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EtherCIS

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EtherCIS (Ethereal Clinical Information System) is an Open Source platform compatible with the openEHR standard. It is design to allow simple interactions with clients using RESTful API and persist clinical data in a separate DB engine. Clinical data are exchanged using different formats:

FLAT JSON: which is a flatten representation of access path along with the corresponding field value
Canonical XML: representing an openEHR composition in standard XML
For more details on data representation in openEHR see this page

ResearchStack

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ResearchStack is an SDK and UX framework for building research study apps on Android.

It is designed from the ground up to meet the requirements of most scientific research, including capturing participant consent, extensible input tasks, and the security and privacy needs necessary for IRB approval.

Is it similar to Apple's ResearchKit(TM)?

Yes, an overarching goal of ResearchStack is to help developers and researchers with existing apps on iOS more easily adapt those apps for Android.

ARX

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ARX is a comprehensive open source software for anonymizing sensitive personal data. It has been designed from the ground up to provide high scalability, ease of use and a tight integration of the many different aspects relevant to data anonymization. Its highlights include:

MediPi

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The MediPi Telehealth System is a simple implementation of a Telehealth patient/client system. It has been developed to be flexible and extensible.

SHIMMER

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Shimmer is free and open-source, so you can easily add your own integrations and audit existing ones. Not to mention, you can use it with any programming language.
Fast to deploy: Stop wasting time trying to get digital health data - quickly deploy Shimmer with a few commands both locally and in the cloud.

Linq

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Linq is built using the Open mHealth open API platform and enables patients to use the apps and devices they love and share their digital health data with their doctor. It gives clinicians access to patients’ data in a way that gives them maximum clinical value and insight — without having to worry about where the data is coming from. Linq is also designed to encourage intentional, collaborative tracking between patients and clinicians, focusing the use of digital health data towards supporting clinical decision-making.

Usagi

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Usagi is a software tool created by the Observational Health Data Sciences and Informatics (OHDSI) team and is used to help in the process of mapping codes from a source system into the standard terminologies stored in the Observational Medical Outcomes Partnership (OMOP) Vocabulary (http://www.ohdsi.org/data-standardization/vocabulary-resources/).

ACHILLES

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ACHILLES is a platform which enables the characterization, quality assessment and visualization of observational health databases. ACHILLES provides users with an interactive, exploratory framework to assess patient demographics, the prevalence of conditions, drugs and procedures, and to evaluate the distribution of values for clinical observations.

ACHILLES is intended to be implemented by organizations that have patient-level observational health databases available in their local environment.

Termserver CTS2

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The main function of a terminology server is the computer-aided representation/expostulation of medical terminologies as well as offering services to access them (completely or partially) and attribute based code systems.

The terminology server of the University of Applied Sciences and Arts Dortmund is a composition of several web services and provides a terminology browser to display and maintain the content.
A collaboration environment supports the development of terminologies in a team. Moreover a command line tool to import Code Systems and Values Sets is included.

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