Accuracy and usability of a diagnostic decision support system in the diagnosis of three representative rheumatic diseases: a randomized controlled trial among medical students

Background An increasing number of diagnostic decision support systems (DDSS) exist to support patients and physicians in establishing the correct diagnosis as early as possible. However, little evidence exists that supports the effectiveness of these DDSS. The objectives were to compare the diagnos...

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Bibliographic Details
Published in:Arthritis research & therapy 2021-09, Vol.23 (1), p.233-10, Article 233
Main Authors: Knitza, Johannes, Tascilar, Koray, Gruber, Eva, Kaletta, Hannah, Hagen, Melanie, Liphardt, Anna-Maria, Schenker, Hannah, Krusche, Martin, Wacker, Jochen, Kleyer, Arnd, Simon, David, Vuillerme, Nicolas, Schett, Georg, Hueber, Axel J.
Format: Article
Language:English
Subjects:
Academic achievement
Accuracy
Apps
Arthritis
Artificial intelligence
Clinical decision support system
Clinical trials
Confidence intervals
Decision support systems
Diagnosis
eHealth
Evaluation
Health aspects
Humans
Life Sciences
Likert scale
Lupus
Medical diagnosis
Medical students
Medicine
Medicine & Public Health
Orthopedics
Patient satisfaction
Physicians
Probability
Research Article
Rheumatic diseases
Rheumatic Diseases - diagnosis
Rheumatoid arthritis
Rheumatology
Software
Students, Medical
Training
Usability
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