Data Collection in Multiple Sclerosis: The MSDS Approach

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Tjalf Ziemssen - , Zentrum für klinische Neurowissenschaften, Universitätsklinikum Carl Gustav Carus Dresden (Autor:in)
  • Raimar Kern - , MedicalSyn GmbH (Autor:in)
  • Isabel Voigt - , Klinik und Poliklinik für Neurologie (Autor:in)
  • Rocco Haase - , Zentrum für klinische Neurowissenschaften, Universitätsklinikum Carl Gustav Carus Dresden (Autor:in)

Abstract

Multiple sclerosis (MS) is a frequent chronic inflammatory disease of the central nervous system that affects patients over decades. As the monitoring and treatment of MS become more personalized and complex, the individual assessment and collection of different parameters ranging from clinical assessments via laboratory and imaging data to patient-reported data become increasingly important for innovative patient management in MS. These aspects predestine electronic data processing for use in MS documentation. Such technologies enable the rapid exchange of health information between patients, practitioners, and caregivers, regardless of time and location. In this perspective paper, we present our digital strategy from Dresden, where we are developing the Multiple Sclerosis Documentation System (MSDS) into an eHealth platform that can be used for multiple purposes. Various use cases are presented that implement this software platform and offer an important perspective for the innovative digital patient management in the future. A holistic patient management of the MS, electronically supported by clinical pathways, will have an important impact on other areas of patient care, such as neurorehabilitation.

Details

OriginalspracheEnglisch
Seiten (von - bis)445
FachzeitschriftFrontiers in neurology
Jahrgang11
PublikationsstatusVeröffentlicht - 2020
Peer-Review-StatusJa

Externe IDs

PubMedCentral PMC7308591
Scopus 85087317020
ORCID /0000-0003-2465-4909/work/142236923
ORCID /0000-0003-0097-8589/work/146644023
ORCID /0000-0001-8799-8202/work/171553356

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