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SORMAS

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SORMAS (Surveillance, Outbreak Response Management and Analysis System) is an open source early warning and management system aimed at preventing or keeping the spread of dangerous infectious diseases at bay. It is used by healthcare workers, epidemiologists or other instructed personnel to gather detailed information about potential or confirmed cases of one of the diseases covered by SORMAS. This, for example, includes data about the symptoms they are showing, their travel history, the contacts they had with other humans or animals, attended gatherings, and a lot more.

Medkey

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Hospital Information System Medkey - modern multipurpose solution which aim is to solve medical organization's needs in Electronic Health Record (EHR), practice management automation, medical billing and accounting and patient engagement (CRM).
Medkey has modular and service oriented architecture. Box application can be extended using modules and plugins.

OpenLMIS

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Public health supply chains need accurate, timely logistics data from health facilities to make decisions about procurement and supply. Too often this information is inaccurate or simply not available. As a result, health systems in many countries continue to experience stockouts of essential medicines, leaving people vulnerable to treatable illness and diseases.

SPARK

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Spark is a public domain FHIR server developed in C#, initially built by Firely and as of recently being maintained by Kufu.
Spark implements a major part of the FHIR specification and has been used and tested during several HL7 WGM Connectathons.

EtherCIS

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Clinical Data Repository
Healthcare is Information Intensive - Data: Information: Knowledge
21st Century Healthcare is under pressure, around the globe.
We need to work smarter not harder – to survive, yet alone thrive.
Currently Health IT is holding healthcare back.
We must raise our game in this information intensive field

PulseTile

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PulseTile UX/UI framework supports patients and professionals in the complex and busy clinical setting.
PulseTile combines a range of features for intuitive ease of use. It provides key information with the fewest possible clicks!
With a strong set of important clinical features, the PulseTile framework is underpinned by a range of robust technical features too. This tool is aimed to support the clinician as well as the broader healthcare enterprise.

OpenAutism Health Picture

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OpenAutism Health Picture is a beautiful and actionable visual representation of an Autism Spectrum Disorder (ASD) patient's health status, designed to increase awareness of the individual factors that can affect health.

Project Objective
Design an open source “picture” (set of services and visualizations) of an ASD patient that is accurate, timely, helpful, longitudinal, always-updating, includes life data, and informs patients and their care team of their ever-changing health status, care plan evolution, needed behavior changes, and next steps.

OSEHRA VistA

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OSEHRA VistA is a set of software components designed to support open source EHR solutions based upon the award-winning VistA EHR developed by the US Department of Veterans Affairs. OSEHRA VistA is not intended as a complete EHR solution, but as a baseline of open source community code that will strengthen all VistA-based EHR implementations and accelerate community innovation. OSEHRA VistA consists of FOIA VistA, with redacted code replaced to ensure functionality, plus added innovations and established, OSEHRA-certified software from the community.

PatientExploreR

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PatientExploreR interfaces with a relational database of EHR data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). This application produces patient-level interactive and dynamic reports and visualization of clinical data, without requiring programming skills.

The Spatiotemporal Epidemiological Modeler (STEM) Project

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The Spatiotemporal Epidemiological Modeler (STEM) tool is designed to help scientists and public health officials create and use spatial and temporal models of emerging infectious diseases. These models can aid in understanding and potentially preventing the spread of such diseases.

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