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

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Jannik Schaaf - , Medical Informatics Group (MIG), University Hospital Frankfurt (Author)
  • Martin Boeker - , University Medical Center Freiburg (Author)
  • Thomas Ganslandt - , University Medicine Mannheim (Author)
  • Christian Haverkamp - , University Medical Center Freiburg (Author)
  • Tim Hermann - , Otto von Guericke University Magdeburg (Author)
  • Dennis Kadioglu - , University Hospital Frankfurt (Author)
  • Hans-Ulrich Prokosch - , Friedrich-Alexander University Erlangen-Nürnberg (Author)
  • Thomas O F Wagner - , Frankfurt Reference Center for Rare Diseases, University Hospital Frankfurt (Author)
  • Michael von Wagner - , University Hospital Frankfurt (Author)
  • Johanna Schaefer - , University Hospital Frankfurt (Author)
  • Martin Sedlmayr - , Institute for Medical Informatics and Biometry (Author)
  • Holger Storf - , University Hospital Frankfurt (Author)

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.

Details

Original languageEnglish
Pages (from-to)1580-1581
Number of pages2
JournalStudies in health technology and informatics
Volume264
Publication statusPublished - 21 Aug 2019
Peer-reviewedYes

External IDs

Scopus 85071422874
ORCID /0000-0002-9888-8460/work/142254105

Keywords

Keywords

  • Decision Support Systems, Clinical, Germany, Hospitals, University, Humans, Physicians