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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]
The system designed for that purposes was called EMIAS (United Medical Information and Analysis System) and presents an electronic health record (EHR) with the majority of other services set in the system that manages the flow of patients, contains outpatient card integrated in the system, and provides an opportunity to manage consolidated ...
Health information management professionals plan information systems, develop health policy, and identify current and future information needs. 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 ...
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.
Core business systems are systems used in a health care facility for financial payment, quality improvement, and encouraging best practices that research has proven beneficial. Used in health care, an ADT system is usually the foundation for other types of health care information systems because it holds valuable patient information such as a ...
The Health Information National Trends Survey (HINTS) [1] is a cross-sectional, nationally representative survey of American adults sponsored by the National Cancer Institute. HINTS provides publicly available data on American adults' knowledge of, attitudes toward, and behaviors related to cancer prevention, control and communication.
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Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.