app developers
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API Infrastructure Importance When Providing a Health Service
In my ongoing review of application programming interfaces (APIs) as a technical solution for offering rich and flexible services in health care, I recently ran into two companies who showed as much enthusiasm for their internal technologies behind the APIs as for the APIs themselves. APIs are no longer a novelty in health services, as they were just five years ago. As the field gets crowded, maintenance and performance take on more critical roles in offering a successful business–so let’s see how Orion Health and Mana Health back up their very different offerings...
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Interoperability Headaches in Fitness and Medical Devices
The promise of device data pervades the health care field. It’s
intrinsic to patient-centered medical homes, it beckons clinicians who are enamored with hopes for patient engagement, and it causes data analysts in health care to salivate. This promise also drives the data aggregation services offered by Validic and just recently, the Shimmer integration tool from Open mHealth. But according to David Haddad, Executive Director and Co-Founder of Open mHealth, devices resist attempts to yield up their data to programmers and automated tools.
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Open mHealth Popular Standard (Part 1)
If standards have not been universally adopted in the health care field, and are oftenimplemented incorrectly when adopted, the reason may simply be that good standards are hard to design. A recent study found that mobile health app developers would like to share data, but “Less progress has been made in enabling apps to connect and communicate with provider healthcare systems–a fundamental requirement for mHealth to realize its full value in healthcare management.”Open mHealth faced this challenge when they decided to provide a schema to represent the health data that app developers, research teams, and other individuals want to plug into useful applications. This article is about how they mined the health community for good design decisions and decided what necessary trade-offs to make.
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Open mHealth Popular Standard (Part 2)
Normally, one wants to break information down into chunks as small as possible. Bydoing this, you allow data holders to minimize the amount of data they need to send data users, and data users are free to scrutinize individual items or combine them any way they want. But some values in health need to be chunked together. When someone requests blood pressure, both the systolic and diastolic measures should be sent. The time zone should go with the time. On the other hand, mHealth doesn’t need combinations of information that are common in medical settings. For instance, a dose may be interesting to know, but you don’t need the prescribing doctor, when the prescription was written, etc. On the other hand, some app developers have asked the prescription to include the number of refills remaining, so the app can issue reminders.
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The ‘privacy by design’ approach for mobile apps: why it is not enough
The mobile apps installed on our smartphones are one of the biggest threats to our digital privacy. They are capable of collecting vast amounts of personal data, often highly sensitive. The consent model on which privacy laws are based doesn’t work. App users remain concerned about privacy, as a recent survey shows, but they still aren’t very good at protecting it. They may lack the technical know-how or the time to review privacy terms, or they may lack the willpower to resist the lure of trending apps and personalized in-app offers...
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