Der Klinikarzt 2016; 45(05): 250-256
DOI: 10.1055/s-0042-106355
Schwerpunkt
© Georg Thieme Verlag Stuttgart · New York

Software zur Unterstützung der Differenzialdiagnose in der Inneren Medizin – Auswirkungen auf die Qualität der Medizin

Software to support differential diagnosis in internal medicine – Impact on the quality of medicine
Tobias Müller
1   Zentrum für unerkannte und seltene Erkrankungen (ZusE), Universitätsklinikum Gießen und Marburg (UKGM)
,
Andreas Jerrentrup
1   Zentrum für unerkannte und seltene Erkrankungen (ZusE), Universitätsklinikum Gießen und Marburg (UKGM)
2   Klinik für Pneumologie, Universitätsklinikum Gießen und Marburg (UKGM)
,
Hans-Walter Fritsch
3   Leitung Geschäftsbereich IT, Universitätsklinikum Gießen und Marburg (UKGM)
,
Jürgen Schäfer
1   Zentrum für unerkannte und seltene Erkrankungen (ZusE), Universitätsklinikum Gießen und Marburg (UKGM)
4   Klinik für Kardiologie, Angiologie und internistische Intensivmedizin, Universitätsklinikum Gießen und Marburg (UKGM)
› Author Affiliations
Further Information

Publication History

Publication Date:
02 June 2016 (online)

Die Differenzialdiagnose ist zweifelsohne die wichtigste und intellektuell herausforderndste Aufgabe des Arztes. Frühere Expertensysteme zur Unterstützung konnten sich aufgrund der hohen Komplexität nicht in der breiten Praxis etablieren. Auch war es schlichtweg unmöglich, das gesamte medizinische Wissen zu operationalisieren. Heutige Systeme präsentieren dem Anwender auf Grundlage der eingegebenen Symptome eine strukturierte Liste an möglichen Differenzialdiagnosen. Dies in Verbindung mit ansprechenden und intuitiven Benutzeroberflächen führt zu einem steigenden Einsatz. Gerade die Innere Medizin profitiert aufgrund der Komplexität der Symptome und hohen Anzahl der Diagnosen von dem Einsatz solcher Systeme. Durch unterstützenden Einsatz kann die Geschwindigkeit der Diagnosefindung erhöht und Fehldiagnosen vermieden werden, wodurch insgesamt die Behandlungsqualität gesteigert werden kann.

Without doubt, differential diagnosis is the most important and intellectually most challenging task for a physician. The previous expert systems to support it could not establish themselves widely in practice due to the high complexity. Also, it absolutely impossible to operationalize the entire spectrum of medical knowledge. Currently available systems provide the user with a structured list of possible differential diagnoses on the basis of the supplied symptoms. This in combination with attractive and intuitive user interfaces leads to increasing applications. Internal medicine in particular will benefit from the use of such systems on account of the complexity of the symptoms and the huge number of diagnoses. With supportive deployments the speed of diagnostic results can be increases and erroneous diagnoses can be avoided which taken together can help to improve the quality of treatment.

 
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