Green AI for Green Health: Are current regulatory approaches and policies timely?
Key insights:
• Data recycling is necessary for 3S policies (sustaining, spreading, scaling innovation)
• To make the transition from AI design to impact
• To unlock value in AI and innovation
• To implement green health policies
Data Recycling Objectives:
• Intervene in High Carbon Emission Areas to produce and recycle green data and fuel Good AI
• Introduce Digital Asset Passports to meet recycling standards
• Mandate reporting on current practice emissions e.g. readmissions per disease per value pathway
• Reduce carbon emissions in current practices adopting green health policies and enabling recycled data
• Reduce amount of data generated with computers and medical equipment
• Introduce circular economy models in innovation
• Establish new digitally enabled green care models e.g. quaternary prevention
• Reduce data farming and their significant direct and indirect carbon impact
Greener health approach-
Green Digital Health Meta-Policy weaves together directionality components:
1. Governance: Social-Data-Clinical-Economic
2. Data Tech: Ecosystem Decentralisation-Semantic Federation
3. Telehealth: Access-Scale-Engage-Participate
4. Agile migration
Action Plan for Green Health-
Aims:
• Data recycling
• Adopt green health approach
• Restore healthcare environment
• Restore innovation ecosystem
• Adopt 3S policies for value
• Design for equity inclusion impact
Actions:
• Integrated telehealth
• Digital Acceleration platforms
• 3S action
• Impact investing
7. Restore SIR
• A Green-AI-for-Green-
Health-and-Sustainable-
Innovation-Policy is long
overdue
• Seek to restore the balance in
the innovation ecosystem with
data recycling, and to enable
health impact scaling and
digital acceleration spillovers
• Recycled data must
adhere to strict reuse
standards (ex-
interoperability) and will
therefore be reliable and
accurate, further reducing
carbon emissions: with
higher AI value,
efficiencies and better
productivity
14. Objectives
Intervene in High Carbon Emission Areas to produce and recycle
green data and fuel Good AI
Introduce Digital Asset Passports to meet recycling standards
Mandate reporting on current practice emissions
e.g. readmissions per disease per value pathway
Reduce carbon emissions in current practices adopting green
health policies and enabling recycled data
Reduce amount of data generated with computers and medical
equipment
Introduce circular economy models in innovation
Establish new digitally enabled green care models
e.g. quaternary prevention
Reduce data farming
18. INNOVATION 6 ‐ Realize Green, Digital,
Just Transition: Prioritize innovations that
catalyse the transition to a green, digital
and just economy for sustainable
development
IMPACT INITIATIVE 2.6 – Initiate the
design and development of standards and
pilot testing for digital product passports
that track a product’s climate,
environmental, and social impacts
throughout the value chain
IMPACT INITIATIVE 3.3 – Decentralised
Financing
Coalition for Digital
Environmental
Sustainability (CODES)
UN CODES
Action Plan for
a Sustainable
Digital Planet ‐
2022
No mention of a
digital acceleration
ecosystem
20. Data Principles
for Recycling
Value
Trust
Social
Contract
Equity
The full value of data
materializes when
systems enable the
use and reuse of data
for different purposes
All share equitably
in the benefits of
data when
investments and
regulations create a
level playing field
A trust
environment is
created when the
rights and
interests that all
stakeholders have
in data are
safeguarded
Social Contract for Data - World Bank Flagship Report Data for Better Lives