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Feasibility Study of Self-Management App for High-Risk COVID Groups
1. Feasibility Study 87879 : Enabling Self
Management for COVID 19 high risk groups
Running – Dec 2020 – Feb 2021
2. Our new project
• Feasibility study to understand the self
management needs of the BAME
population
• We will look to understand the
challenges people of BAME origin face
• Define User needs product capabilities
• Understanding BAME communities and
demographics
3. Work packages – All completed
1 Project Start Up
2 Regulation and Patient Safety
3 Feasibility Analysis
4 Commercial and Sustainability
5 Project Write Up
4. Deliverables – All completed
1 Project Initiation Document (WP1)
2 RAID Log (WP1)
3 Clinical Safety Report Plan (WP2)
4 Patient Questionnaire (WP3)
5 Business Requirements Document(WP3)
6 High Level Design Document (WP3)
7 Commercial and Sustainability Report(WP4)
8 Final Summary of findings(WP5)
5. WP 1 - Project Start Up
D1 PID Created, D2 RAID Log Created
Refinement and clarity of project objectives and content of WP3 Feasibility Study
• User needs and Product capabilities.
• Understanding BAME communities and demographics
6. WP 2 - Regulation and Patient Safety
Key Findings to develop a AI model to support Self management for BAME
people
• MHRA : Based upon an evaluation of our solution and features we can
confirm that the software will not be classed as a medical device as its
primary purpose will be based around the ‘Decision Support’ category of
Health and Wellness
• Assessments of other regulation that needs to be followed :
• NHSx – Guidance on development of AI :
https://www.nhsx.nhs.uk/media/documents/NHSX_AI_report.pdf
• NHSx Digital Technology Assessment Criteria for Health and Social Care :
• https://www.nhsx.nhs.uk/key-tools-and-info/designing-and-building-
products-and-services/
• NHS Digital requirements around DCB0129 and DCB0160
• Information on clinical risk management standard DCB0129 DCB0160
7. WP 3 - Feasibility Study
Focus Areas 1 - User needs and Product capabilities.
ID Objective
1 What are the system capabilities that need to be built to
support user needs to enable self management ?
2 What functions need to be developed in application to
support these users ?
3 What AI features can be developed to support users
within these capabilities ?
4 What ethnicities and languages do we need to support ?
5 What is the viable commercial model ?
8. WP 3 - Feasibility Study
Focus Areas 2 - Understanding BAME communities and demographics
ID Objective
1 Who are the BAME / Segmentation / communities that
need support ?
2 Where are the BAME Communities located ?
3 How can these communities be engaged ?
All the information related to these objectives
will be captured in the following deliverables :
• Patient Questionnaire (WP3)
• Business Requirements Document(WP3)
• High Level Design Document (WP3)
• Final Report (WP5)
9. Research Activities
- Patient Questionnaires
- Freedom Of Information Local
Authority
- Freedom of Information from NHS and
CCG’s
10. 1. Feasibility Study – Engage BAME
• Development of User Surveys in multiple languages
https://surveyhero.com/c/5356af47
• Created Supporting videos in Multiple languages
https://vimeo.com/495574965
Deliverable : Patient Questionnaire (WP3)
11. 1. Social Media – Face Book
We Ran Multiple Social Media Campaigns as well as directly from Dr Paul’s
Practice : https://www.facebook.com/DigitalHealthFabric
12. 1. Social Media – Twitter – Engage
We Reaches out to Multiple communities
14. 1. BAME Insights and findings
‘BAME’ categorisation does not work
The use of ‘BAME’ suggests homogenous group, which it
is not, as one participant stated it is a lazy way of
categorising everyone ‘who is not white’.
Understand and engage segments as focus groups
•Understand Cultural Segments - To best understand the
needs of each ethnicity it needs to be broken down by
background culture and heritage. E.g. ‘Asian or Asian
British people’ needs further segmentation each group
such as Sikhs, Muslims, Hindus
•Understand age Groups as influencers - Within each
segment for the purposes of health literacy, the groups
need further segmentation into age groups. younger
groups can be used to engage older ones
•Mainstream Media are not the best media channels
15. 1. Insights needs directly from patient
Outcomes:
Over 800 completed surveys
150 new Newsletter
subscribers – People rely on
friends and family for self help
support
16. 1. Insights into BAME LTC’s (NHS)
Information about prevalence of long term conditions
with the BAME Community – Manchester CCG Below –
Disproportionate people of BAME with LTC’s
17. 1. Insights LA BAME Care services (LA)
Information about the number of people from the different BAME
communities that receive local authority support – Dashboards created
18. 1. Insights LA BAME Care services (LA)
Information about the number of people from the different BAME
communities that receive local authority support – Specific LA
19. Encouraging sustainability via Digital
interactions
Potential productivity gains to the West Midlands’ economy would be
£5.34m GVA annually if 10% of outpatient follow up appointments across
all specialties were shifted to virtual provision, and £3.81m GVA annually if
40% of outpatient follow up appointments across the identified specialties
were shifted to virtual provision.
In terms of parallel benefits to the NHS, the analysis
estimates that a 2.5 minute saving per appointment from
moving to virtual provision could free up an additional
5,200 hours of appointments from a 10% in all follow up
appointments or 3,728 hours from a 40% shift in the
identified specialties. The increased convenience and
reduced cost of attending appointments may also
positively impact DNA rates.
20. Encouraging sustainability via Digital
interactions
From the patient point of view, where we estimate a cost burden of £5.52
per appointment attended (excluding any lost income), this analysis
projects cost savings for West Midlands’ patients ranging from £325k to
£973k per annum. There would of course be some transfer of cost back to
NHS providers if overall parking income was reduced as a result of this
shift.
We have also estimated potential environmental benefits ranging from
177,845 to 533,535 kg CO2 annually through reduced travel. This would
also be expected to produce a positive health impact over time.
During Pandemic majority of interactions (70%) are virtual
21. Using AI to build a Universal indicator
A new
universal
indicator, easy
to understand
by people of
BAME origin
which enables
support of
friends and
family for self
management
of LTC’s.
22. WP 3 - Feasibility Study
Focus Areas 1 - User needs and Product capabilities.
ID Objective
1 What are the system capabilities that need to be built to
support user needs to enable self management ?
2 What functions need to be developed in application to
support these users ?
3 What AI features can be developed to support users
within these capabilities ?
4 What ethnicities and languages do we need to support ?
5 What is the viable commercial model ?
23. WP 3 - Feasibility Study
Focus Areas 2 - Understanding BAME communities and demographics
ID Objective
1 Who are the BAME / Segmentation / communities that
need support ?
2 Where are the BAME Communities located ?
3 How can these communities be engaged ?
All the information related to these objectives
will be captured in the following deliverables :
• Patient Questionnaire (WP3)
• Business Requirements Document(WP3)
• High Level Design Document (WP3)
• Final Report (WP5)
24. 1. Next Steps
Patient Engagement
• Create multicultural focus groups to understand cultural needs and wants
• Create groups of beta testers, grow subscriber base
Product Development
• Create Self Care AI Model for BAME communties
• Create prototypes and get feedback
Commercial Model
• Refine and test commercial models
• Create test bed for model 3
Regulation
• Create templates and start to complete for certifications
25. For further information email
info@healthfabric.co.uk
Questions
http://www.healthfabric.co.uk/