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On-premises software is sometimes referred to as "shrinkwrap" software, and off-premises software is commonly called "software as a service" ("SaaS") or "cloud computing". The software consists of database and modules that are combined to particularly serve the unique needs of the large organizations regarding the automation of corporate-wide ...
Health data are classified as either structured or unstructured. Structured health data is standardized and easily transferable between health information systems. [4] For example, a patient's name, date of birth, or a blood-test result can be recorded in a structured data format.
The premise of weighting is that patients require different levels of health services depending on their age and gender. For example, the average male patient requires fewer consultations than his older and infant counterparts. The table shows the weighting factors used in the standardization of workloads.
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]
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]
Its product Astra DB is a cloud database-as-a-service based on Apache Cassandra. DataStax also offers DataStax Enterprise (DSE), an on-premises database built on Apache Cassandra, and Astra Streaming, a messaging and event streaming cloud service based on Apache Pulsar.
Exadata is designed to run all Oracle Database workloads, such as OLTP, Data Warehousing, Analytics, and AI vector processing, often with multiple consolidated databases running simultaneously. Historically, specialized database computing platforms were designed for a particular workload, such as Data Warehousing, and poor or unusable for other ...
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.