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The Future of Assessments
for Medical Disability
Vaikunthan Rajaratnam
Senior Consultant Hand Surgeon
Singapore
THE IMPACT
DISABILITY
RESIDUAL
HEALTH
TREATMENT
INJURY
ILLNESS
IMPACT
ON LIVE
BIOPHYSICAL
PSYCOLOGICAL
SOCIAL
ECONOMIC
MEDICAL CLAIMS PROCESS
Identify Liable
party
Evidence
gathering
Disability
assessment
Disability
Intervention
and support
Monitor and
evaluate
intervention
Quantify
compensation
Settlement /
Litigation
Payment
INFLUENCERS
ON
DISABILITY
(Static vs Dynamic)
TECHNOLOGY
Health &Social
Services
Medical
Industry
ENVIRONMENT
Home
Work
Public places
Social
ECONOMY
Independence
Monetary
Benefits
Skills
Development
POLITICAL
Legislation
Policies
Summary
• 50% of patients had returned to
a functional baseline within two
weeks of injury
• 24% within three months.
• < 25% made active lifestyle
changes
• 38% - financial injury claims
• 11% involved in litigation
• Early management of
symptoms may promote
maximum recovery.
INFLUENCERS
ON
DISABILITY
(Static vs Dynamic)
Mobile Health & Artificial Intelligence conceptual
guide (adapted from Khan and Alotaibi, 2020)
.
Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing. Human Machine Collaboration and
Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
Proposed model for A.I. and big data for mobile health systems (Khan and Alotaibi, 2020) .
Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing. Human Machine Collaboration and
Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
Virtual and Augmented Reality (V.R. And AR) Virtual and Augmented Reality (V.R. And AR)
.
Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing.
Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
Mobile health in the community
.
Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing.
Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
Application of Internet of Medical Things in
Health care (adapted from (Kumar et al.,
2021)
.
Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing.
Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
Main components of digital health
.
Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing.
Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
A workflow of blockchain-based
healthcare applications. (Khezr et al., 2019)
.
Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing.
Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
• Administrative process
Automate
• Assessment and evaluation
Proactive
• Processes and activities
Transparency
• Stakeholder
Education
• Assessment and Evaluation
Qualitative and Quantitative
• Standardised and reproducible assessments
Independent
• Enable tracking of disability
Technology
Disability and Rehabilitation, 43:15, 2110-2122, DOI: 10.1080/09638288.2019.1692377
The Health and Disability Green Paper
• Providing the Right Support
• Improving Employment Support
• Improving our Current Services
• Re-thinking Future Assessments to Support Better Outcomes
• Exploring Ways to Improve the Design of the Benefits system
The Health and Disability Green Paper
Stakeholder Engagement
• empower and support disabled people and be an ally
• help people to live more independently, including support to start, stay and
succeed in work and ways we can improve the experience people have of
the benefits system
• services easier to access, make our processes simpler and help build
people’s trust
• stopped reassessments for permanent severe conditions
• reduce the number of unnecessary assessments
• greater flexibility and simplicity in the way that assessments are delivered
• Improving evidence-based decision making
• Access to advocacy and appeal process
• Capacity to perform at work
• Assessed disability vs complaints and participation
• Incorporate skills assessment
• Access to training & advanced skills, jobs and income
• Gender equality
• Access to support services –
• vocational guidance,
• placement services,
• assistive devices and
• adapted equipment.
Ratzon, N. Z., Amit, Y., Friedman, S., Zamir, S., & Rand, D. (2015). Functional capacity evaluation: Does it change the
determination of the degree of work disability? Disability and Health Journal, 8(1), 80–85.
http://doi.org/10.1016/j.dhjo.2014.08.004
Khasnabis C, Heinicke Motsch K, Achu K, et al., editors. Community-Based Rehabilitation: CBR Guidelines. Geneva: World
Health Organization; 2010. Skills development. Available from: https://www.ncbi.nlm.nih.gov/books/NBK310919/
Summary
• various methods of computing
multiplier and analysing the
outcome
• produces different output without
any qualification on method
selection
• Flaw in the computation of the
multiplier for future losses other
than loss of earnings due to
heterogenicity in outcomes
• Lump sum payment structured
settlement payment
http://www.mom.gov.sg/Documents/safety-health/GATIOD-Fifth-Edition
PERCEPTIONS & EXPECTATIONS
THANK YOU
Vaikunthan@gmail.com

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The future of Disability Assessment

  • 1. The Future of Assessments for Medical Disability Vaikunthan Rajaratnam Senior Consultant Hand Surgeon Singapore
  • 3. MEDICAL CLAIMS PROCESS Identify Liable party Evidence gathering Disability assessment Disability Intervention and support Monitor and evaluate intervention Quantify compensation Settlement / Litigation Payment
  • 4. INFLUENCERS ON DISABILITY (Static vs Dynamic) TECHNOLOGY Health &Social Services Medical Industry ENVIRONMENT Home Work Public places Social ECONOMY Independence Monetary Benefits Skills Development POLITICAL Legislation Policies
  • 5. Summary • 50% of patients had returned to a functional baseline within two weeks of injury • 24% within three months. • < 25% made active lifestyle changes • 38% - financial injury claims • 11% involved in litigation • Early management of symptoms may promote maximum recovery. INFLUENCERS ON DISABILITY (Static vs Dynamic)
  • 6. Mobile Health & Artificial Intelligence conceptual guide (adapted from Khan and Alotaibi, 2020) . Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing. Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
  • 7. Proposed model for A.I. and big data for mobile health systems (Khan and Alotaibi, 2020) . Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing. Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
  • 8. Virtual and Augmented Reality (V.R. And AR) Virtual and Augmented Reality (V.R. And AR) . Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing. Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
  • 9. Mobile health in the community . Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing. Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
  • 10. Application of Internet of Medical Things in Health care (adapted from (Kumar et al., 2021) . Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing. Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
  • 11. Main components of digital health . Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing. Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
  • 12. A workflow of blockchain-based healthcare applications. (Khezr et al., 2019) . Rahman NA, Rajaratnam V. Human-Machine Interface for Healthcare Technology Manufacturing. Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain. 2022 Aug 2;339–74.
  • 13. • Administrative process Automate • Assessment and evaluation Proactive • Processes and activities Transparency • Stakeholder Education • Assessment and Evaluation Qualitative and Quantitative • Standardised and reproducible assessments Independent • Enable tracking of disability Technology Disability and Rehabilitation, 43:15, 2110-2122, DOI: 10.1080/09638288.2019.1692377
  • 14. The Health and Disability Green Paper • Providing the Right Support • Improving Employment Support • Improving our Current Services • Re-thinking Future Assessments to Support Better Outcomes • Exploring Ways to Improve the Design of the Benefits system
  • 15. The Health and Disability Green Paper Stakeholder Engagement • empower and support disabled people and be an ally • help people to live more independently, including support to start, stay and succeed in work and ways we can improve the experience people have of the benefits system • services easier to access, make our processes simpler and help build people’s trust • stopped reassessments for permanent severe conditions • reduce the number of unnecessary assessments • greater flexibility and simplicity in the way that assessments are delivered • Improving evidence-based decision making • Access to advocacy and appeal process
  • 16. • Capacity to perform at work • Assessed disability vs complaints and participation • Incorporate skills assessment • Access to training & advanced skills, jobs and income • Gender equality • Access to support services – • vocational guidance, • placement services, • assistive devices and • adapted equipment. Ratzon, N. Z., Amit, Y., Friedman, S., Zamir, S., & Rand, D. (2015). Functional capacity evaluation: Does it change the determination of the degree of work disability? Disability and Health Journal, 8(1), 80–85. http://doi.org/10.1016/j.dhjo.2014.08.004 Khasnabis C, Heinicke Motsch K, Achu K, et al., editors. Community-Based Rehabilitation: CBR Guidelines. Geneva: World Health Organization; 2010. Skills development. Available from: https://www.ncbi.nlm.nih.gov/books/NBK310919/
  • 17.
  • 18.
  • 19. Summary • various methods of computing multiplier and analysing the outcome • produces different output without any qualification on method selection • Flaw in the computation of the multiplier for future losses other than loss of earnings due to heterogenicity in outcomes • Lump sum payment structured settlement payment
  • 21. PERCEPTIONS & EXPECTATIONS THANK YOU Vaikunthan@gmail.com