An ID-Associated Application to Facilitate Patient-Tailored Management of Multiple Sclerosis
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Published:2021-08-12
Issue:8
Volume:11
Page:1061
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ISSN:2076-3425
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Container-title:Brain Sciences
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language:en
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Short-container-title:Brain Sciences
Author:
Lang Michael,Rau Daniela,Cepek Lukas,Cürten Fia,Ringbauer Stefan,Mayr Martin
Abstract
Despite improvements in diagnosis and treatment, multiple sclerosis (MS) is the leading neurological cause of disability in young adults. As a chronic disease, MS requires complex and challenging management. In this context, eHealth has gained an increasing relevance. Here, we aim to summarize beneficial features of a mobile app recently implemented in clinical MS routine as well as beyond MS. PatientConcept is a CE-certified, ID-associated multilingual software application allowing patients to record relevant health data without disclosing any identifying data. Patients can voluntarily share their health data with selected physicians. Since its implementation in 2018, about 3000 MS patients have used PatientConcept. Initially developed as a physician–patient communication platform, the app maps risk management plans of all current disease modifying therapies and thereby facilitates adherence to specified monitoring appointments. It also allows continuous monitoring of various PROs (Patient Reported Outcomes), enabling a broad overview of the disease course. In addition, various studies/projects currently assess monitoring, follow-up, diagnostics and telemetric evaluations of patients with other diseases beyond MS. Altogether, PatientConcept offers a broad range of possibilities to support physician–patient communication, implementation of risk management plans and assessment of PROs. It is a promising tool to facilitate patient-tailored management of MS and other chronic diseases.
Funder
PatientConcept system has received financial support from the Bavarian state, Neuropoint Patient Academy and Systemhaus Ulm, Almirall, Alnylam, Bayer, Biogen, Novartis, Roche, Sanofi Genzyme and Teva.
Subject
General Neuroscience
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