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Point of care (POC) documentation is the ability for clinicians to document clinical information while interacting with and delivering care to patients. [10] The increased adoption of electronic health records (EHR) in healthcare institutions and practices creates the need for electronic POC documentation through the use of various medical devices. [11]
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 ...
Some refer to a learning healthcare system, others refer to learning health systems or collaborative learning health systems. [11] The architecture and objectives are similar, irrespective of the label—addressing evidence gaps, harnessing data, and effectively utilizing the best evidence at the point of need.
Healthcare quality and safety require that the right information be available at the right time to support patient care and health system management decisions. Gaining consensus on essential data content and documentation standards is a necessary prerequisite for high-quality data in the interconnected healthcare system of the future.
Some of the problems tackled by CRI are: creation of data warehouses of health care data that can be used for research, support of data collection in clinical trials by the use of electronic data capture systems, streamlining ethical approvals and renewals (in US the responsible entity is the local institutional review board), maintenance of ...
The JKL Healthcare System was one of the first successful implementers of EMR using the Epic System, and they became a model site for other healthcare systems. JKL Healthcare received the Davies Award in September 2004, which is the most prestigious award in the IT industry for its implementation of the most comprehensive EMR system in the US. [2]
A Clinical Decision Support System (CDSS) is a computerized tool designed to assist healthcare providers in making clinical decisions by integrating medical knowledge with patient data. These systems utilize algorithms, databases, and patient information to provide tailored recommendations, alerts, and reminders to healthcare professionals at ...
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.