This paper is in the following e-collection/theme issue:

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (542) Human Factors and Usability Case Studies (747) Participatory Medicine & E-Patients (758) Patient-Reported Outcome Measures (PROMs) (275) Precision Medicine (64) Visualization in eHealth (54) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15605, first published .
A Precision Medicine Tool for Patients With Multiple Sclerosis (the Open MS BioScreen): Human-Centered Design and Development

A Precision Medicine Tool for Patients With Multiple Sclerosis (the Open MS BioScreen): Human-Centered Design and Development

A Precision Medicine Tool for Patients With Multiple Sclerosis (the Open MS BioScreen): Human-Centered Design and Development

Authors of this article:

Erica Schleimer1 Author Orcid Image ;   Jennifer Pearce2 Author Orcid Image ;   Andrew Barnecut1 Author Orcid Image ;   William Rowles1 Author Orcid Image ;   Antoine Lizee1 Author Orcid Image ;   Arno Klein3 Author Orcid Image ;   Valerie J Block1 Author Orcid Image ;   Adam Santaniello1 Author Orcid Image ;   Adam Renschen1 Author Orcid Image ;   Refujia Gomez1 Author Orcid Image ;   Anisha Keshavan1 Author Orcid Image ;   Jeffrey M Gelfand1 Author Orcid Image ;   Roland G Henry1 Author Orcid Image ;   Stephen L Hauser1 Author Orcid Image ;   Riley Bove1 Author Orcid Image
Article Authors Cited by (18) Tweetations (5) Metrics

Journals

  1. Scholz M, Haase R, Schriefer D, Voigt I, Ziemssen T. Electronic Health Interventions in the Case of Multiple Sclerosis: From Theory to Practice. Brain Sciences 2021;11(2):180 View
  2. Inojosa H, Akgün K, Haacke K, Ziemssen T. MSProDiscuss – Entwicklung eines digitalen Tools zur standardisierten Patientenanamnese, um Progredienz bei Multipler Sklerose zu identifizieren. Fortschritte der Neurologie · Psychiatrie 2021;89(07/08):374 View
  3. Voigt I, Inojosa H, Dillenseger A, Haase R, Akgün K, Ziemssen T. Digital Twins for Multiple Sclerosis. Frontiers in Immunology 2021;12 View
  4. Tseng C, Chen R, Tsai S, Wu T, Tsaur W, Chiu H, Yang C, Lo Y. Exploring the COVID-19 Pandemic as a Catalyst for Behavior Change Among Patient Health Record App Users in Taiwan: Development and Usability Study. Journal of Medical Internet Research 2022;24(1):e33399 View
  5. Ed‐driouch C, Chéneau F, Simon F, Pasquier G, Combès B, Kerbrat A, Le Page E, Limou S, Vince N, Laplaud D, Mars F, Dumas C, Edan G, Gourraud P. Multiple sclerosis clinical decision support system based on projection to reference datasets. Annals of Clinical and Translational Neurology 2022;9(12):1863 View
  6. Polhemus A, Novak J, Majid S, Simblett S, Morris D, Bruce S, Burke P, Dockendorf M, Temesi G, Wykes T. Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User Perspectives. JMIR Mental Health 2022;9(4):e25249 View
  7. Rodriguez N, Burleson G, Linnes J, Sienko K. Thinking Beyond the Device: An Overview of Human- and Equity-Centered Approaches for Health Technology Design. Annual Review of Biomedical Engineering 2023;25(1):257 View
  8. Evans L, Evans J, Pagliari C, Källander K. Scoping review: exploring the equity impact of current digital health design practices. Oxford Open Digital Health 2023;1 View
  9. Jonsson M, Johansson S, Hussain D, Gulliksen J, Gustavsson C. Development and Evaluation of eHealth Services Regarding Accessibility: Scoping Literature Review. Journal of Medical Internet Research 2023;25:e45118 View
  10. Block V, Koshal K, Wijangco J, Miller N, Sara N, Henderson K, Reihm J, Gopal A, Mohan S, Gelfand J, Guo C, Oommen L, Nylander A, Rowson J, Brown E, Sanders S, Rankin K, Lyles C, Sim I, Bove R. A Closed-Loop Falls Monitoring and Prevention App for Multiple Sclerosis Clinical Practice: Human-Centered Design of the Multiple Sclerosis Falls InsightTrack. JMIR Human Factors 2024;11:e49331 View
  11. Podda J, Pedullà L, Brichetto G, Tacchino A. Evaluating Cognitive-Motor Interference in Multiple Sclerosis: A Technology-Based Approach. Bioengineering 2024;11(3):277 View
  12. Henderson K, Reihm J, Koshal K, Wijangco J, Sara N, Miller N, Doyle M, Mallory A, Sheridan J, Guo C, Oommen L, Rankin K, Sanders S, Feinstein A, Mangurian C, Bove R. A Closed-Loop Digital Health Tool to Improve Depression Care in Multiple Sclerosis: Iterative Design and Cross-Sectional Pilot Randomized Controlled Trial and its Impact on Depression Care. JMIR Formative Research 2024;8:e52809 View
  13. Simblett S, Dawe-Lane E, Gilpin G, Morris D, White K, Erturk S, Devonshire J, Lees S, Zorbas S, Polhemus A, Temesi G, Cummins N, Hotopf M, Wykes T. Data visualization preferences in remote measurement technology for individuals living with depression, epilepsy, and multiple sclerosis: a qualitative study (Preprint). Journal of Medical Internet Research 2022 View
  14. Demuth S, Ed‐Driouch C, Dumas C, Laplaud D, Edan G, Vince N, De Sèze J, Gourraud P. Scoping review of clinical decision support systems for multiple sclerosis management: Leveraging information technology and massive health data. European Journal of Neurology 2024 View

Books/Policy Documents

  1. Ren S, Shen B. Translational Informatics. View
  2. Hansen C, Ringel M, Evans L, Evans J. Digital Respiratory Healthcare. View
  3. Yrttiaho T, Mylonopoulou V, Giunti G, Isomursu M. Digital Health and Wireless Solutions. View