Weekly MSK Literature Review

Monday: Responsible AI in Long-Term Care (LTC)

Main Points

• Care-Centric Definition: Developed via co-production with 100+ stakeholders, responsible AI must support, not undermine, human rights, dignity, and autonomy.

• Relational Integrity: A core finding emphasizes that AI systems should enhance, rather than replace, human interactions or care provision.

• Governance Gaps: Authors identified that generic healthcare AI frameworks fail to address the specific social and rights-based dimensions of long-term care.

• Risk Mitigation: The paper outlines specific risks of "outcome-driven" AI, including ageism, ableism, and the erosion of human contact.

• Co-production Requirement: Successful AI implementation requires embedding care recipients and staff in every stage, from design to evaluation.

Clinical Significance

Clinicians and administrators must shift from viewing AI as a "workforce shortage solution" to a relational support tool. Decisions to implement AI should be audited against their impact on patient dignity and the preservation of the caregiver-patient bond rather than just administrative efficiency.

Citation

Emmer De Albuquerque Green, C., Reinmund, T., Hamblin, K., & Sinha, S. K. (2026). Responsible use of artificial intelligence in the provision of long-term care for older people: A care-centric approach. The Lancet Healthy Longevity. Advance online publication. https://doi.org/10.1016/j.lanhl.2026.100817

Tuesday: The Future of Human Agency

Main Points

• The 2035 Split: 56% of experts believe humans will lose control over essential decision-making to AI, while 44% expect systems to be designed for human agency.

• Power Concentration: A primary concern is that AI is currently built by "powerful elites" with little incentive to empower individual users.

• Convenience vs. Autonomy: There is a significant trend of "outsourcing" cognitive tasks to opaque systems, leading to a gradual erosion of personal choice.

• Adaptive Regulation: Optimists argue that humans and tech will co-evolve, with new norms and literacies emerging to maintain human-in-the-loop oversight.

Clinical Significance

As MSK care integrates more predictive analytics, practitioners must consciously maintain "clinical agency." There is a high risk of delegating complex diagnostic reasoning to "black box" algorithms, which may prioritize system convenience over individualized patient needs.

Citation

Pew Research Center. (2023, February 24). The future of human agency. https://www.pewresearch.org

Wednesday: Digital Decision Support Tools (DDST) for Back Pain

Main Points

• High Demand, Low Trust: Patients actively seek digital tools to bridge gaps between visits but struggle to distinguish credible evidence from "rubbish" online.

• GP Priorities: General Practitioners value DDSTs primarily for "red flag" screening, triage efficiency, and improving patient health literacy.

• The "Rift" Risk: Clinicians expressed concern that tools used post-visit might contradict their clinical judgment, potentially damaging the therapeutic alliance.

• Continuum of Care: Effective DDSTs should be integrated at three stages: pre-visit (triage), in-visit (shared decision-making), and post-visit (monitoring).

• Personalization: Both groups emphasized that for a tool to be useful, it must move beyond generic advice and offer tailored, contextual feedback.

Clinical Significance

DDSTs are most effective when positioned as "consultation enhancers" rather than standalone solutions. Implementing these tools requires a clear strategy to ensure the information provided aligns with the treating clinician's narrative to prevent patient confusion.

Citation

Goodman, A., Cashin, A. G., Mishra, I., Ryan, M., @McAuley, J. H., & Rizzo, R. R. N. (2026). “A tool to support, not replace”: Patient and general practitioner perceptions of digital decision support tools for back pain. Family Practice, 43(1), 1–9. https://doi.org/10.1093/fampra/cmaf098

Thursday: Remote Therapeutic Monitoring (RTM) in PT

Main Points

• Functional Benchmarks: 72% of PT+RTM patients achieved FOTO functional status benchmarks compared to 63% in the PT-only control group ($p = .004$).

• Care Adherence: RTM users were significantly more likely to attend $>2$ visits per week ($36\%$ vs $24\%$, $p < .001$), suggesting higher engagement.

• Predictive Power: In adjusted models, RTM participation was the only significant predictor of hitting functional benchmarks ($aOR = 1.53$).

• Human-Tech Hybrid: The success was attributed to "Care Navigators" (PTAs) using motivational interviewing to bridge the gap between clinic visits.

Clinical Significance

Hybrid models (in-person + RTM) outperform both traditional PT and digital-only interventions by combining manual expertise with continuous digital oversight. For MSK clinics, RTM is not just a billing code; it is a catalyst for adherence and superior functional recovery.

Citation

Marshall, T., Goldman, A., Lyles, R., Grundstein, M. J., & Gruner, M. (2025). Retrospective case-control study on the effect of in-person physical therapy with remote therapeutic monitoring on functional outcomes and plan of care adherence amongst individuals with musculoskeletal conditions. Archives of Rehabilitation Research & Clinical Translation, 7, 100466. https://doi.org/10.1016/j.arrct.2025.100466

Friday: Physical Activity and Longevity

Main Points

• Age-Specific Potency: Physical activity (PA) has the strongest association with reduced mortality in the 70–79 age bracket compared to other modifiable risks.

• Risk Factor Hierarchy: In older age, PA compares favorably to managing hypertension or diabetes for preventable death reduction.

• Dose Nuance: Mortality benefits were most pronounced above 15 MET-hours/week, though any activity level provided some measurable benefit.

• Sustained Lifestyle: Evidence suggests a "sufficiently active lifestyle" must be maintained for years to realize maximum cardiovascular and mortality benefits.

• Systems Approach: Success requires moving beyond "individual willpower" to community and environmental designs that facilitate movement.

Clinical Significance

Movement is the primary "medicine" for aging populations. Clinical interventions for older adults should prioritize physical activity as a core therapy, equivalent to or more important than pharmaceutical management of chronic conditions, to maximize life expectancy and function.

Citation

Jakicic, J. M. (2024). Physical activity and reduced mortality regardless of age: Considerations for public health. JAMA Network Open, 7(11), e2446811. https://doi.org/10.1001/jamanetworkopen.2024.46811

Weekly Themes & Strategic Insights

1. The "Support, Not Replace" Paradigm:

   Evidence from multiple papers (Emmer De Albuquerque Green; Goodman) converges on the idea that technology must remain subordinate to human relationships. Whether in long-term care or back pain management, the goal of tech is to enhance the clinician-patient bond, not automate it away.

2. Hybridization as the Gold Standard:

   The evidence (Marshall; Goodman) suggests that neither "purely digital" nor "purely manual" is optimal. The integration of digital monitoring and decision support into physical clinics (Hybrid PT) drives better functional outcomes and higher patient engagement.

3. Human Agency vs. Opaque Algorithms:

   A significant tension exists between the potential of AI (Pew Research) and the ethical necessity for human-centric care (Emmer De Albuquerque Green). Without intentional design, AI risks becoming a tool for efficiency that strips away the dignity and choice of both the clinician and the patient.

4. Activity as the Critical Lifespan Lever:

   Physical activity is not just a wellness "add-on" but the most potent modifiable risk factor for mortality, particularly in older adults (Jakicic). This reinforces the need for MSK providers to serve as primary longevity coaches within the healthcare system.

5. The Role of Care Navigation:

   Technology alone does not change behavior; the human element, such as the "Care Navigators" in the RTM study (Marshall), is what translates digital data into clinical adherence and functional gains.

Implications for MSK Care Delivery, Technology, and Strategy

• [Care Delivery]: Transition outpatient clinics to hybrid models that utilize RTM to maintain "eyes on the patient" between visits, directly improving functional outcomes.

• [Technology Development]: Focus AI and DDST design on "pre-visit" triage and "post-visit" reinforcement to reduce the GP burden and align with patient needs.

• [Strategy/Leadership]: Shift the ROI focus for AI from "operational efficiency" to "care quality and relationship preservation" to avoid ethical and regulatory pitfalls.

• [Risk Stratification]: Use digital tools to identify "red flags" earlier in the patient journey (Goodman), allowing for more efficient resource allocation.

• [Patient Engagement]: Leverage RTM and DDSTs to improve health literacy, as patients who understand their condition are more likely to hit functional benchmarks (Marshall).

• [Public Health]: Prioritize physical activity programs for the 70+ demographic as a high-value strategy for reducing system-wide mortality and costs (Jakicic).

Bottom line: The future of MSK care is a human-tech hybrid where digital tools provide the data and monitoring, but clinicians provide the relational guidance and ethical oversight necessary to drive real functional recovery and longevity.