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DOI: 10.1055/a-1284-3193
Leitlinienbasierter Clinical Decision Support – Anforderungen an evidenzbasierte Entscheidungsunterstützungssysteme
Guideline-Based Clinical Decision Support – Requirements for Evidence-Based Systems
Zusammenfassung
Hintergrund Trotz nachgewiesener Nutzen werden Systeme zur klinischen Entscheidungsunterstützung nach wie vor nicht regelmäßig im klinischen Alltag eingesetzt.
Fragestellung Der Artikel soll den theoretischen Hintergrund und die Anforderungen an leitlinienbasiertem bzw. problembasiertem Clinical Decision Support aufzeigen.
Material und Methoden Darstellung der anwendbaren mathematischen Modelle, Terminologien und weiterer theoretischer Grundlagen sowie der Probleme der bisherigen Ansätze mit Lösungsvorschlägen.
Ergebnisse und Schlussfolgerung Der Einsatz leitlinienbasierter Clinical-Decision-Support-Systeme kann zur Verbesserung von Qualität, Effizienz, Sicherheit, Transparenz und Outcomes in der klinischen Medizin beitragen.
Abstract
Background Despite proven benefits, clinical decision support systems are still not used regularly in everyday clinical practice.
Objective The article is intended to describe the theoretical background and the requirements for guideline-based or problem-based clinical decision support.
Material and Methods Presentation of applicable mathematical models, terminology and other theoretical principles, as well as problems of previous approaches with proposed solutions.
Results and Conclusion The use of guideline-based clinical decision support systems can help improve quality, efficiency, safety, transparency and outcomes (QESTO) in clinical medicine.
Schlüsselwörter
klinische Entscheidungsunterstützung - Entscheidungsregeln - Leitlinien - PICO-Datenmodell - problembasierte MedizinKey words
clinical decision support - decision rules - guidelines - PICO data model - problem-based medicinePublication History
Article published online:
30 March 2021
© 2021. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commecial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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