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Charles Safran (born February 3, 1951) is an American-born physician, biomedical informatician, and professor, who is known for his work regarding the use of health information technology (HIT) to improve the delivery and quality of healthcare, in particular clinical information systems.
Pioneer of mainframe computing; designed IBM 704; chief architect of IBM System/360. [4] [5] Formulated Amdahl's law; also worked on IBM 709 and IBM 7030 Stretch. [6] 1939 Atanasoff, John: Built the first electronic digital computer, the Atanasoff–Berry Computer, though it was neither programmable nor Turing-complete. 1822, 1837 Babbage, Charles
Before the 1980s, the entire health care costs were covered in central government annual budget. Since that, the construct of health care-expended supporters started to change gradually. Most of the expenditure was contributed by health insurance schemes and private spending, which corresponded to 40% and 45% of total expenditure, respectively.
Pier Giorgio Perotto – computer designer at Olivetti, designer of the Programma 101 programmable calculator; Rózsa Péter – recursive function theory; Simon Peyton Jones – functional programming, Glasgow Haskell Compiler, C--Kathy Pham – data, artificial intelligence, civic technology, healthcare, ethics
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]
Louis Hodes – Lisp, pattern recognition, logic programming, cancer research; John Henry Holland – pioneer in what became known as genetic algorithms, developed Holland's schema theorem, Learning Classifier Systems; Allen Holub – author and public speaker, Agile Manifesto signatory; Grace Hopper – Harvard Mark I computer, FLOW-MATIC, COBOL
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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.