2 results match your criteria: "Carl Gustav Carus Faculty of Medicine Technical University of Dresden[Affiliation]"
Visualization of Similar Patients in a Clinical Decision Support System for Rare Diseases - A Focus Group Study.
Stud Health Technol Inform
May 2021
Medical Informatics Group, University Hospital Frankfurt, Frankfurt, Germany.
The diagnosis of patients with rare diseases is often delayed. A Clinical Decision Support System using similarity analysis of patient-based data may have the potential to support the diagnosis of patients with rare diseases. This qualitative study has the objective to investigate how the result of a patient similarity analysis should be presented to a physician to enable diagnosis support.
View Article and Find Full Text PDFInterviews with experts in rare diseases for the development of clinical decision support system software - a qualitative study.
BMC Med Inform Decis Mak
September 2020
Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine Technical University of Dresden, Dresden, Germany.
Background: Patients with rare diseases (RDs) are often diagnosed too late or not at all. Clinical decision support systems (CDSSs) could support the diagnosis in RDs. The MIRACUM (Medical Informatics in Research and Medicine) consortium, which is one of four funded consortia in the German Medical Informatics Initiative, will develop a CDSS for RDs based on distributed clinical data from ten university hospitals.
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