clinical decision support system

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1
Development and Assessment of RecosDoc-MTeV to Improve the Quality of Direct Oral Anticoagulant Prescription for Venous Thromboembolic Disease.
Séroussi, Brigitte;Ouarrirh, Houda;Elalamy, Ismaël;Gerotziafas, Grigorios;Debrix, Isabelle;Bouaud, J...
2019 Studies in health technology and informatics DOI: 10.3233/SHTI190332 273 views
2
Work process: a basis for understanding nursing errors.
Forte, Elaine Cristina Novatzki;Pires, Denise Elvira Pires de;Martins, Maria Manuela Ferreira Pereir...
2019 revista da escola de enfermagem da u s p DOI: S0080-62342019000100... 352 views
3
Social Determinants of Health and their influence on the choice of birth control methods.
Ferreira, Hellen Lívia Oliveira Catunda;Barbosa, Denise de Fátima Fernandes;Aragão, Vivianne Melo;Ol...
2019 revista brasileira de enfermagem DOI: S0034-71672019000401... 304 views
4
Best Practices in Historical Studies of Nursing and Health (1999-2017).
Vieira, Amanda Nicácio;Petry, Stéfany;Padilha, Maria Itayra;
2019 revista brasileira de enfermagem DOI: S0034-71672019000400... 275 views
5
The effect of a clinical decision support system on prompting an intervention for risky alcohol use in a primary care smoking cessation program: a cluster randomized trial.
Minian, Nadia;Baliunas, Dolly;Noormohamed, Aliya;Zawertailo, Laurie;Giesbrecht, Norman;Hendershot, C...
2019 Implementation science : IS DOI: 10.1186/s13012-019-0... 337 views
6
User-Centered Methods in Explainable AI Development for Hospital Clinical Decision Support: A Scoping Review.
Van Dort, Bethany A; Engelsma, Thomas; Medlock, Stephanie; Dusseljee-Peute, Linda
2025 Studies in health technology and informatics DOI: 10.3233/SHTI250228 16 views

Related Journals

Studies in health technology and informatics
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venous thromboembolism clinical practice guidelines guideline adherence health care quality assessment primary care tobacco alcohol cancer prevention interactive systems framework Machine learning usability explainable artificial intelligence human computer interaction