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Saripan, Hartini; Mohd Shith Putera, Nurus Sakinatul Fikriah; Abdullah, Sarah Munirah; Abu Hassan, Rafizah; Abd Ghadas, Zuhairah Ariff – Asian Journal of University Education, 2021
Digitization across the healthcare industry has witnessed the advent of emerging Cognitive Computing (CC) healthcare technologies that improve diagnostic accuracy and efficiency, predict illnesses, automate routine healthcare tasks, and refine processes and care beyond human capabilities. Increased adoption of this technology can be attributed to…
Descriptors: Information Technology, Health Services, Artificial Intelligence, Automation
Wei, Weiqi – ProQuest LLC, 2012
Subject selection is essential and has become the rate-limiting step for harvesting knowledge to advance healthcare through clinical research. Present manual approaches inhibit researchers from conducting deep and broad studies and drawing confident conclusions. High-throughput clinical phenotyping (HTCP), a recently proposed approach, leverages…
Descriptors: Health Services, Records (Forms), Medical Evaluation, Electronic Publishing
Peer reviewedPascucci, Mary Ann; And Others – Journal of Professional Nursing, 1993
Describes the process of developing a data collection (coding) form to extract a minimum data set from nursing service records and a method of training lay coders to use the form. Explains how the Nursing Minimum Data Set can be used for research and program improvement. (JOW)
Descriptors: Adult Education, Data Collection, Data Processing, Medical Case Histories
Peer reviewedBentsen, Bent Gutterm – Journal of Medical Education, 1976
Reports studies of the validity of medical data recorded and computerized at University of Western Ontario family medical centers. In the 59 encounters observed residents recorded an average of 1.51 problems and observers 2.45. Implications for medical education, audit, research, computer systems, and quality of care are discussed. (JT)
Descriptors: Clinical Diagnosis, Data Processing, Family Health, Family Practice (Medicine)

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