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Medical practice management software (PMS) is a category of healthcare software that deals with the day-to-day operations of a medical practice including veterinarians. Such software frequently allows users to capture patient demographics, schedule appointments, maintain lists of insurance payors, perform billing tasks, and generate reports.
An expense and cost recovery system (ECRS) is a specialized subset of "extract, transform, load" (ETL) functioning as a powerful and flexible set of applications, including programs, scripts and databases designed to improve the cash flow of businesses and organizations by automating the movement of data between cost recovery systems, electronic billing from vendors, and accounting systems.
Medical billing, a payment process in the United States healthcare system, is the process of reviewing a patient's medical records and using information about their diagnoses and procedures to determine which services are billable and to whom they are billed.
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 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 ...
IT cost transparency is a category of information technology management software and systems that enables enterprise IT organizations to model and track the total cost to deliver and maintain the IT Services they provide to the business. It is increasingly a task of management accounting.
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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.