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BMC Medical Informatics and Decision Making, 2020 Background Routine Health Information Systems (RHIS) of low-income countries function below the globally expected standard, characterised by the production and use of poor-quality data, or the non-use of good quality data for informed decision making ...
Georges Nguefack-Tsague +6 more
doaj +1 more source
STRATEGY FOR TEACHING MEDICAL INFORMATICS IN RUSSIAN UNIVERSITIES
Высшее образование в России, 2016 The article emphasizes the importance of coordination of informatics and medical informatics teaching between Universities in conditions of advancing informatization of healthcare and fast IT development.
Tatyana V. Zarubina +2 more
doaj
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding [PDF]
arXiv, 2019 Automatic representation learning of key entities in electronic health record (EHR) data is a critical step for healthcare informatics that turns heterogeneous medical records into structured and actionable information. Here we propose ME2Vec, an algorithmic framework for learning low-dimensional vectors of the most common entities in EHR: medical ...
arxiv
Evolution of Trends in European Medical Informatics
Acta Informatica Medica, 2014 This presentation attempts to analyze the trends in Medical Informatics along half a century, in the European socio-political and technological development context.
George I. Mihalas
semanticscholar +1 more source
Verifying the Medical Specialty from User Profile of Online Community for Health-Related Advices [PDF]
Proceedings of the 1st International Workshop on Informatics &
Data-Driven Medicine (IDDM 2018), 2018 The paper describes the verifying methods of medical specialty from user profile of online community for health-related advices. To avoid critical situations with the proliferation of unverified and inaccurate information in medical online community, it is necessary to develop a comprehensive software solution for verifying the user medical specialty ...
arxiv
NILE: Fast Natural Language Processing for Electronic Health Records [PDF]
arXiv, 2013 Objective: Narrative text in Electronic health records (EHR) contain rich information for medical and data science studies. This paper introduces the design and performance of Narrative Information Linear Extraction (NILE), a natural language processing (NLP) package for EHR analysis that we share with the medical informatics community.
arxiv
A review of medical education and medical informatics
Academic Medicine, 1989 Physicians have considerable difficulty collecting and interpreting information from patients, dealing with the uncertainties associated with diagnosing and treating their patients, communicating precisely with one another, keeping up to date, and applying recommended procedures when indicated.
Nancy C. Ryan +4 more
openaire +4 more sources
Reflections Towards the Future of Medical Informatics. [PDF]
Yearb Med Inform, 2023 Haux R.
europepmc +1 more source