Automated Medical Algorithms: Issues for Medical Errors | Zendy

Kenneth A. Johnson | Zendy

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Automated Medical Algorithms: Issues for Medical Errors

Author(s) -

Kenneth A. Johnson

Publication year - 2002

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1197/jamia.m1228

Subject(s) - computer science , automation , reduction (mathematics) , medical information , algorithm , data mining , data science , knowledge management , engineering , mechanical engineering , geometry , mathematics

The National Patient Safety Foundation has sponsored a report to describe the current research being pursued in the area of medical error reduction and to identify the gaps in this effort.1 A total of 23 gaps were identified—among them was a need for more research in the area of communication and information sharing. One of the areas that we see a need to explore is the wealth of published information in the form of medical algorithms. Centralizing and automating medical algorithms is one way to share information among a wide range of clinical care providers. Furthermore, automation of medical algorithms assists in the correct selection (reducing errors of planning) and application of that information (reducing errors of execution).The …

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