Literature DB >> 35062133

Development of a Clinical Decision Support System for Smart Algorithms in Emergency Medicine.

Stefan Vogel1, Andreas Reiswich2, Zully Ritter1, Michael Schmucker2, Angela Fuchs3, Kerstin Pischek-Koch1, Stefanie Wache1, Katrin Esslinger3, Michael Dietrich4, Tibor Kesztyüs1, Dagmar Krefting1, Martin Haag2, Sabine Blaschke3.   

Abstract

The development of clinical decision support systems (CDSS) is complex and requires user-centered planning of assistive interventions. Especially in the setting of emergency care requiring time-critical decisions and interventions, it is important to adapt a CDSS to the needs of the user in terms of acceptance, usability and utility. In the so-called ENSURE project, a user-centered approach was applied to develop the CDSS intervention. In the context of this paper, we present a path to the first mockup development for a CDSS interface by addressing Campbell's Five Rights within the CDSS workflow.

Entities:  

Keywords:  Artificial Intelligence; Clinical Decision Support System; Clinical Process; Emergency Medicine

Mesh:

Year:  2022        PMID: 35062133     DOI: 10.3233/SHTI210900

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Design and Implementation of a Comprehensive AI Dashboard for Real-Time Prediction of Adverse Prognosis of ED Patients.

Authors:  Wei-Chun Tsai; Chung-Feng Liu; Hung-Jung Lin; Chien-Chin Hsu; Yu-Shan Ma; Chia-Jung Chen; Chien-Cheng Huang; Chia-Chun Chen
Journal:  Healthcare (Basel)       Date:  2022-08-09
  1 in total

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