This paper is in the following e-collection/theme issue:

Reviews in Medical Informatics (93) Decision Support for Health Professionals (1210)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28023, first published .
Effect of Interventions With a Clinical Decision Support System for Hospitalized Older Patients: Systematic Review Mapping Implementation and Design Factors

Effect of Interventions With a Clinical Decision Support System for Hospitalized Older Patients: Systematic Review Mapping Implementation and Design Factors

Effect of Interventions With a Clinical Decision Support System for Hospitalized Older Patients: Systematic Review Mapping Implementation and Design Factors

Authors of this article:

Birgit A Damoiseaux-Volman1 Author Orcid Image ;   Nathalie van der Velde2 Author Orcid Image ;   Sil G Ruige1 Author Orcid Image ;   Johannes A Romijn3 Author Orcid Image ;   Ameen Abu-Hanna1 Author Orcid Image ;   Stephanie Medlock1 Author Orcid Image
Article Authors Cited by (17) Tweetations (2) Metrics

Journals

  1. Damoiseaux‐Volman B, Medlock S, van der Meulen D, de Boer J, Romijn J, van der Velde N, Abu‐Hanna A. Clinical validation of clinical decision support systems for medication review: A scoping review. British Journal of Clinical Pharmacology 2022;88(5):2035 View
  2. Thanathornwong B, Suebnukarn S, Ouivirach K. Clinical Decision Support System for Geriatric Dental Treatment Using a Bayesian Network and a Convolutional Neural Network. Healthcare Informatics Research 2023;29(1):23 View
  3. Moon K, Son C, Lee J, Park M. The development of a web-based app employing machine learning for delirium prevention in long-term care facilities in South Korea. BMC Medical Informatics and Decision Making 2022;22(1) View
  4. Plácido A, Herdeiro M, Roque F. Health and Wellbeing in Aging. International Journal of Environmental Research and Public Health 2022;19(14):8835 View
  5. Harutyunyan R, Jeffries S, Ramírez-GarcíaLuna J, Hemmerling T. Clinical Performance of Decision Support Systems in Anesthesia, Intensive Care, and Emergency Medicine: A Systematic Review and Meta-Analysis. Anesthesia & Analgesia 2023 View
  6. O’Mahony D, Cherubini A, Guiteras A, Denkinger M, Beuscart J, Onder G, Gudmundsson A, Cruz-Jentoft A, Knol W, Bahat G, van der Velde N, Petrovic M, Curtin D. STOPP/START criteria for potentially inappropriate prescribing in older people: version 3. European Geriatric Medicine 2023;14(4):625 View
  7. Skuban-Eiseler T, Orzechowski M, Denkinger M, Kocar T, Leinert C, Steger F. Artificial Intelligence–Based Clinical Decision Support Systems in Geriatrics: An Ethical Analysis. Journal of the American Medical Directors Association 2023;24(9):1271 View
  8. Piotrowski A, Coenen J, Rupietta C, Basten J, Muth C, Söling S, Zimmer V, Karbach U, Kellermann-Mühlhoff P, Köberlein-Neu J, van den Akker M, Beckmann T, Brandt B, Brünn R, Chapidi K, Dinh T, Düvel L, Flaig B, Flume M, Gerlach F, Glasziou P, Gonzalez-Gonzalez A, Grandt D, Grandt S, Greiner W, Hammerschmidt R, Harder S, Ihle P, Jachmich J, Klaaßen-Mielke R, Leicher E, Lemke D, Meyer F, Meyer I, Müller B, Müller T, Perera R, Pfaff H, Richard J, Surmann B, Timmesfeld N, Trampisch H. Factors facilitating the implementation of a clinical decision support system in primary care practices: a fuzzy set qualitative comparative analysis. BMC Health Services Research 2023;23(1) View
  9. Tierney A, Mosqueda M, Cesena G, Frehn J, Payán D, Rodriguez H. Telemedicine Implementation for Safety Net Populations: A Systematic Review. Telemedicine and e-Health 2024;30(3):622 View
  10. Fernando M, Abell B, Tyack Z, Donovan T, McPhail S, Naicker S. Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review. Journal of Medical Internet Research 2023;25:e45163 View
  11. de Wildt K, van de Loo B, Linn A, Medlock S, Groos S, Ploegmakers K, Seppala L, Bosmans J, Abu-Hanna A, van Weert J, van Schoor N, van der Velde N, Carels V. Effects of a clinical decision support system and patient portal for preventing medication-related falls in older fallers: Protocol of a cluster randomized controlled trial with embedded process and economic evaluations (ADFICE_IT). PLOS ONE 2023;18(9):e0289385 View
  12. Wang J, Ji M, Han Y, Wu Y. Development and Usability Testing of a Mobile App–Based Clinical Decision Support System for Delirium: Randomized Crossover Trial. JMIR Aging 2024;7:e51264 View
  13. Groos S, de Wildt K, van de Loo B, Linn A, Medlock S, Shaw K, Herman E, Seppala L, Ploegmakers K, van Schoor N, van Weert J, van der Velde N, Baysal M. Development of the ADFICE_IT clinical decision support system to assist deprescribing of fall-risk increasing drugs: A user-centered design approach. PLOS ONE 2024;19(9):e0297703 View
  14. Kang M, Kim M. Managing Postembolization Syndrome Through a Machine Learning–Based Clinical Decision Support System. CIN: Computers, Informatics, Nursing 2024;42(11):817 View
  15. Meyer S, Söling S, Dymek N, Britz H, May S, Dumröse A, Köberlein-Neu J. Monitoring der Implementierungsbereitschaft in Veränderungsprozessen. Prävention und Gesundheitsförderung 2024 View

Books/Policy Documents

  1. García-Alcaraz J, Sánchez-Ramírez C, Díaz-Reza J, Avelar-Sosa L, Puig-i-Vidal R. Handbook on Decision Making. View
  2. Kalina J. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems. View