Literature DB >> 31438241

Finding the Needle in the Hay Stack: An Open Architecture to Support Diagnosis of Undiagnosed Patients.

Jannik Schaaf1, Martin Boeker2, Thomas Ganslandt3, Christian Haverkamp4, Tim Hermann5, Dennis Kadioglu1, Hans-Ulrich Prokosch6, Thomas O F Wagner7, Michael von Wagner8, Johanna Schaefer1, Martin Sedlmayr9, Holger Storf1.   

Abstract

Clinical Decision Support Systems (CDSS) are promising to support physicians in finding the right diagnosis of patients with rare diseases (RD). The MIRACUM consortium, which includes ten university hospitals in Germany, will establish a diagnosis support system for RD. This system conducts a similarity analysis on distributed clinical data with the aim to identify similar patient cases at each MIRACUM site to offer the physician a hint to a possible diagnosis.

Entities:  

Keywords:  Clinical Decision Support; Data Science; Rare Diseases

Mesh:

Year:  2019        PMID: 31438241     DOI: 10.3233/SHTI190544

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  Evaluation of a clinical decision support system for rare diseases: a qualitative study.

Authors:  Jannik Schaaf; Martin Sedlmayr; Brita Sedlmayr; Hans-Ulrich Prokosch; Holger Storf
Journal:  BMC Med Inform Decis Mak       Date:  2021-02-18       Impact factor: 2.796

Review 2.  Diagnosis support systems for rare diseases: a scoping review.

Authors:  Carole Faviez; Xiaoyi Chen; Nicolas Garcelon; Antoine Neuraz; Bertrand Knebelmann; Rémi Salomon; Stanislas Lyonnet; Sophie Saunier; Anita Burgun
Journal:  Orphanet J Rare Dis       Date:  2020-04-16       Impact factor: 4.123

3.  Interviews with experts in rare diseases for the development of clinical decision support system software - a qualitative study.

Authors:  Jannik Schaaf; Hans-Ulrich Prokosch; Martin Boeker; Johanna Schaefer; Jessica Vasseur; Holger Storf; Martin Sedlmayr
Journal:  BMC Med Inform Decis Mak       Date:  2020-09-16       Impact factor: 2.796

  3 in total

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