Results 161 to 170 of about 7,306,095 (347)
adobe medicus 2010 5 September-October [PDF]
https://digitalrepository.unm.edu/adobe-medicus/1039/thumbnail ...
Health Sciences Library and Informatics Center
core +1 more source
This White Paper presents the foundational domains with examples of key aspects of competencies (knowledge, skills, and attitudes) that are intended for curriculum development and accreditation quality assessment for graduate (master's level) education ...
A. Valenta+17 more
semanticscholar +1 more source
Objective: Describe the knowledge, skills and competencies that healthcare professionals hold working in the area of clinical informatics. Materials and methods: We conducted a systematic literature review across five large databases: MEDLINE, EMBASE ...
Sophie Brouat+4 more
doaj
Unravelling the tangled taxonomies of health informatics
Even though informatics is a term used commonly in healthcare, it can be a confusing and disengaging one. Many definitions exist in the literature, and attempts have been made to develop a clear taxonomy.
David Barrett+2 more
doaj +1 more source
HSLIC Annual Report FY2000-01 [PDF]
https://digitalrepository.unm.edu/hslic-annual-reports/1011/thumbnail ...
Health Sciences Library and Informatics Center
core +1 more source
Health Informatics in Medical and Dental Curricula. National Workshop: 5 March 1998, Royal College of Physicians [PDF]
Stephen Greenwood
openalex +1 more source
The Development of the IMIA Knowledge Base
Background: The discipline of health or medical informatics is relatively new in that the literature has existed for only 40 years. The British Computer Society (BCS) health group was of the opinion that work should be undertaken to explore the scope of ...
Graham Wright
doaj
adobe medicus 2004 6 November-December [PDF]
https://digitalrepository.unm.edu/adobe-medicus/1028/thumbnail ...
Health Sciences Library and Informatics Center
core +1 more source
Predicting health inspection results from online restaurant reviews [PDF]
Informatics around public health are increasingly shifting from the professional to the public spheres. In this work, we apply linguistic analytics to restaurant reviews, from Yelp, in order to automatically predict official health inspection reports. We consider two types of feature sets, i.e., keyword detection and topic model features, and use these
arxiv