Clinical Information Systems and Artificial Intelligence: Recent Research Trends.
Journal
Yearbook of medical informatics
ISSN: 2364-0502
Titre abrégé: Yearb Med Inform
Pays: Germany
ID NLM: 9312666
Informations de publication
Date de publication:
Aug 2019
Aug 2019
Historique:
entrez:
17
8
2019
pubmed:
17
8
2019
medline:
18
12
2019
Statut:
ppublish
Résumé
This survey aims at reviewing the literature related to Clinical Information Systems (CIS), Hospital Information Systems (HIS), Electronic Health Record (EHR) systems, and how collected data can be analyzed by Artificial Intelligence (AI) techniques. We selected the major journals (11 journals) collecting papers (more than 7,000) over the last five years from the top members of the research community, and read and analyzed the papers (more than 200) covering the topics. Then, we completed the analysis using search engines to also include papers from major conferences over the same five years. We defined a taxonomy of major features and research areas of CIS, HIS, EHR systems. We also defined a taxonomy for the use of Artificial Intelligence (AI) techniques on healthcare data. In the light of these taxonomies, we report on the most relevant papers from the literature. We highlighted some major research directions and issues which seem to be promising and to need further investigations over a medium- or long-term period.
Identifiants
pubmed: 31419820
doi: 10.1055/s-0039-1677915
pmc: PMC6697548
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
83-94Informations de copyright
Georg Thieme Verlag KG Stuttgart.
Déclaration de conflit d'intérêts
Disclosure The authors report no conflicts of interest in this work.
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