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. 2021 Aug;11(4):318-326.
doi: 10.1212/CPJ.0000000000000986.

Electronic Health Record Technology Designed for the Clinical Encounter: MS NeuroShare

Riley Bove  1 , Christa A Bruce  1 , Chelsea K Lunders  1 , Jennifer R Pearce  1 , Jacqueline Liu  1 , Erica Schleimer  1 , Stephen L Hauser  1 , Walter F Stewart  1 , J B Jones  1
Affiliations

Electronic Health Record Technology Designed for the Clinical Encounter: MS NeuroShare

Riley Bove et al. Neurol Clin Pract. 2021 Aug.

Abstract

Objective: Advances in medical discoveries have bolstered expectations of precise and complete care, but delivering on such a promise for complex, chronic neurologic care delivery requires solving last-mile challenges. We describe the iterative human-centered design and pilot process for multiple sclerosis (MS) NeuroShare, a digital health solution that brings practical information to the point of care so that clinicians and patients with MS can view, discuss, and make informed decisions together.

Methods: We initiated a comprehensive human-centered process to iteratively design, develop, and implement a digital health solution for managing MS in the routine outpatient setting of the nonprofit Sutter Health system in Northern California. The human-centered codesign process included 3 phases: discovery and design, development, and implementation and pilot. Stakeholders included Sutter Health's Research Development and Dissemination team, academic domain experts, neurologists, patients with MS, and an advisory group.

Results: MS NeuroShare went live in November 2018. It included a patient- and clinician-facing web application that launches from the electronic health record, visually displays a patient's data relevant to MS, and prompts the clinician to comprehensively evaluate and treat the patient. Both patients and clinicians valued the ability to jointly view patient-generated and other data. Preliminary results suggest that MS NeuroShare promotes patient-clinician communication and more active patient participation in decision-making.

Conclusions: Lessons learned in the design and implementation of MS NeuroShare are broadly applicable to the design and implementation of digital tools aiming to improve the experience of delivering and receiving high-quality care for complex, neurologic conditions across large health systems.

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Figures

Figure
Figure. Multiple Sclerosis (MS) NeuroShare Design, Iterative, and Final
(A) Version 2 design of MS NeuroShare. (B) Final design version of MS NeuroShare (live as of November 2018).
See this image and copyright information in PMC

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