ArticleOrphanet journal of rare diseases2024
Coding undiagnosed rare disease patients in health information systems: recommendations from the RD-CODE project.
Article in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Diagnostic Code Ambiguity and Misclassification of Adults With Spinal Muscular Atrophy: Single-Center Chart Review.JMIR medical informatics · 2026Article
- The Orphanet Nomenclature and Classification of Rare Diseases for Improved Patient Recognition and Data Interoperability: Qualitative and Quantitative Analysis.JMIR medical informatics · 2026Article
- Extracting homogenous data from heterogenous diseases: RaraSwed, the Swedish national rare disease quality registry.BMC global and public health · 2026Review
- Underutilization of syndrome-specific ICD-10 codes for genetic epilepsies: Implications for precision medicine.Epilepsia · 2026Article
- Detecting comorbidity patterns in rare disease patients with machine learning.Frontiers in epidemiology · 2026Article
- The challenge of persistent physical symptoms.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025Article
- Diagnostic Impasse and Wandering in Patients With Rare Neuromuscular Diseases: Insights Into Patient Characteristics From the French National Network for Rare Neuromuscular Diseases (FILNEMUS) and the French National Rare Disease Database (BNDMR).European journal of neurology · 2025Article
- An ontology-based rare disease common data model harmonising international registries, FHIR, and Phenopackets.Scientific data · 2025Article
- Identification of strengths and weaknesses of the healthcare system for persons living with rare diseases in Catalonia (Spain), and recommendations to improve its comprehensive attention: the "acERca las enfermedades raras" project.Orphanet journal of rare diseases · 2025Article
- The role of public health in rare diseases: hemophilia as an example.Frontiers in public health · 2025Review
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Abstract
backgroundIn European Union countries, any disease affecting less than 5 people in 10,000 is considered rare. As expertise is scarce and rare diseases (RD) are complex, RD patients can remain undiagnosed for many years. The period of searching for a diagnosis, called diagnostic delay, sometimes leads to a diagnostic dead end when the patient's disease is impossible to diagnose after undergoing all available investigations. In recent years, extensive efforts have been made to support the implementation of ORPHA nomenclature in health information systems (HIS) so as to allow RD coding. Until recently, the nomenclature only encompassed codes for specific RD. Persons suffering from a suspected RD who could not be diagnosed even after full investigation, could not be coded with ORPHAcodes. The recognition of the RD status is necessary for patients, even if they do not have a precise diagnosis. It can facilitate reimbursement of care, be socially and psychologically empowering, and grant them access to scientific advances.
resultsThe RD-CODE project aimed at making those patients identifiable in HIS in order to produce crucial epidemiological data. Undiagnosed patients were defined as patients for whom no clinically-known disorder could be confirmed by an expert center after all reasonable efforts to obtain a diagnosis according to the state-of-the-art and diagnostic capabilities available. Three recommendations for the coding of undiagnosed RD patients were produced by a multi-stakeholder panel of experts: 1/ Capture the diagnostic ascertainment for all rare disease cases; 2/ Use the newly created ORPHAcode (ORPHA:616874 "Rare disorder without a determined diagnosis after full investigation"), available in the Orphanet nomenclature: as the code is new, guidelines are essential to ensure its correct and homogeneous use for undiagnosed patients' identification in Europe and beyond; 3/ Use additional descriptors in registries.
conclusionsThe recommendations can now be implemented in HIS (electronic health records and/or registries) and could be a game-changer for patients, clinicians and researchers in the field, enabling assessment of the RD population, including undiagnosed patients, adaptation of policy measures including financing for care and research programs, and to improved access of undiagnosed patients to research programs.
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