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Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases).
In computing, an enterprise[-wide] master patient index is a form of customer data integration (CDI) specific to the healthcare industry.Healthcare organizations and groups use EMPI to identify, match, merge, de-duplicate, and cleanse patient records to create a master index that may be used to obtain a complete and single view of a patient.
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 ...
HRHIS is a human resource for health information system for management of human resources for health developed by University of Dar es Salaam college of information and communication technology, Department of Computer Science and Engineering, for Ministry of Health and Social Welfare (Tanzania) and funded by the Japan International Cooperation ...
Brex explores the evolution of invoice matching from manual verification to automated intelligence, examining different matching types, implementation strategies, and automation benefits.
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.
Healthcare quality and safety require that the right information be available at the right time to support patient care and health system management decisions. Gaining consensus on essential data content and documentation standards is a necessary prerequisite for high-quality data in the interconnected healthcare system of the future.
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