Hamilton (HL10): Patient Controlled and Contributed Health Record using OpenMRS

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Patient Controlled and Contributed Health Record

Patient Controlled and Contributed Health Record (PCCHR) is an openMRS module that allows patients to login to the system and enter self-monitored healthcare data. Patients can give access to their circle of care. Clinicians can login and view their patient data just like any other EMR. PCCHR has a uniform data model for all health data that would allow devices such as mobile phones and sensors to feed data as well. The reference implementation has a PhoneGap application that can be used to send data. A Windows 10 App with Cortana integration for voice recognition is also planned. PCCHR is an open-source project that needs your help to reach our goal. Experience in OpenMRS platform, ReactJS, d3js, hGraph, Ionic, Universal Windows Platform (UWP) apps, Python or Raspberry Pi would be useful. Even if you are not a programmer, you can help us with testing, designing and documentation. Please watch the video below to see the current state of this project. You can download the poster presented at the  Healthy Communities Health Fair – Hamilton, here.


Poster presented at Healthy Communities Health Fair – Hamilton:

Behaviour Intervention Technologies (BIT) support positive behavioural changes and cognitions related to health. Psychological theories such as social cognitive theory and theory of planned behaviour provide the theoretical basis for BITs. eHealth and mHealth applications are crucial in BITs for recording and visualising physiological and behavioural parameters such as blood pressure and smoking pattern. mHealth helps in delivering behavioural interventions in the form of alerts and tailored messages.

The number of behavioural intervention technology apps have grown exponentially over the last few years. However, the inability of various proprietary apps ‘to talk to each other’ has made matters worse for the user as they have to use multiple apps; and for designers to design multidimensional interventions. For example, a diabetic patient may have to use different apps to monitor blood pressure, blood glucose, cholesterol, daily activity and smoking. The use of several apps will not ensure an intervention that takes all these factors into consideration. Though there are proprietary initiatives such as Apple HealthKit, a universal standard to enable interoperability is lacking.

Mohr et-al proposed a BIT model based on the sense-plan-act paradigm from robotics. Most BITs have three conceptual components: A ‘profiler’ component for recording physiological and behavioural parameters, a ‘planner’ component to design an intervention and an ‘actor’ component to deliver the intervention. HL10 is an attempt to take this model to the level of a software framework for the modular design of any BIT.

HL10 tries to propose a standard data model for each of the components described above that can be used to represent any self-monitored health data. HL10 further aims to propose a reference software framework that can be easily extended to support a variety of use cases. The framework will support privacy by design and EMR connectivity.

Because of the modular design and the uniform data model, any BIT that confirms to HL10 can talk to each other. The uniform data model allows sensors to communicate directly with HL10 framework. HL10 is work in progress and seeks the support and guidance from the eHealth community. The current proposal for the general data model is available on this wiki. A reference back end application is currently under development as a module for OpenMRS, the popular extensible open-source EMR platform, and is available on GitHub. The EMR backend allows patient self-monitoring using the concept of Patient Controlled and Contributed Health Record (PCCHR). The mobile frontend will be implemented using Apache-Phonegap.

Patient Controlled and Contributed Health RecordAvailability:
The data model for Patient Controlled and Contributed Health Record is available on the wiki under creative commons, share-alike licence for further refinement. We request the open-source community to share any reference implementation on our GitHub repository: http://github.com/E-Health

Cite this article as: Eapen BR. (February 21, 2016). NuChange – Hamilton (HL10): Patient Controlled and Contributed Health Record using OpenMRS. Retrieved [Date], from http://nuchange.ca/pcchr

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Bell Eapen

A dermatologist and an eHealth expert with expertise in Healthcare analytics, mHealth, health information exchange, benefits evaluation research, change management, and population informatics.[Resume]
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