Assessing medical disability for compensation. The future is based on the changes in Technology, Economy and Socio-Political changes. At the end of this lecture you should be able to:-
Describe the dynamic nature of disability and its impact on an individual
List the factors influencing the assessment of disability
Describe the technological, political and socio-economic influence on medical disability assessment
3. MEDICAL CLAIMS PROCESS
Identify Liable
party
Evidence
gathering
Disability
assessment
Disability
Intervention
and support
Monitor and
evaluate
intervention
Quantify
compensation
Settlement /
Litigation
Payment
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