EGADSS (Evidence-based Guideline and Decision Support System) is an open source tool that is designed to work in conjunction with primary care Electronic Medical Record (EMR) systems to provide patient specific point of care reminders in order to aid physicians provide high quality care. EGADSS is designed as a stand alone system that would respond to requests from existing Electronic Medical Records such as Wolf, Med Access, and MedOffIS to provide patient specific clinical guidance based on its internal collection of guidelines.
iDART is a software solution designed to support the dispensing of ARV drugs in the public health care sector. It supports pharmacists in their important role of dispensing accurately to an increasing number of patients whilst still being able to engage and assist the patient.
The main goal of the Computer Assisted Search for Epidemics (CASE) project is to develop a reliable system that generates warnings when the number of reported cases of a particular infectious disease reaches a level that indicates an unusual or unexpected rate. The system is currently in use at the Swedish Institute for Infectious Disease Control (SMI). It performs daily surveillance using data obtained from the database to which all notifiable diseases are reported in Sweden.
OpenEMed is a set of distributed healthcare information service components built around the OMG distributed object specifications and the HL7 (and other) data standards and is written in Java for platform portability. We emphasize the interoperable service functionality that this approach provides in reducing the time it takes to build a healthcare related system. It is not intended as a turnkey system but rather a set of components that can be assembled and configured to meet a variety of tasks.
The CMS3.0 is an open-source clinic management system project jointly implemented by the Hong Kong Medical Association (HKMA) and the Information and software Industry Association (ISIA), with the funding support from the Office of the Government Chief Information Officer (OGCIO) under the Sector-specific Programme (SSP) for the Medical and Health Sector, and was developed by the Mobigator Technology Group.
FreeLIMS is a Laboratory Information Management System ( LIMS ). Manage samples; create sample types from methods & parameters; easily generate reports & certificates; fine tune user rights.
COMSATS Open Source Healthcare Management System (COS-HMS) is designed and developed on scalable architecture and technologies like Java EE, MySQL, JBoss Application Server on Linux platform. It adheres the compliance of international standards like ICD-10 (World Health Organization's International Classification of Diseases), DICOM (Digital Imaging and Communications in Medicine) & LOINC (Logical Observation Identifiers Names and Codes).
The HL7 Inspector is a useful hl7 tool for integration the HL7 in a health care environmental. It will help you to minimize the time for tuning the HL7 communication between systems such as HIS and RIS by analyzing and validating HL7 messages.
The Clinical Study Tracker (CST) is a simple software suite of tools which is used to track progress and completion of medical tests performed on participants during a clinical study. Front page has ‘file folder appearance’ which allows for easy, understandable data entry. Each activity (or medical test) is comprised of a sequence of activity steps (or process steps) which are assigned a date field (where the completion date of the activity step is entered). The tool suite comprises of an Administration Tool used to setup the database, and a Logging Tool for logging progress data.
ImmunoRatio is a free web application for automated image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67 immunostained tissue sections.
- segments diaminobenzidine-stained (DAB) and hematoxylin-stained nuclei regions from the user-submitted image,
- calculates the percentage of DAB-stained nuclear area over total nuclear area (=labeling index), and
- generates a pseudo-colored result image matching the area segmentation (see the example on right side).