Synthetic Patient Generation SyntheaTM is an open-source, synthetic patient generator that models the medical history of synthetic patients. Our mission is to provide high-quality, synthetic, realistic but not real, patient data and associated health records covering every aspect of healthcare. The resulting data is free from cost, privacy, and security restrictions, enabling research with Health IT data that is otherwise legally or practically unavailable. Academic Research The models used to generate synthetic patients are informed by numerous academic publications.
NextGen® Connect Integration Engine The ability to standardize and exchange health information and patient data is critical for healthcare organizations. NextGen Connect (formerly Mirth Connect) has been powering healthcare organizations for more than a decade. Designed for seamless healthcare message integration, this solution is easily configurable, easily deployed, and scalable. Features That Let You Focus on What Matters Most: Open source community resources Save time and money when you “do it yourself” using the project management tool Jira; the GitHub repository, which provides open source Connect files/directories; the revision-control source code repository browser Fisheye; and the Connect Open Source Forum.
Spark is Furore's public domain FHIR® server build in C#.Spark implements a major part of the FHIR® specification and has been used and tested during the past HL7 WGM Connectathons. Furore and the community, will keep enhancing this server to support the latest versions and add functionality, but we welcome who wants to support this effort and help us make Spark a better reference platform and playground for FHIR®.DSTU-1The source code in the branch dstu1/master is up-to-date with the version of Spark running at .
Crucible is a suite of open source testing tools for HL7® FHIR®. It is provided as a free service to the FHIR development community to help promote correct FHIR implementations. It currently can test for conformance to the FHIR standard, score patient records for completeness, and generate synthetic patient data. We are actively seeking contributors. Visit our github page for more information. Test FHIR Conformance Crucible provides a comprehensive testing capability for FHIR DSTU2, STU3 and R4.
Simplifer.net is the leading HL7 FHIR registry and the most obvious place to start your FHIR project. The goal of Simplifier.net is to enhance interoperability by providing one entry to all open and available FHIR profiles in the registry. Use the search engine on Simplifier.net to find similar work by others. From the source Firely has been involved in FHIR since its inception. We use this experience to build and provide FHIR training courses.
Forge is the official HL7®FHIR® profile editor. Tailoring the FHIR specification to a specific use-case is an important aspect of the FHIR standard. This process is also known as profiling. While the FHIR spec targets all countries and all use cases, profiling allows you to define local use of FHIR. Away with Excel and XML Back in the day we used Excel or XML editors for this purpose, but these tools turned out to be insufficient for advanced use cases and a broad audience of modelers.
FHIR® Fast Healthcare Interoperability Resources is a next generation standards framework created by HL7. It is used for transfer of clinical and administrative data between software applications used is by various healthcare providers.In this repository, you will find templates for setting up FHIR® servers from Firely and HAPI FHIR®.Firely has the open source Spark server, which supports Draft Standard for Trial Use 2 (DSTU2) and they also have a commercial server called vonk, which supports Standard for Trial Use 3 (STU3).
Dispensed medication histories, which are widely available in real time, are useful for alerting providers about poorly adherent patients and those who will be non-adherent several months later. The Medication Possession Ratio (MPR) monitor application uses an algorithm developed at Boston Children's Hospital to predict poor medication adherence based on the patient's prescription and fill history.
Iris Chatbot enables a patient to schedule a doctor's appointment and order medication refills from within Facebook Messenger or iMessage. Appointments, Med Refills from your Favorite Messaging App using FHIR®. People use messaging apps like Facebook Messenger and iMessage on a daily (constant?) basis, much, much more compared to email or using a separate mobile app (or patient portal) specific to a hospital or pharmacy. We believe patients are much more engaged with their care provider if they can perform basic administrative tasks (scheduling, ordering medications, or viewing lab results) from within their mobile messaging apps that they already use heavily every day.
Based upon the 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk and their Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults, this application allows users to estimate a 10-year and/or lifetime risk score for atherosclerotic cardiovascular disease (ASCVD). These scores are estimated based upon Pooled Cohort Equations and lifetime risk prediction tools. The application presents relevant patient vitals and labs that factor into the estimated score(s), with a user-friendly display of current and lowest possible risks in a bar-graph setting.