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Guest Editor’s Commentary

The Journal of Spinal Cord Medicine, 2014 · DOI: 10.1179/1079026814Z.000000000338 · Published: January 1, 2014

Spinal Cord InjuryBioinformaticsRehabilitation

Simple Explanation

Bioinformatics offers the opportunity to leverage collaborations to define and deliver optimal care based on individual impairments, neuro-recovery, genetic makeup, and physiology. Evidence-informed rehabilitation, coupled with individual health status and social supports, is a game changer for optimizing quality of life. This special issue and conference are intended to prompt dialogue and collaboration to enable Bioinformatics' data to routinely inform SCI Rehabilitation.

Study Duration
Not specified
Participants
Not specified
Evidence Level
Not specified

Key Findings

  • 1
    The development of large longitudinal datasets represents an unprecedented opportunity for combining data across fields.
  • 2
    Data linkage can provide multitude of opportunities given the joint perils of a relatively rare condition and substantial impairment heterogeneity.
  • 3
    Meaningful outcomes for individuals may require additional resources and innovative approaches to service delivery.

Research Summary

Bioinformatics provides an opportunity to leverage collaborations to define and deliver Optimal Care for Spinal Cord Injury (SCI) patients. Large longitudinal datasets offer opportunities for combining data across various fields to improve rehabilitation outcomes. Challenges include securing financial resources, keeping pace with discoveries, and implementing rapid cycles of discovery and service.

Practical Implications

Personalized Rehabilitation

Customizing rehabilitation programs based on individual patient characteristics and data analysis.

Interdisciplinary Collaboration

Fostering collaboration among various fields to leverage data for better SCI care.

Resource Allocation

Advocating for sustained financial and staffing resources to support bioinformatics in SCI rehabilitation.

Study Limitations

  • 1
    Financial and staffing resource constraints
  • 2
    Keeping pace with evolving discoveries
  • 3
    Establishing mechanisms for rapid service implementation

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