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Using Business Process Management Notation to Model Therapeutic Prescription Protocols: The PrescIT Approach.
Natsiavas, Pantelis; Stavropoulos, Thanos G; Pliatsios, Antonios; Karanikas, Haralampos; Gavriilidis, George I; Dimitriadis, Vlasios K; Nikolaidis, George; Nikolopoulos, Spiros; Skapinakis, Petros; Thireos, Eleytherios; Kompatsiaris, Ioannis.
Affiliation
  • Natsiavas P; Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece.
  • Stavropoulos TG; Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece.
  • Pliatsios A; Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece.
  • Karanikas H; Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
  • Gavriilidis GI; Athens Medical Society, Athens, Greece.
  • Dimitriadis VK; Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece.
  • Nikolaidis G; Institute of Applied Biosciences, Centre for Research & Technology Hellas, Thessaloniki, Greece.
  • Nikolopoulos S; ERGOBYTE S.A., Thessaloniki, Greece.
  • Skapinakis P; Information Technologies Institute, Centre for Research & Technology Hellas, Thessaloniki, Greece.
  • Thireos E; Faculty of Medicine, University of Ioannina, Ioannina, Greece.
  • Kompatsiaris I; Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece.
Stud Health Technol Inform ; 281: 1089-1090, 2021 May 27.
Article de En | MEDLINE | ID: mdl-34042851
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Systèmes d'aide à la décision clinique / Effets secondaires indésirables des médicaments Type d'étude: Guideline / Prognostic_studies Limites: Humans Langue: En Journal: Stud Health Technol Inform Sujet du journal: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Année: 2021 Type de document: Article Pays d'affiliation: Grèce Pays de publication: Pays-Bas
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Systèmes d'aide à la décision clinique / Effets secondaires indésirables des médicaments Type d'étude: Guideline / Prognostic_studies Limites: Humans Langue: En Journal: Stud Health Technol Inform Sujet du journal: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Année: 2021 Type de document: Article Pays d'affiliation: Grèce Pays de publication: Pays-Bas