Proteus is a software technology that allows creating clinical executable decision support guidelines with little effort. There is a Proteus Intelligent Processes (PIP) Project Wiki available for the developers of the PIP open source project and others who are interested in learning more about Proteus. Proteus is composed of two sub-projects: Protean (Clinical Workflow Authoring Tool) and GreEd (Rule Authoring Tool).
You can use the category filters given on the right sidebar to narrow down your search results.
DiagnosisMed is a package to analyze data from diagnostic test accuracy evaluating health conditions. It is being built to be used by health professionals. This package is able to estimate sensitivity and specificity from categorical and continuous test results including some evaluations of indeterminate results, or compare different categorical tests, and estimate reasonble cut-offs of tests and display it in a way commonly used by health professionals. No graphical interface is avalible yet. Partners are most welcome.
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.
ADDIS is a software developed within the Dutch Escher-project for managing and analyzing clinical trial information.
ADDIS is a proof-of-concept system that allows us to simultaneously discover the possibilities of and the requirements on a database of structured clinical trials data. The automated discovery and (meta-)analysis of trial data, as well as benefit-risk assessment is supported.
ADDIS comes with two built-in examples:
In the last 20 years, researchers have investigated solutions to enable seamless access to online resources within the context of electronic health record (EHR) systems. “Infobuttons” are among these solutions. Based on contextual attributes that describe the EHR user, the patient, and the care setting, infobuttons anticipate clinicians’ information needs and provide automated links to a set of relevant knowledge resources to assist clinical decision support.
The Zambia Electronic Perinatal Record System (ZEPRS) is an Electronic Medical Record (EMR) system used by public obstetric clinics and a hospital (the University Teaching Hospital) in Lusaka, Zambia to improve patient care. The University of Alabama Birmingham (UAB) Center for Research in Women's Health (CRWH), RTI, and the Center for Infectious Disease Research in Zambia (CIDRZ) developed ZEPRS with local medical expertise and project engagement from the Lusaka Urban Health District, Central Board of Health and funding support from the Bill & Melinda Gates Foundation.
What is FreeHealth EHR?
A free and open source electronic health record
Who can benefit from FreeHealth EHR?
- healthcare centers
- medical doctors
- allied health professionals
FreeHealth EHR is coded in C++ / Qt5.
SPINA (structure parameter inference approach) is a method for calculating constant structure parameters of endocrine feedback control systems in vivo from hormone levels obtained from serum or plasma.
A first successful implementation applies to evaluation of thyroid function. It allows for calculating the thyroid's maximum secretory capacity (GT or SPINA-GT) and the sum activity of peripheral 5'-deiodinases (GD or SPINA-GD) from levels of TSH, (F)T4 and (F)T3 that have been determined once only (SPINA Thyr).
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.