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The Healthcare Cost and Utilization Project (HCUP, pronounced "H-Cup") is a family of healthcare databases and related software tools and products from the United States that is developed through a Federal-State-Industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ).
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.
The incremental cost-effectiveness ratio (ICER) is the ratio between the difference in costs and the difference in benefits of two interventions. The ICER may be stated as (C1 – C0)/(E1 – E0) in a simple example where C0 and E0 represent the cost and gain, respectively, from taking no health intervention action.
A hospital information system (HIS) is an element of health informatics that focuses mainly on the administrational needs of hospitals.In many implementations, a HIS is a comprehensive, integrated information system designed to manage all the aspects of a hospital's operation, such as medical, administrative, financial, and legal issues and the corresponding processing of services.
The cost driver is a factor that creates or drives the cost of the activity. For example, the cost of the activity of bank tellers can be ascribed to each product by measuring how long each product's transactions (cost driver) take at the counter and then by measuring the number of each type of transaction.
Reports the results and financial position of the business to the government, creditors, investors, and other external parties. Cost classifications based on functions, activities, products, processes and on the information needs of the organization in its planning and control. Cost classifications based on the types of transactions.
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Emails, audio recordings, or physician notes about a patient are examples of unstructured health data. While advances in health information technology have expanded collection and use, the complexity of health data has hindered standardization in the health care industry. [2]