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Precision Childs Health - Coggle Diagram

- - - - How can we transcend geographical barriers to ensure each child gets the care they need?
        
        Virtual visits, follow-ups
        
        Virtual communication with healthcare providers to track progress
        
        Screening tools to direct patients to the proper facilities - this will help reduce the overload on ER departments
        
        Digital ecosystem so everyone can access SickKids anywhere, at any time.
    - - Interconnected buildings to foster collaboration
      - Makes referrals easier
      - Closes gaps in the health system
      - Improves efficiency of care
    - - Can using AI or digital technology exacerbate health inequalities?
        
        What if patients do not have vehicles to get to the hospital? How can we help transport them?
        
        What if patients have insufficient wifi for virtual care?
        
        How do we support individuals without insurance?
        
        How can we responsibly allocate our resources to ensure every child has access to healthcare?
  - - - Physical
      - Mental
      - Behavioural
      - Organ-specific (cardiology, nephrology, dermatology, etc.)
      - Social
      - Spiritual
- - - - Legal implications
      - Financial implications
      - Social implications
    - - Staff collaboration
      - Staff compatibility
      - Additional staff training
      - The need for a digitized communication system?
  - - - Compassion and empathy
      - Communication
      - Integrity
- - - - Requires high cost, labour-intensive, long wait times
      - Will patients be willing to have their genetic data stored and shared to inform research or potentially future patients?
    - - Ex. If a child has a genetic predisposition for a fatal disease, will they be treated differently if we knew they were bound to die?
      - How would genetic data impact the lives of patients: could this cause discrimination in employment, education, or even society?
      - How can we work to ensure equitable distribution of health resources independent of genetic data?
    - - Making assumptions based on genetic data will need to be validated to identify if it is accurate. This may take years.
  - - - How will the AI be tested?
      - What are our validation targets?
      - What are mechanisms in place to catch inaccuracies or mistakes?
      - Data privacy and security concerns
    - - Racism
      - Colonialism
      - A lack of EDI in historic medical training may inaccurately diagnose and treat marginalized groups
      - Representation bias