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Main address: Margarethenstrasse 47 4053 Basel, Switzerland ,
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Clinerion Patient Network Explorer

Clinerion Patient Network Explorer

Optimized study design, precise site selection and faster patient search and identification for clinical research - in real time.

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Clinerion White Paper: Identifying undiagnosed rare disease patients by modelling disease-specific phenotypes using EHR data

Alleviating the suffering of rare disease patients caused by incorrect diagnosis through use of Clinerion’s Patient Network Explorer, global patient data network and AI/ML technologies.

Rare diseases, by nature of being rare, often go undiagnosed or are misdiagnosed, and for these reasons, rare disease patients may not receive the right treatment. For many rare diseases – and there are currently more than 6,000 – there is strong evidence that at least 50% of patients are never correctly diagnosed due to heterogeneous presentation, lack of medical expertise in recognizing symptoms and limited access to the specific diagnostic tests required. Rare diseases often present with different symptoms, which can cause a significant delay in diagnosis; this situation affects not only the patient, but also the family, health care providers and social support structure.

This white paper presents Clinerion's work on identifying undiagnosed rare disease patients by modelling disease-specific phenotypes through use of Clinerion’s Patient Network Explorer, global patient EHR network and AI/ML technologies.

Please fill in the form below to gain access to this white paper.

White paper version published April, 2022.

Access the white paper:


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The legal address of Clinerion: Clinerion Ltd, Elisabethenanlage 11, 4051 Basel, Switzerland. e-Mail address