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RD-MON - Building a Rare Disease Monitor to Enhance Awareness for Patients with Rare Diseases in Intensive Care.
Blasini, Romina; Michel-Backofen, Achim; Schneider, Henning; Marquardt, Kurt.
Affiliation
  • Blasini R; Department of medical informatics, University of Gießen, Germany.
  • Michel-Backofen A; Department of clinical and administrative data processing, University Hospital of Gießen and Marburg, site Gießen, Germany.
  • Schneider H; Department of medical informatics, University of Gießen, Germany.
  • Marquardt K; Department of clinical and administrative data processing, University Hospital of Gießen and Marburg, site Gießen, Germany.
Stud Health Technol Inform ; 302: 358-359, 2023 May 18.
Article in En | MEDLINE | ID: mdl-37203683
Rare diseases are commonly defined by an incidence of less than 5/10000 inhabitants. There are some 8000 different rare diseases known. So even if a single rare disease is seldom, together they pose a relevant problem for diagnosis and treatment. This is especially true if a patient is treated for another common disease. University hospital of Gießen is part of the CORD-MI Project on rare diseases within the German Medical Informatics Initiative (MII) and a member of the MIRACUM consortium within the MII. As part of the ongoing Development for a clinical research study monitor within the use case 1 of MIRACUM, the study monitor has been configured to detect patients with rare diseases during their routine clinical encounters. The goal was to send a documentation request to the corresponding patient chart within the patient data management system for extended disease documentation to enhance clinical awareness for the patients' potential problems. The project was started in late 2022 and has so far been successfully tuned to detect patients with Mucoviscidosis and place notifications within the patient chart of the patient data management system (PDMS) on intensive care units.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Critical Care / Rare Diseases Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2023 Document type: Article Affiliation country: Germany Country of publication: Netherlands

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Critical Care / Rare Diseases Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2023 Document type: Article Affiliation country: Germany Country of publication: Netherlands