Enterprise AI Analysis
Implementing body composition assessment into clinical practice in patients with acute spinal cord injury- a pilot feasibility study
This pilot feasibility study investigated the implementation of a SCI-specific care pathway for body composition assessment (ATSCI-Nut) in patients with new traumatic spinal cord injury, exploring feasibility, patient experiences, and clinician perspectives.
Executive Impact
Key performance indicators from the pilot study, demonstrating the potential for enhanced patient care and operational insights.
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Consent Rate (21/23 eligible)
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Initial Pathway Adherence
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All BIS Measurements Completed
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Dietary Guidance Impact
Deep Analysis & Enterprise Applications
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Study Goals for Enhanced SCI Care
This study aimed to: (1) implement a SCI-specific care pathway for body composition assessment (ATSCI-Nut); (2) pilot test the feasibility (reach, adoption, adherence, appropriateness, and acceptability) of the care pathway in patients with new traumatic SCI; (3) explore patient experiences with the care pathway and the effect of providing body composition information on dietary choices and (4) explore clinician experiences with the new care pathway.
ATSCI-Nut
SCI-Specific Care Pathway Implemented
The primary objective was the successful integration of the ATSCI-Nut pathway, using bioimpedance spectroscopy and SCI-specific energy prediction equations, into clinical practice to guide nutritional management for acute SCI patients.
Enterprise Process Flow
The ATSCI-Nut care pathway standardized body composition assessment using bioimpedance spectroscopy (BIS) to inform dietary management for patients with acute spinal cord injury.
Enterprise Process Flow
New admission to acute & direct admission to rehabilitation
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Dietitian Triage
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Initial Dietetic Assessment
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Dietetic Review: min every 2 weeks (weeks 2-8 post SCI)
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% Body fat stable or increasing or % body fat >22% male/>35% female?
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Goal setting and healthy diet counselling with dietitian +/- exercise physiologist
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Dietetic Review: every 5 weeks until discharge from dietetics or hospital
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Discharge: Arrange dietetic follow up if required
Evaluating Pathway Adherence & Impact
The pilot study demonstrated varied adherence rates across different components of the ATSCI-Nut pathway, highlighting areas of strength and opportunities for improvement in clinical practice.
| Pathway Component | Adherence Rate | Implications |
|---|---|---|
| Initial Assessment (within 24/48h) | 86% | High initial engagement, crucial for early intervention. |
| Fortnightly Reviews (weeks 2-8) | 71% | Moderate adherence, indicating challenges in consistent follow-up during early rehabilitation. |
| 5-Weekly Reviews (>8 weeks) | 69% | Slightly lower adherence in later stages, possibly due to patient movement or competing priorities. |
| BIS Measurements (when due) | 69% | Technical measurement adherence was moderate. |
| All BIS Measurements Completed | 43% | Significant challenge in completing the full measurement schedule, impacting comprehensive monitoring. |
Patient and clinician feedback revealed that while body composition information was highly valued for motivation and tailored care, practical barriers such as patient unavailability, medical complications, and time constraints significantly impacted consistent adherence.
Optimizing Pathway for Future Success
The ATSCI-Nut pathway is a feasible and acceptable model, but adaptations are needed to improve adherence. Recommendations include reducing the frequency of BIS assessments, prioritising measurements for specific patient groups (e.g., incomplete injuries, those with FES cycling), improving real-time feedback mechanisms via mobile devices, and providing more individualized, detailed dietary advice. Addressing these barriers will enhance pathway effectiveness and patient outcomes.
Case Study: Pathway Adaptations for Enhanced Adherence
Challenge: Low overall adherence (43%) to completing all scheduled BIS measurements due to patient unavailability, medical complications, and competing clinical priorities.
Solution: Implement a tiered approach to BIS measurements, prioritizing patients with incomplete injuries or those undergoing FES cycling, where body composition changes are most dynamic and intervention impact is highest. Develop a mobile application for instant calculation and graphical presentation of BIS results to facilitate real-time feedback to patients and clinicians, reducing communication delays.
Outcome: Anticipated increase in adherence for targeted patient groups, improved patient engagement through immediate feedback, and more efficient use of clinical resources by focusing on high-impact interventions. This strategic adaptation transforms challenges into opportunities for optimized patient care and resource allocation.
Calculate Your Potential ROI
Estimate the efficiency gains and cost savings your enterprise could achieve by optimizing care pathways with AI-driven insights.
Annual Cost Savings
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Annual Hours Reclaimed
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Your Implementation Roadmap
A typical phased approach to integrating AI-powered insights into your enterprise operations for maximum impact.
Phase 1: Discovery & Strategy
Comprehensive assessment of current workflows, identification of key pain points, and definition of strategic objectives for AI integration. Establish project team and success metrics.
Phase 2: Pilot & Validation
Deployment of AI solutions in a controlled environment, focusing on a specific department or process. Collect data, measure impact, and refine the solution based on initial results and feedback.
Phase 3: Scaled Deployment
Gradual rollout of the validated AI solution across the organization. Develop training programs, update policies, and ensure seamless integration with existing IT infrastructure.
Phase 4: Optimization & Expansion
Continuous monitoring of performance, identifying new opportunities for AI application, and iterative refinement of deployed solutions to maximize long-term ROI and efficiency.
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