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Good clinical data management practice (GCDMP) is the current industry standards for clinical data management that consist of best business practice and acceptable regulatory standards. In all phases of clinical trials , clinical and laboratory information must be collected and converted to digital form for analysis and reporting purposes.
Data type validation is customarily carried out on one or more simple data fields. The simplest kind of data type validation verifies that the individual characters provided through user input are consistent with the expected characters of one or more known primitive data types as defined in a programming language or data storage and retrieval ...
Centers for Medicare and Medicaid Services (CMS) has the primary responsibility for the operation of the CLIA Program. Within CMS, the program is implemented by the Center for Medicaid and State Operations, Survey and Certification Group, and the Division of Laboratory Services. List of CLIA test complexity categorizations: Waived; Moderate
The patient summary contains a core data set of the most relevant administrative, demographic, and clinical information facts about a patient's healthcare, covering one or more healthcare encounters. It provides a means for one healthcare practitioner, system, or setting to aggregate all of the pertinent data about a patient and forward it to ...
Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.
Each PA is composed of a "core" [i.e. a generic and terminology-free description] and "context-specific" [ i.e. description from the perspective of Agile/ Scrum, development, services, etc.] section. Since all practices are now compulsory to comply, "Expected" section has been removed.
The data management plan describes the activities to be conducted in the course of processing data. Key topics to cover include the SOPs to be followed, the clinical data management system (CDMS) to be used, description of data sources, data handling processes, data transfer formats and process, and quality control procedure
Data verification helps to determine whether data was accurately translated when data is transferred from one source to another, is complete, and supports processes in the new system. During verification, there may be a need for a parallel run of both systems to identify areas of disparity and forestall erroneous data loss .