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Capture patient care data using a standardized coded nursing terminology. Code electronic clinical encounters: diagnoses, interventions, and outcomes. Track nurses' contribution to patient care and care outcomes. Provide standardized concepts (data/elements) for clinical pathways and decision support.
The International Labour Organization's International Standard Classification of Occupations further notes: "Occupations included in this category require knowledge of medical terminology, legal aspects of health information, health data standards, and computer- or paper-based data management as obtained through formal education and/or ...
Some of the problems tackled by CRI are: creation of data warehouses of health care data that can be used for research, support of data collection in clinical trials by the use of electronic data capture systems, streamlining ethical approvals and renewals (in US the responsible entity is the local institutional review board), maintenance of ...
Health information technology (HIT) is "the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, health data, and knowledge for communication and decision making". [8]
Galaxy is a web platform for data-intensive biology using geographically-distributed supercomputers. [56] LabKey Server is an extensible platform for integrating, analyzing and sharing all types of biomedical research data. It provides secure, web-based access to research data and includes a customizable data processing pipeline.
Lawrence Leonard Weed (December 26, 1923 – June 3, 2017) [1] was an American physician, researcher, educator, entrepreneur and author, who is best known for creating the problem-oriented medical record as well as one of the first electronic health records.
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A Clinical Decision Support System (CDSS) is a computerized tool designed to assist healthcare providers in making clinical decisions by integrating medical knowledge with patient data. These systems utilize algorithms, databases, and patient information to provide tailored recommendations, alerts, and reminders to healthcare professionals at ...