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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 ...
The information required for practice-based evidence is of three sorts: context (e.g. case mix), intervention (treatment) and outcomes (change). [7] Some mental health services are developing a practice-based evidence culture with the routine measurement of clinical outcomes [8] [9] and creating behavioral health outcomes management programs.
The Demographic and Health Surveys (DHS) Program is responsible for collecting and disseminating accurate, nationally representative data on health and population in developing countries. The project is implemented by ICF International and is funded by the United States Agency for International Development (USAID) with contributions from other ...
A Regional Health Information Organization (RHIO, pronounced rio), also called a Health Information Exchange Organization, is a multistakeholder organization created to facilitate a health information exchange (HIE) – the transfer of healthcare information electronically across organizations – among stakeholders of that region's healthcare system.
Health data can be used to benefit individuals, public health, and medical research and development. [14] The uses of health data are classified as either primary or secondary. Primary use is when health data is used to deliver health care to the individual from whom it was collected. [15]
The National Health Survey had been created within PHS in 1956 through the National Health Survey Act (Pub. L. 84–652); it was the successor to a seminal national health survey performed by the Works Progress Administration during 1935–1936, which had multiple supplemental studies carried out in the intervening decades. [1]
Syndromic surveillance is the analysis of medical data to detect or anticipate disease outbreaks.According to a CDC definition, "the term 'syndromic surveillance' applies to surveillance using health-related data that precede diagnosis and signal a sufficient probability of a case or an outbreak to warrant further public health response.
The use of real-world data from electronic health records and digital health-monitoring devices is also given as an example of general Post-Market Clinical Followup (PMCF) information for medical devices in the guideline "MDCG 2022-21 Guidance on Periodic Safety Update Report (PSUR) according to Regulation (EU) 2017/745 (MDR)" from December ...