Links to Software
Date First Released
Links to Software overviews, demonstrations, impact stories and implementations.
|Open Client Registry (OpenCR) is an open source and standards-based client registry. Client registries use sophisticated record linkage processes to uniquely identify patients across multiple health information systems in facilities, pharmacies, lab systems, and elsewhere. As a critical component of an interoperable health information exchange (HIE), it allows patients to be tracked across facilities and decreases instances of duplicate and incomplete records, as well as interruptions in treatment. It is a necessary tool in public health to help manage patient safety and care coordination, monitoring, reporting, surveillance, and medical research. |
|Client Registry||OpenEMPI - Website|
Open Enterprise Master Patient Index (OpenEMPI) is an open source implementation of an Enterprise Master Patient (EMPI) which is a repository that maintains a registry of all patients across an enterprise. An EMPI provides many benefits including:
- Maintains a central registry of all patients and their demographics, assigning a unique identifier to each patient
- Eliminates duplicate patient registration entries that result due to changes in patient demographics (patient moved to another location), data entry errors during patient registration, or missing demographic information.
- Provides record locator service by enabling physicians across the enterprise to identify which health care providers a patient has visited
|Client Registry||Sante Suite Master Patient Index||Website||SanteMPI allows implementers to easily customize and reuse components to construct use-case and jurisdiction specific dashboards for patients, facilities, providers, etc.|
Shared Health Record
HAPI FHIR Google Group
|HAPI FHIR is a complete implementation of the HL7 FHIR standard for healthcare interoperability in Java. We are an open community developing software licensed under the business-friendly Apache Software License 2.0. HAPI FHIR is a product of Smile CDR.||Test Server|
|Shared Health Record|
NEW REFERENCE TOOL INVESTIGATION UNDERWAY
Healthsites Github repo
The Global Healthsites Mapping Project is building a global commons of health facility data by making OpenStreetMap useful to the medical community and humanitarian sector. This open data approach invites organizations to share health facility data and collaborate to establish an accessible global baseline of health facility data. The project supports individual facility updates and publishes national lists of downloadable health facility data in accessible formats (GEOJSON CSV SHP). The API allows regional analysis and publishes a signature domain and service domain for each facility.
|Facility Registry ||https://github.com/intrahealth/gofr|
Global Open Facility Registry (GOFR)
GOFR is a comprehensive FHIR-compliant platform for managing MFLs and other lists of facilities. It also provides a powerful reconciliation tool to de-duplicate and reconcile. GOFR can pull facility data from multiple data sources and is interoperable with DHIS2, iHRIS, and any FHIR server. It speeds up and improves the accuracy of developing and maintaining canonical lists of facilities for information systems and applications.
|Facility Registry||Resource Map||Resource Map is an open-source tool free to use in the cloud or locally installed, that helps you make better decisions by giving you insight into the location and distribution of your physical infrastructure. With Resource Map, you and your team can collaboratively record, track, and analyze resources at a glance using a live map.|
Health Management Information Systems
|DHIS2 - GitHub||District Health Information Software (DHIS) is a highly flexible, open-source health management information system and data warehouse. DHIS provides routine data, semi-permanent data (staffing, equipment, infrastructure, population estimates), survey/audit data, and certain types of case-based or patient-based data (for instance disease notification or patient satisfaction surveys).||Demo|
|Health Financing Information Management||openIMIS||openIMIS is an adaptable open-source software tool for the digitalisation and efficient management of health financing workflows. Currently being used to manage a variety of health protection schemes, openIMIS offers seamless connections between beneficiaries, health service providers and payers.|
|Health Worker Registry|
Open Source Human Resource Infomation System (iHRIS) is an open-source software that supplies health-sector leaders with information to track, manage, and plan the health workforce. iHRIS captures high-quality data on health worker numbers, skills, qualifications, locations, and more.
OpenHIM - GitHub
|Open Health Information Mediator (OpenHIM) is a middleware system that aims to enable easier interoperability between disparate health information systems; essentially this piece of software allows difference systems to talk to each other and exchange information.|
OpenInfoMan is XQuery and RESTXQ based implementation of the Care Services Discovery (CSD) profile from IHE which implements the following actors and transactions:
Info Manager : Find Matching Services (Ad-Hoc and Stored) [ITI-73]
Query for Updated Services Transaction [ITI-74]
Services Directory : Query for Updated Services Transaction [ITI-74]
OpenInfoMan has been developed as part of OpenHIE and is intended to be the engine behind the CSD compliant Health Worker Registry and to be incorporated in OpenHIM.
|Interoperability Layer, Workflow/Automation Engine|
OpenFn Integration Toolkit
The OpenFn Integration Toolkit is a suite of open-source technologies that are used to integrate systems and automate business processes via interoperability and secure data transfer/manipulation rules called "jobs". From simple audit-trail generation to complex, multi-step process chains or workflows, OpenFn can both coordinate and translate communications between all the tools in a federated health information systems architecture.
The toolkit has been in use since 2015 and includes OpenFn core, engine, devtools, microservice, and more than 60 different adaptors (connectors for commonly used APIs in public health, from CommCare to DHIS2 to OpenMRS) as well as OpenFn Lightning.
Lightning, currently in alpha, brings together all of these components to provide users with a secure, user-friendly, and fully open-source web application to build, run and monitor/audit their workflows all in one place.
N.B. OpenFn.org also provides an enterprise integration platform-as-as-service (with a free tier) for users that do not have the in-house devops and IT-security capacity to self-host. Implementations are portable, and can be shifted between SaaS and open source variants at any time.
|Interoperability Service||Entity Matching Service||The purpose of the Entity Matching Service is to enable matching in a single list of patients, health workers, facilities or other entities or to find potential matches between two lists of the same entities.|
CommCare allows you to build custom solutions without compromising on the unique needs of your team.Whether you’re evaluating a program or supporting frontline workers, CommCare can help.
CommCare allows you to:
- Track data
- Work offline
- Empower end-users
- Start small and scale
|Point-of-Service (Electronic Medical Record)|
OpenMRS - GitHub
Download from Website
Product Dashboard (links to evolving initiatives' repos)
|Open Medical Record System (OpenMRS) is a collaborative open-source project to develop software to support the delivery of health care in developing countries. OpenMRS provides an electronic medical record platform that allows a number of add-on modules to help OpenMRS function better for you.||Global Goods Demo|
|Point-of-ServiceBiometric Identity Management||Website|
The Simprints solution empowers organizations with the tools to overcome data challenges to: reach more beneficiaries, overcome data challenges, and create greater impact.
We integrate biometrics into your existing mobile tools and workflow
By streamlining the Simprints system integration and operations, our tools help frontline workers focus on what matters most: delivering essential services for impact.
|Point-of-Service (Laboratory Information System)||SENAITE |
SENAITE is an Open Source and web-based Laboratory Information Management System (LIMS) for enterprise environments, especially focused to behave with excellent performance and stability. The complexity and power of the LIMS works under a modern, intuitive and friendly UI that displays only the data you want to need to see.
SENAITE is the brand for a group of Open Source solutions and the community supporting it. SENAITE includes the development of open source web-based LIMS applications and extensions, each geared towards different types of laboratories.
|Point-of-Service (Laboratory Information System)||OpenELIS Global - GitHub||OpenELIS (Open Enterprise Laboratory Information System) is an advanced laboratory information system based upon the APHL (Association of Public Health Labs) guidelines for best laboratory practice and accreditation in resource-limited settings. The OpenELIS Global software serves as both a business process framework and a technical solution for managing and connecting laboratory data across devices and systems for clinical and secondary use. It is built on open source web-based technologies, and uses international standards for terminology and data exchanges.||Demo|
|Product Catalog (aka Registry)||Product Catalog Management Tool (PCMT), or simply Product Catalog|
|PCMT is an open-source product catalog management system that aims to connect product catalogs in order to show a clear journey from manufacturer to patient. It establishes master data that includes GS1 identifiers, global categories, and mappings to local identifiers. This enables end-to-end visibility, allows shipments to flow between systems, and helps supply chains perform.|
|Terminology Services||DTS Web site with Links to software|
Distributed Terminology System (DTS) is an integrated set of open source components that provides comprehensive terminology services in distributed application environments, DTS interfaces implement all OHIE Terminology Services workflows and are FHIR-compliant with R4B. DTS provides access to national and international data standards, which are a necessary foundation for comparable and interoperable health information, as well as local vocabularies and mappings. Typical applications for DTS include clinical data entry, administrative review, problem list, value set, and code set management, guideline creation, decision support, and information retrieval.
|Terminology Management Service|
OCL Terminology Service GitHub Repository
Terminology Service in OCL Online
OpenHIE Metadata Clearinghouse
|OCL is an open-source terminology management system that operates in the cloud. A centrally hosted instance is hosted by the OpenHIE and OpenMRS communities and is available here: openconceptlab.org||Demo|
|Logistics Management System|
OpenLMIS is a powerful, open source, cloud-based electronic logistics management information system (LMIS) purpose-built to manage health commodity supply chains
|Library to Create Synthetic Personal Demographic data||Duplicate Generator||GitHub|
The Duplicate generator is a libray to create synthetic personal demographic data such as given name, surname, date of birth and sex and introduce duplicates of those records with errors. Those data can be used to test or evaluate record linkage and deduplication algorithm.
This project is a fork and an udpated version of the Freely Extensible Biomedical Record Linkage (FEBRL) dataset generator developed by Agus Pudjijono and Peter Christen in December 2008. For more detailed description please consult the website of the AUSTRALIAN NATIONAL UNIVERSITY(ANU) Department of Computer Science or see the paper: Accurate Synthetic Generation of Realistic Personal Information.
In this version we upgraded the initial code to python 3.6 , added pandas, argparse and numpy, decoupled the configuration from the code and re-designed the library api to make it easy and simple to generate a customizable synthetic duplicate personal dataset.