Invest in AgeTech Response to Recommendation
TOTAL SCORE: 11
Score
A1 (Feasibility increased by continuance of pandemic): +1
A2 (Necessity increased by covid pandemic): +1
A3 (political viability): +1
B1 (Relevance to the specific goal of increasing HALE by 5 years by 2035): +1
B2 (Relevance to general goal of biomedical healthy life extension): 0
C1 (Market readiness applicability): +1
C2 (Project readiness): +1
C3 (Move to market readiness): +1
D1 (Actionability): 0
D2 (Degree of measurability): 0
D3 (Degree of leveraging cross-sector inputs): +1
D4 (Awareness of international context): +1
D5 (Resourcefulness): 0
D6 (Reorganisation): 0
E (Disruptiveness): +1
F (Dividends - does the recommendation aid in social activity and inclusivity?): +1
This scores a strong score on “leveraging of cross-sector inputs” (D3). Aging Analytics Agency views AI and digital technologies as crucial from drug discovery for digital technologies for the elderly (AgeTech).
Also shows good awareness of international context (D4) and readiness (C), as countries such as Japan already have advanced in market-ready digital products for the eldery, including for example elderly care robots.
RECOMMENDATION SUMMARY
“More widespread use of telecare services — particularly modern digital systems with monitoring capabilities — may enable more people to live independently in their homes for longer in old age. The upcoming digital telephone switchover provides impetus for this change and is an opportunity for local authorities to introduce more comprehensive services to facilitate safe and independent living. (Paragraph 298)
Data-driven services and emerging robotics and AI systems could provide significant support to older people, to enable them to live independently for longer. The results of ongoing projects in the UK and abroad will help to determine what role robotics can play. (Paragraph 304)
We recommend that the Government makes targeted and strategic investments in research for the design, evaluation and uptake of data-driven services, assistive robot technologies and AI for older people, in order to develop national expertise and critical mass in this important area. (Paragraph 305)”
Score
A1 (Feasibility increased by continuance of pandemic): +1
A2 (Necessity increased by covid pandemic): +1
A3 (political viability): +1
B1 (Relevance to the specific goal of increasing HALE by 5 years by 2035): +1
B2 (Relevance to general goal of biomedical healthy life extension): 0
C1 (Market readiness applicability): +1
C2 (Project readiness): +1
C3 (Move to market readiness): +1
D1 (Actionability): 0
D2 (Degree of measurability): 0
D3 (Degree of leveraging cross-sector inputs): +1
D4 (Awareness of international context): +1
D5 (Resourcefulness): 0
D6 (Reorganisation): 0
E (Disruptiveness): +1
F (Dividends - does the recommendation aid in social activity and inclusivity?): +1
This scores a strong score on “leveraging of cross-sector inputs” (D3). Aging Analytics Agency views AI and digital technologies as crucial from drug discovery for digital technologies for the elderly (AgeTech).
Also shows good awareness of international context (D4) and readiness (C), as countries such as Japan already have advanced in market-ready digital products for the eldery, including for example elderly care robots.
RECOMMENDATION SUMMARY
“More widespread use of telecare services — particularly modern digital systems with monitoring capabilities — may enable more people to live independently in their homes for longer in old age. The upcoming digital telephone switchover provides impetus for this change and is an opportunity for local authorities to introduce more comprehensive services to facilitate safe and independent living. (Paragraph 298)
Data-driven services and emerging robotics and AI systems could provide significant support to older people, to enable them to live independently for longer. The results of ongoing projects in the UK and abroad will help to determine what role robotics can play. (Paragraph 304)
We recommend that the Government makes targeted and strategic investments in research for the design, evaluation and uptake of data-driven services, assistive robot technologies and AI for older people, in order to develop national expertise and critical mass in this important area. (Paragraph 305)”