A Neurosurgeon's Guide to Mobile Health Application Development With a Case Study for Cervical Myelopathy

The integration of mobile health (mHealth) technologies is transforming neurosurgery. Despite its potential, many uses remain unrealized due to the unique challenges and complexity of developing mHealth technology. While neurosurgeons bring invaluable clinical expertise and an understanding of patient needs, the technical intricacies of application development often require collaboration with developers and computer scientists, a process that can feel unfamiliar and difficult to navigate. The aim of this article was to demystify mHealth development by providing a guide for neurosurgeons seeking to develop disease-specific mHealth applications. We outline this process using the development of SynapTrack, an mHealth tool designed to provide objective assessments of degenerative cervical myelopathy, a chronic condition caused by symptomatic compression of the cervical spinal cord. This article offers neurosurgeons concrete guidance on navigating key considerations such as design decisions, algorithm integration, database architecture, and data security. By grounding these insights with SynapTrack, this guide offers a transparent view into the development process and provides a practical framework that can be adapted to the development of other mHealth tools. The aim of this work was to foster interdisciplinary collaboration and enable neurosurgeons to develop mHealth applications tailored to the specific needs of their specialty.

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Publication Details

Journal
Neurosurgery
Published
2025-09-09
DOI
https://doi.org/10.1227/neu.0000000000003717
Citations
1
Primary Topic
Technology Use by Older Adults
Type
article
Field-Weighted Citation Impact
5.59
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article

A Neurosurgeon's Guide to Mobile Health Application Development With a Case Study for Cervical Myelopathy

Jacob K. Greenberg, Michael P. Steinmetz, Brian P. Johnson, Pranay Singh et al.
1 citations
Neurosurgery
Technology Use by Older Adults
5.59
article

A Neurosurgeon's Guide to Mobile Health Application Development With a Case Study for Cervical Myelopathy

Jacob K. Greenberg, Michael P. Steinmetz, Brian P. Johnson, Pranay Singh, Ben Steel, Zachary Wilt, Caitlin Kelleher, Ryan P. Duncan, Chen Er-dong, Zoher Ghogawala, Jetan H. Badhiwala, Wilson Z. Ray, Salim Yakdan, Mohamad Bydon, Nicolas Chicoine
article en
1 citations

Abstract

The integration of mobile health (mHealth) technologies is transforming neurosurgery. Despite its potential, many uses remain unrealized due to the unique challenges and complexity of developing mHealth technology. While neurosurgeons bring invaluable clinical expertise and an understanding of patient needs, the technical intricacies of application development often require collaboration with developers and computer scientists, a process that can feel unfamiliar and difficult to navigate. The aim of this article was to demystify mHealth development by providing a guide for neurosurgeons seeking to develop disease-specific mHealth applications. We outline this process using the development of SynapTrack, an mHealth tool designed to provide objective assessments of degenerative cervical myelopathy, a chronic condition caused by symptomatic compression of the cervical spinal cord. This article offers neurosurgeons concrete guidance on navigating key considerations such as design decisions, algorithm integration, database architecture, and data security. By grounding these insights with SynapTrack, this guide offers a transparent view into the development process and provides a practical framework that can be adapted to the development of other mHealth tools. The aim of this work was to foster interdisciplinary collaboration and enable neurosurgeons to develop mHealth applications tailored to the specific needs of their specialty.

NeurosurgeryVol. 98(4)
Mayo Clinic (US), University of Toronto (CA), Washington University in St. Louis (US), Cleveland Clinic Lerner College of Medicine (US), Rothman Orthopaedics (US), Rothman Institute (US), UMass Memorial Medical Center (US)
Openalex Percentile: Top 4%
Technology Use by Older Adults
5.59
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