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Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...
The RHIA certification focuses on preparing members for careers in health information and medical records management, including management of the processes and systems that capture and report on health care-related data so that it can be used to evaluate care performance. [3]
The basic task of a clinical coder is to classify medical and health care concepts using a standardised classification. Inpatient, mortality events, outpatient episodes, general practitioner visits and population health studies can all be coded. Clinical coding has three key phases: a) abstraction; b) assignment; and c) review. [5]
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In addition, they may apply the science of informatics to the collection, storage, analysis, use, and transmission of information to meet legal, professional, ethical and administrative records-keeping requirements of health care delivery. [1] They work with clinical, epidemiological, demographic, financial, reference, and coded healthcare data.
A certification is a third-party attestation of an individual's level of knowledge or proficiency in a certain industry or profession. They are granted by authorities in the field, such as professional societies and universities, or by private certificate-granting agencies.
Interoperability between disparate clinical information systems requires common data standards or mapping of every transaction. However common data standards alone will not provide interoperability, and the other requirements are identified in "How Standards will Support Interoperability" from the Faculty of Clinical Informatics [2] and "Interoperability is more than technology: The role of ...
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
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