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Electronic medical records (EMRs) and electronic health records (EHRs) are collected by clinical staff in the course of diagnosis and treatment. Though these records generally include structured components with predictable formats and data types, the remainder of the reports are often free-text and difficult to search, leading to challenges ...
The use of Clinical Data Repositories could provide a wealth of knowledge about patients, their medical conditions, and their outcome. The database could serve as a way to study the relationship and potential patterns between disease progression and management. The term "Medical Data Mining" has been coined for this method of research.
The terms EHR, electronic patient record (EPR) and electronic medical record (EMR) have often been used interchangeably, but "subtle" differences exist. [6] The electronic health record (EHR) is a more longitudinal collection of the electronic health information of individual patients or populations.
Federal and state governments, insurance companies and other large medical institutions are heavily promoting the adoption of electronic health records.The US Congress included a formula of both incentives (up to $44,000 per physician under Medicare, or up to $65,000 over six years under Medicaid) and penalties (i.e. decreased Medicare and Medicaid reimbursements to doctors who fail to use ...
The actual data mining task is the semi-automatic or automatic analysis of massive quantities of data to extract previously unknown, interesting patterns such as groups of data records (cluster analysis), unusual records (anomaly detection), and dependencies (association rule mining, sequential pattern mining).
Søren Brunak notes that “the patient record becomes as information-rich as possible” and thereby “maximizes the data mining opportunities.” [30] Hence, electronic patient records further expands the possibilities regarding medical data mining thereby opening the door to a vast source of medical data analysis.
Health information management's standards history is dated back to the introduction of the American Health Information Management Association, founded in 1928 "when the American College of Surgeons established the Association of Record Librarians of North America (ARLNA) to 'elevate the standards of clinical records in hospitals and other medical institutions.'" [3]
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 ...