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Studierfenster (StudierFenster) is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. [52] Medical open network for AI is a framework for Deep learning in healthcare imaging that is open-source available under the Apache Licence and supported by the community. [53]
It has grown into a comprehensive EMR and billing system used by many doctor's offices and private medical clinics in Canada and other parts of the world. The name is derived from where it was created and an acronym; OSCAR stands for Open Source Clinical Application and Resource and McMaster refers to McMaster University, where it was developed ...
While the term "free software" is associated with FSF's definition, and the term "open-source software" is associated with OSI's definition, the other terms have not been claimed by any group in particular. While the FSF's and OSI's definitions are worded quite differently the set of software that they cover is almost identical. [43] [44]
OpenEMR is a medical practice management software which also supports Electronic Medical Records (EMR). It is ONC Complete Ambulatory EHR certified [2] [3] [4] and features fully integrated electronic medical records, practice management for a medical practice, scheduling, and electronic billing.
GNU Health won the awards PortalProgramas 2012, 2014 and 2015 for Most Revolutionary Free Software [7] and Software with Largest Potential of Growth in 2012. [8] GNU Health awarded Sonderpreis at Open Source Business Award 2016 [9] [10] In April 2022, GNU Health was included in the Digital public goods registry
Medical practice management software (PMS) is a category of healthcare software that deals with the day-to-day operations of a medical practice including veterinarians. Such software frequently allows users to capture patient demographics, schedule appointments, maintain lists of insurance payors, perform billing tasks, and generate reports.
OpenMRS is a collaborative open-source project to develop software to support the delivery of health care in developing countries. [7]OpenMRS is founded on the principles of openness and sharing of ideas, software and strategies for deployment and use.
As a digital solution for data collection and management, DHIS2 can be used for aggregate data (e.g. routine health facility data, staffing, equipment, infrastructure, population estimates, etc.), event data (e.g. disease outbreaks, survey/audit data, patient satisfaction surveys, etc.), and individual-level longitudinal data (e.g. vaccination records, lab sample collection and testing ...