Georgia Tech Tool Suite

Georgia Tech Research Institute serves as an active member of the open-source community, providing health care solutions to encourage interoperability, innovation, and research.

Electronic Lab Report (ELR) to FHIR

This is a tool that maps Electronic Lab Report (ELR) to Fast Healthcare Interoperability Resources (FHIR). It can be used for lab report data, however, it was created with toxicology lab Reports in mind.

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Concept Translation Service (in FHIR Operations API)

Concept Translation Service is an FHIR Operations (Application Programmable Interface, API) that can be used for code or value set translations for systems that are using non-standard coding system(s).

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Clarity NLP

ClarityNLP is an “interoperable Natural Language Processing (NLP)” platform developed to streamline the analysis of unstructured clinical text. The platform accelerates the review of medical charts to extract data and identify patients for a wide variety of purposes, including research, clinical care, and quality metrics. ClarityNLP combines NLP techniques and libraries with a powerful query language, NLPQL, that lets you create and deploy NLP jobs quickly without a lot of custom configuration.

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SmartChart is a SMART-on-FHIR application designed to automate clinical chart review and reporting, using NLP (ClarityNLP) and FHIR (with CQL).

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FHIR Filter

Fast Healthcare Interoperability Resources (FHIR) Filter can be used if we want to redact any portion of data in FHIR. It is good to use with electronic health record (EHR) data retrievals.

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OMOP-on-FHIR server is a Georgia Tech Fast Healthcare Interoperability Resources (FHIR) project that allows users to build a FHIR resource on Observational Medical Outcomes Partnership (OMOP) common data model (CDM). It is built on top of Hapi Fhir libraries. Currently, OMOP-on-FHIR supports DSTU2 and STU3.

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You can add SMART capabilities to the power of OMOP-on-FHIR for additional functionality, such as EHR application development and OAuth2 Security. SMART on FHIR capability in the OMOP-on-FHIR server is also available in the RAVEN FHIR Server.

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This is a proof of concept platform that is based on the Open Mobile Health (OmH) implementation guide. It helps pull health data from popular third-party APIs like Google Fit, FitBit, and Apple iHealth via a FHIR SMART client either in the native OmH schema format or as FHIR resources (typically FHIR Observations) using the OmH Shimmer application and “Open mHealth to FHIR” server.

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PACER is a stand-alone deployment service-stack designed to help FHIR Health Record Providers manage access to their data and facilitate automatic report submission to external sources. PACER exists as a set of microservices that live within the same network as the FHIR provider. There are two components in the PACER platform, PACER-server and PACER-client. PACER-server is designed to be deployed in the health provider system network and controlled by the provider IT. PACER-client is deployed in the public health department network and controlled by the health department IT.

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RAVEN platform provides reference implementation and testing tools for the interoperability between a case management system (CMS) and an electronic death registration system (EDRS). RAVEN FHIR server stores and manages MDI data in FHIR. More details are available in the raven-fhir-server repository. RAVEN Mapper API constructs MDI data in FHIR from a pre-defined CSV file. More details are available in the raven-mapper-api repository.

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Georgia Tech – Health Emerging and Advanced Technologies