NHS Quest

1. How to bring accessible
technologies to clinic ?
Bala Sirigireddy
FIBMS
Clinical entrepreneur fellow- NHSE
CENT fellow – Royal Society of Medicine

2. Sometimes it is all about being in
the right place at right time
Are we in the right place ? is it the right time for digital disruption in health care ?

3. I believe so….
These are the factors contributing to the belief
 Affordable cloud technologies – Azure and
Amazon
 Easily customisable off the shelf Artificial
intelligence and Machine Learning
 Interoperability with EPR ( FIHR standards,
HL7 v.4)
 Proliferation of wearables and health apps
 Global hype – Increase in Venture Capitalists
investing in health tech start-ups
 Last but not least a tech friendly health
secretary Matt Hancock

4. We publish research work frequently and
thought of applying theses technologies
to innovate

5. ?
Problem
Lack of real time
data capture
mechanism to
innovatively
manage chronic
conditions

Market
Aging population
and increase in
patients with
chronic conditions
poses significant
challenges to
health economics
Solution
Wearable
technology
combined with
Machine learning
and AI to enable
better decisions

Mission
Organise data
from sensors for
the discovery of
digital biomarkers


6. ?
Problem
Lack of real
time data
capture
platform in
sickle cell

Market15000 pts in UK,
Cost to NHS =
240 MN /year,
150K patients in US and
4 million worldwide
Solution
Wearable
technology which
can capture vital
signs like Pulse
oxygen, HRV,
temperature, sleep

Mission
Organise data from
sensors for the
discovery of digital
biomarkers which
can help to predict
deterioration and
provide behavioural
nudges

 However, we did not have a full tech spec before going into program
 We took the idea to NHSE and got into Clinical entrepreneur program

7. Things learned at Clinical entrepreneur program
 Writing a Business plan - revenue models
 Building a team
 Funding sources - NIHR, Innovate UK, SBRI.
 Pitching your ideas to investors -Seed, Angel and
VC’s
 Digital Marketing and branding
Minimum Viable Product (MVP) developed through
knowledge gained from networking
(Hard to get funding with out MVP & Pilot site)

8. Patients
Data
collected
from
wearable
sensors
App EC2 and S3
Kibana
Dash
boards
Machine
learning and
AI used to
filter noise
and signal
(Amazon Sage
maker )
Clinic
Cerner
EPR.
Python
Web portal
and Mobile
AWS
Technology Stack

9. Understanding quality
Data for business intelligence
Understanding efficiency
Improving safety
Real-time comparisons
Better planning
Compliance with national plans for digital transformation
Slide Source: Dr Simon Eccles

10. Going forward
 Complete the pilot in stages, R&D
and ethics approval application in
progress.
 Discover digital biomarkers for
Sickle cell patients
 Apply for patents where applicable
 Get investors on-board
 Scale nationally and globally
Thank you