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AI Powered Remote Monitoring
of COPD patients
Paul McGinness
Director, Storm ID
stormid
Major Trends: Patient Generated Health Data
1 million / hour
New devices coming online by 2020
Smart Devices
20B IoT Devices
Smart Home
50 GB per day
People
1.5 GB per day
Major Trends: Artificial Intelligence (ML)
2016
Object recognition
Human parity
VISION
96%
RESNET vision test
152 layers
2017
Speech recognition
Human parity
SPEECH
5.1%
Switchboard speech
recognition test
2018
Machine reading comprehension
Human parity
LANGUAGE
88.5%
SQuAD reading
comprehension test
Lenus Health Platform
Patient Clinician
FHIR APIs
Storage Services
Identity & Consent
Device agnostic data capture
and patient reported outcomes
Wearables, sensors and
other devices
Clinical portal plus EHR
Primary care systems
AI
Clinical dashboards
Service Types
Lenus
Remote monitoring of LTCs
Combine PROs and physiology with machine learning models to stratify patient risk
Digital Outpatient Appointments
Asynchronous clinical exchanges completed digitally where patients submit information for HP to review and
respond
Optimise care pathways
Streamline the care pathway and optimise the face to face appointment using digital technologies to collect
patient information in advance
DYNAMIC Challenge
1.2m
People estimated to be affected in UK
240,000
20% at highest risk of exacerbation
£6,155
Estimated cost of emergency hospital
admission per exacerbation
The COPD Challenge in the
United Kingdom
2nd
2nd most common cause of
emergency hospital admission in UK
1 in 8
Emergency hospital admissions in UK
£2.5b
Predicted annual cost to NHS by 2030
Value Proposition
The approach is to create a continuous and
preventative digital health and care service for
COPD patients that will deliver a saving of one
emergency hospital re-admission per patient
on-boarded over 12 months
Annual estimated saving
across UK, with scaled model
£1.4BBased on 20% of patients with
highest risk of exacerbation
Estimated saving during
challenge, with 400 patients
£2.5MBased on 20% of patients at
highest risk of exacerbation
Aligned with recent recommendations
from British Thoracic Society:
Integrated working with care teams
Rapid community interventions
Supported self management
Decision support systems
Lenus COPD
• Virtual Care Service
• Supported self management
• Real time physiology & PROMs data to care team
• Messaging, care plan and rescue pack
• AI driven alerts to care team to drive early intervention
• Two way EHR integration using FHIRv4 (events / PDF – roadmap prescriptions)
• Launched 1st Sept
• ~60 Patients onboarded (Mix of NIV & Non NIV)
• Ave of 5 PROs completed per patient p/w
• 543 Clinical uses of messaging
• 15 uses of self management plan (red)
• Encouraging informal feedback from patients + clinicians
• Decision support machine learning models under development
• Exacerbation score
• 12mth mortality
• Treatment Failure Y/N
Key Features
Find out more about the project and
the COPD service in the leaflet and
online at lenushealth.com
COPD Service
S E R V I C E C O S T S
• Delivered on a cost per patient basis
o Minimum period of 12 months
o Exact costs depends on:
o Total number of patients
o Duration of service
o Required integrations with existing systems
o Cost per patient is less than cost of an emergency hospital admission
L I C E N C E C O S T S
• For the Lenus Digital Health and Care Platform
o Required to enable the COPD Service
G - C L O U D A P P R O V E D
• Can be procured via the UK Government Digital Marketplace
o Available via G-Cloud 11 or direct from Storm ID
What’s involved

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Paul McGinness - ECO 21

  • 1. AI Powered Remote Monitoring of COPD patients Paul McGinness Director, Storm ID stormid
  • 2. Major Trends: Patient Generated Health Data 1 million / hour New devices coming online by 2020 Smart Devices 20B IoT Devices Smart Home 50 GB per day People 1.5 GB per day
  • 3. Major Trends: Artificial Intelligence (ML) 2016 Object recognition Human parity VISION 96% RESNET vision test 152 layers 2017 Speech recognition Human parity SPEECH 5.1% Switchboard speech recognition test 2018 Machine reading comprehension Human parity LANGUAGE 88.5% SQuAD reading comprehension test
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  • 7. Lenus Health Platform Patient Clinician FHIR APIs Storage Services Identity & Consent Device agnostic data capture and patient reported outcomes Wearables, sensors and other devices Clinical portal plus EHR Primary care systems AI Clinical dashboards
  • 8. Service Types Lenus Remote monitoring of LTCs Combine PROs and physiology with machine learning models to stratify patient risk Digital Outpatient Appointments Asynchronous clinical exchanges completed digitally where patients submit information for HP to review and respond Optimise care pathways Streamline the care pathway and optimise the face to face appointment using digital technologies to collect patient information in advance
  • 9. DYNAMIC Challenge 1.2m People estimated to be affected in UK 240,000 20% at highest risk of exacerbation £6,155 Estimated cost of emergency hospital admission per exacerbation The COPD Challenge in the United Kingdom 2nd 2nd most common cause of emergency hospital admission in UK 1 in 8 Emergency hospital admissions in UK £2.5b Predicted annual cost to NHS by 2030
  • 10. Value Proposition The approach is to create a continuous and preventative digital health and care service for COPD patients that will deliver a saving of one emergency hospital re-admission per patient on-boarded over 12 months Annual estimated saving across UK, with scaled model £1.4BBased on 20% of patients with highest risk of exacerbation Estimated saving during challenge, with 400 patients £2.5MBased on 20% of patients at highest risk of exacerbation
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  • 13. Aligned with recent recommendations from British Thoracic Society: Integrated working with care teams Rapid community interventions Supported self management Decision support systems Lenus COPD • Virtual Care Service • Supported self management • Real time physiology & PROMs data to care team • Messaging, care plan and rescue pack • AI driven alerts to care team to drive early intervention • Two way EHR integration using FHIRv4 (events / PDF – roadmap prescriptions) • Launched 1st Sept • ~60 Patients onboarded (Mix of NIV & Non NIV) • Ave of 5 PROs completed per patient p/w • 543 Clinical uses of messaging • 15 uses of self management plan (red) • Encouraging informal feedback from patients + clinicians • Decision support machine learning models under development • Exacerbation score • 12mth mortality • Treatment Failure Y/N Key Features
  • 14.
  • 15. Find out more about the project and the COPD service in the leaflet and online at lenushealth.com COPD Service S E R V I C E C O S T S • Delivered on a cost per patient basis o Minimum period of 12 months o Exact costs depends on: o Total number of patients o Duration of service o Required integrations with existing systems o Cost per patient is less than cost of an emergency hospital admission L I C E N C E C O S T S • For the Lenus Digital Health and Care Platform o Required to enable the COPD Service G - C L O U D A P P R O V E D • Can be procured via the UK Government Digital Marketplace o Available via G-Cloud 11 or direct from Storm ID What’s involved

Editor's Notes

  1. Good afternoon, My name is Paul McGinness. I’m Co-founder and Director of Storm ID. Today, I’m going to talk about our AI Powered COPD Remote Monitoring Service. And the innovative work we’ve been undertaking in collaboration with NHS Greater Glasgow and Clyde.
  2. This short minute video takes a deeper dive in to how the service works. Let me walk you through what happens https://vimeo.com/363807313