the spec, like DICOM GSPS). HL7 is even worse (the common joke is write once, run once :) !

So, having disparate HTTPS APIs feeding the system is not only easier to implement, but allows for simple architectural approaches (instead of using lower-level protocols like MLLP or binary protocols like DICOM) that can be reused to implement all sorts of integrations (connecting to FitBit to get data isn’t much different than connecting to Nike to get their data).

We’re finally entering the era of API-driven healthcare development, away from integration engine-driven development that’s been the reality in healthcare for the last few decades. As a matter of fact, all you have to look at is FHIR. This is the future of healthcare communication, and the future of HL7.

Tags: hl7 fhir dicom HealthIT healthcare

Connected Health

There is a lot of activity in the connected health area, especially around patient generated data. Things like home blood pressure monitors, scales and blood glucose meters sending data to the treating institution. The issue is that existing EHR systems are ill-equipped for this.

First, the interfaces to these connected health systems are diverse, and not all of them speak HL7. Even if they did, the cost to create new interfaces is prohibitive for small organizations.

Second, there is a debate about veracity of the patient generated data, and its impact on treatment.

The first is a legacy technology problem — and a huge opportunity for disruptors. The second is a policy issue and will be tougher to work out. Once it is worked out, however, there will be a veritable deluge on hardware/software to monitor patient populations — especially at risk and high-utilizers, like diabetes, prenatal, obese. Exciting times!

Tags: HealthIT


Work hard and achieve !  #Success  #HardWork #WillSmithhttp://click-to-read-mo.re/p/5E8P View high resolution


Work hard and achieve ! #Success  #HardWork #WillSmith


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Code offsite, via Instagram http://ift.tt/1eVaSmA View high resolution

Code offsite, via Instagram http://ift.tt/1eVaSmA

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