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CC BY-NC-ND 4.0 · Gesundheitsökonomie & Qualitätsmanagement 2022; 27(03): 138-143
DOI: 10.1055/a-1695-4507
DOI: 10.1055/a-1695-4507
Originalarbeit
Komplexitätssteigerung medizinischer Entscheidungssituationen – Herausforderungen der Digitalisierung erkennen und gestalten
Increasing complexity of medical decision-making situations – recognising and shaping the challenges of digitalisation
Zusammenfassung
Die Chancen und Grenzen der Digitalisierung für medizinische Entscheidungssituationen werden bislang stark in Bezug auf die Potenziale einzelner Technologien und digitaler Tools diskutiert. Im Anschluss an soziologische Perspektiven, die medizinisches Entscheiden als sozial eingebettet und hybrid verstehen, zeigen wir zentrale strukturelle Herausforderungen der Digitalisierung in klinischen Entscheidungssituationen auf und entwickeln Handlungsempfehlungen für die Praxis. Gelingt es, strukturelle Herausforderung der Digitalisierung positiv zu bewältigen, eröffnen sich nachhaltige Möglichkeiten zur Verbesserung medizinischer Entscheidungssituationen durch Digitalisierung. Mit dieser integrativen Perspektive gelingt es, Engführungen auf einzelne Technologien und Idealisierungen von Entscheidungssituationen zu vermeiden, nichtintendierte Folgen zu antizipieren und Perspektiven für mittel- und langfristige Qualitätssteigerungen zu eröffnen.
Abstract
The opportunities and limits of digitalisation for medical decision-making situations have been discussed heavily so far regarding to the potentials of single technologies and digital tools. Following sociological perspectives, which understand medical decision-making as socially embedded and hybrid, we show central structural challenges of digitalisation in clinical decision-making situations and develop recommendations for action for practice. If the structural challenges of digitalisation can be overcome positively, sustainable opportunities for improving medical decision-making situations through digitalisation will open up. With this integrative perspective, it is possible to avoid narrowing down to individual technologies and idealising decision-making situations, to anticipate unintended consequences and to open up perspectives for medium- and long-term quality improvements.
Publication History
Received: 17 November 2021
Accepted: 07 December 2021
Article published online:
28 January 2022
© 2022. 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 commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Georg Thieme Verlag KG
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