Generative Conversations in Physiotherapy
  • Overview
    • Welcome
    • Executive summary
  • Generative AI overview
  • Methods
  • The team
  • Clinical Practice
    • Introduction
    • Opportunities
    • Risks
  • Strategies
  • Guidance for stakeholders
  • Education
    • Introduction
    • Opportunities
  • Risks
  • Strategies
  • Guidance for stakeholders
  • Research
    • Introduction
    • Opportunities
    • Risks
    • Strategies
    • Guidance for stakeholders
  • Synthesis
    • Guidance for stakeholders
    • Looking ahead
    • Conclusion
    • References
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  1. Research

Guidance for stakeholders

Physiotherapy researchers

  • Impact: AI offers powerful tools for literature analysis, data processing, hypothesis generation, and collaboration across distances, potentially accelerating discovery and insight.

  • Guidance: Develop strong AI literacy, maintain critical thinking skills, use AI as a complement to human creativity, document AI methods transparently, and prioritize ethical data use practices.

Research supervisors and mentors

  • Impact: AI changes research supervision dynamics, introducing new tools while raising questions about skills development and research integrity.

  • Guidance: Guide mentees in balancing AI assistance with independent scientific thinking, establish clear expectations for AI use in research projects, and encourage critical evaluation of AI-generated outputs.

Academic institutions

  • Impact: AI integration requires infrastructure investments, policy development, and consideration of research equity across departments.

  • Guidance: Develop comprehensive AI research policies, ensure equitable access to AI tools across research groups, provide technical support for AI implementation, and create ethical review processes for AI-enhanced research.

Journal editors and publishers

  • Impact: AI transforms research production and review processes, requiring new standards for reporting and verification.

  • Guidance: Establish clear guidelines for reporting AI methods in manuscripts, develop processes to verify AI-generated analyses, and consider how to maintain research integrity in an AI-enhanced publication landscape.

Funding bodies

  • Impact: AI potentially changes research funding priorities and creates disparities between resourced and under-resourced institutions.

  • Guidance: Consider equitable funding distribution for AI research capabilities, develop specific funding streams for AI integration in physiotherapy research, and require robust AI ethics statements in research proposals.

Ethics committees

  • Impact: AI introduces new ethical considerations around data use, privacy, consent, and potential biases.

  • Guidance: Develop specialized expertise in AI ethics relevant to physiotherapy research, create updated frameworks for evaluating AI research ethics, and establish monitoring processes for ongoing AI-driven studies.

Research participants and patient representatives

  • Impact: AI changes how participant data may be used, potentially in ways not initially anticipated.

  • Guidance: Advocate for transparent communication about AI use in research, ensure informed consent processes address potential AI applications of participant data, and participate in developing patient-centred AI research priorities.

Early career researchers

  • Impact: AI provides powerful research , but may affect skill development and research independence.

  • Guidance: Embrace AI as an enhancing tool while developing strong foundational research skills, seek specific training in AI methods and limitations, and maintain critical perspective on AI-generated outputs.

Professional bodies

  • Impact: AI integration requires new professional standards and competency frameworks for research practice.

  • Guidance: Develop position statements on AI in physiotherapy research, incorporate AI literacy into professional development programs, and advocate for responsible AI implementation that aligns with professional values.

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