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Digihealth Conference
Building public trust for data use
in new technologies
Dave Taylor
Trustee
2nd March 2017
Introduction
The	Patients	Association
Listening	to	Patients	and	Speaking	up	for	Change
• An independent National Charity for over 50 years
• Helpline assists with over 7000 enquiries a year through
telephone, web and email
• Support patients and their families through unique casework
• Investigate health and care concerns that patients raise with us
• Monitor trends in patient satisfaction and NHS targets
• Publish Patient Stories
• Promote good practice amongst healthcare professionals
• Developed complaints handling Standards and a Charter
• Identified deficiencies in Care Homes – Our charter forms part
of the CQC inspection process for care homes
• Launched and lead two UK parliamentary committees (PPI
and Patient Safety)
• Undertake our own research.
The	Issues
• Low levels of public awareness about the way data is and
can be used
• Concerns about confidentiality and cyber security
• Health data comes in many forms:
• Formal, collected by healthcare providers, such as GPs,
Hospitals, Social Care services, Private providers
• Informal, e.g. Fitness bands, Health trackers of various kinds
(wearables)
• Data sharing arrangements are complex and patchy
• It’s a complex issue: Data needs to be shared in
delivering care (Direct Care) and in managing healthcare
delivery, for preventative medicine and in medical
research (Indirect Care)
Our	Position
• The PA supports data sharing under sensible rigorous controls
• The consent model should default to opt-in (so as to ensure
data sets used in Indirect Care are as complete as possible)
• Benefits of inclusion need to be clearly explained/with simple opt-
out
• Needs clear description of the data to be shared, with whom and
why
• Accessibility: some patient groups require specific support and
consideration. E.g. those with learning disability or mental
health needs
• Assurance of security: In view of increasing cyber-security
threats, best practice guarantees may need to be strengthened,
so as to be kept up to date and deal with new risks as they are
identified
• The European General Data Protection Regulations 2018 ….
give citizens control over use of their personal data
Patient’s	Views
• Formal Data1
• Most patients support (and expect) data sharing for their Direct
Care
• And for Indirect Care as this will lead to better care in the
future
• But Not for other purposes including the use of data by private
companies for marketing purposes
• Informal Data
• 74% of 1000 UK adults surveyed would be happy to share data
from a wearable with their GP2
• 63% of 2000 US millennials would be interested in providing
their health data from wearables to their doctors3
1	PA	Survey	with	APPG	for	PPI	in	Health	and	Social	Care	(in	
response	to	concerns	raised	by	Care.data programme)
2KPMG,	Sept	2015
3Harris	Poll	for	Salesforce,	2015	(surveyed	2,095	Adults)
Internet	of	Things	– Increasing	data	volume
Public	confidence	– what	can	go	wrong?
• Feb 2014: Care.data delayed by 6 months
• Guardian Feb 2014: Health and Social Care Information Centre
admitted giving the insurance industry the pseudonymised hospital
records of millions of patients
• Guardian Mar 2014: Tory MP says “The entire NHS hospital patient
database for England was handed over to management consultants
who uploaded it to Google servers based outside the UK”
• June 2014: Care.data Inquiry explored:
• The lack of publicity, clarity and patient involvement in the Care.data
programme.
• The issues surrounding opting in/opting out of the scheme.
• The impact on patient care as a result of sharing information for research
purposes.
• Who should medical information be shared with and why
• Jan 2017: NHS hands over patient records to Home Office for
immigration crackdown
APPG	for	Patient	and	Public	Involvement	in	Health	and	Social	Care	“Care.data Inquiry”	
Patients	Association	Website
App	Development	– what	can	go	wrong?
• Study of all apps certified to be clinically safe and trustworthy
by the UK NHS Health Apps Library (as of July 2013)
• 89 % (of 79) apps transmitted information to online services
• Only 67% had a privacy policy (a legal requirement)
• 62% transmitted user-related information over the internet
• 78 % of these with a policy did not describe the nature of personal
information included in transmissions
• 44% (of 69) apps sent identifying information over the internet
• 66% of these did not use encryption
• 20% of these did not have a privacy policy
• 4 apps sent both identifying and health information without
encryption
Source:	Unaddressed	privacy	risks	in	accredited	health	and	wellness	apps:	a	cross-
sectional	systematic	assessment
Huckvale et	al,		BMC	Medicine	2015,	13:214
Imperial	College	Healthcare	NHS	Trust
- NHS	Global	Digital	Exemplar
Vision:	The	Patient	Digital	Experience
Before	any	appointment	I	
can	feed	in	my	symptoms	
and	we	decide	if	I	need	to	
attend	in	person	or	online
I	use	my	device(s)	to	
interact	with	
healthcare	providers
My	healthcare	is	joined	
up	– I	don’t	have	to	
repeat	myself!		They	
know	my	health	history
I	book	my	appointments	
at	my	convenience	using	
my	smartphone/tablet
If	I	have	a	question	
I	can	send	it	and	
get	a	reply
I	am	an	active	
participant	in	
my	healthcare
I	am	actively	
engaged	in	my	
wellbeing
I	am	in	
Control!!
For	Patients
• Manage your healthcare
from the comfort of your
own home
• Reduce time spent attending
routine medical
appointments
• Give all the professionals
involved in your care a
better, more rounded view of
your medical history
For	Clinicians
• Helps patients become more
involved in managing their
own health
• Reduces time devoted to
routine appointments
• Real time access to
pathology and radiology
results and appointments and
attendances, for example,
at other acute Trusts
For	Patients	in	NW	London	…….
Population	Health
Integrated	Care
Patient	Engagement
Data	Sharing
Digital	Records
Security	and	Information	Governance
Alan	Winfield	– Professor	of	
Robot	Ethics,	UWE
AI	agents	should	be	able	to	
explain	how	they	reached	a	
decision
DeepMind	Health’s	
website provides	a	
good	example	of	
transparency	and	
clarity
Summary
• Low levels of public awareness about the way data is and
can be used
• Public concerns about confidentiality and cyber security
• Data sharing arrangements are complex and patchy
• But the future is bright …….
• Patients and the PA support and expect data sharing under
sensible rigorous controls
• The consent model should default to opt-in
• Accessibility and Security Assurances needed
• Above all clarity and transparency – who is data shared
with, what data is shared, why? – and in future what AI
decisions were made, when and why?

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Dave Taylor

  • 1. Digihealth Conference Building public trust for data use in new technologies Dave Taylor Trustee 2nd March 2017
  • 3. The Patients Association Listening to Patients and Speaking up for Change • An independent National Charity for over 50 years • Helpline assists with over 7000 enquiries a year through telephone, web and email • Support patients and their families through unique casework • Investigate health and care concerns that patients raise with us • Monitor trends in patient satisfaction and NHS targets • Publish Patient Stories • Promote good practice amongst healthcare professionals • Developed complaints handling Standards and a Charter • Identified deficiencies in Care Homes – Our charter forms part of the CQC inspection process for care homes • Launched and lead two UK parliamentary committees (PPI and Patient Safety) • Undertake our own research.
  • 4. The Issues • Low levels of public awareness about the way data is and can be used • Concerns about confidentiality and cyber security • Health data comes in many forms: • Formal, collected by healthcare providers, such as GPs, Hospitals, Social Care services, Private providers • Informal, e.g. Fitness bands, Health trackers of various kinds (wearables) • Data sharing arrangements are complex and patchy • It’s a complex issue: Data needs to be shared in delivering care (Direct Care) and in managing healthcare delivery, for preventative medicine and in medical research (Indirect Care)
  • 5. Our Position • The PA supports data sharing under sensible rigorous controls • The consent model should default to opt-in (so as to ensure data sets used in Indirect Care are as complete as possible) • Benefits of inclusion need to be clearly explained/with simple opt- out • Needs clear description of the data to be shared, with whom and why • Accessibility: some patient groups require specific support and consideration. E.g. those with learning disability or mental health needs • Assurance of security: In view of increasing cyber-security threats, best practice guarantees may need to be strengthened, so as to be kept up to date and deal with new risks as they are identified • The European General Data Protection Regulations 2018 …. give citizens control over use of their personal data
  • 6. Patient’s Views • Formal Data1 • Most patients support (and expect) data sharing for their Direct Care • And for Indirect Care as this will lead to better care in the future • But Not for other purposes including the use of data by private companies for marketing purposes • Informal Data • 74% of 1000 UK adults surveyed would be happy to share data from a wearable with their GP2 • 63% of 2000 US millennials would be interested in providing their health data from wearables to their doctors3 1 PA Survey with APPG for PPI in Health and Social Care (in response to concerns raised by Care.data programme) 2KPMG, Sept 2015 3Harris Poll for Salesforce, 2015 (surveyed 2,095 Adults)
  • 8. Public confidence – what can go wrong? • Feb 2014: Care.data delayed by 6 months • Guardian Feb 2014: Health and Social Care Information Centre admitted giving the insurance industry the pseudonymised hospital records of millions of patients • Guardian Mar 2014: Tory MP says “The entire NHS hospital patient database for England was handed over to management consultants who uploaded it to Google servers based outside the UK” • June 2014: Care.data Inquiry explored: • The lack of publicity, clarity and patient involvement in the Care.data programme. • The issues surrounding opting in/opting out of the scheme. • The impact on patient care as a result of sharing information for research purposes. • Who should medical information be shared with and why • Jan 2017: NHS hands over patient records to Home Office for immigration crackdown APPG for Patient and Public Involvement in Health and Social Care “Care.data Inquiry” Patients Association Website
  • 9. App Development – what can go wrong? • Study of all apps certified to be clinically safe and trustworthy by the UK NHS Health Apps Library (as of July 2013) • 89 % (of 79) apps transmitted information to online services • Only 67% had a privacy policy (a legal requirement) • 62% transmitted user-related information over the internet • 78 % of these with a policy did not describe the nature of personal information included in transmissions • 44% (of 69) apps sent identifying information over the internet • 66% of these did not use encryption • 20% of these did not have a privacy policy • 4 apps sent both identifying and health information without encryption Source: Unaddressed privacy risks in accredited health and wellness apps: a cross- sectional systematic assessment Huckvale et al, BMC Medicine 2015, 13:214
  • 12. For Patients • Manage your healthcare from the comfort of your own home • Reduce time spent attending routine medical appointments • Give all the professionals involved in your care a better, more rounded view of your medical history For Clinicians • Helps patients become more involved in managing their own health • Reduces time devoted to routine appointments • Real time access to pathology and radiology results and appointments and attendances, for example, at other acute Trusts For Patients in NW London ……. Population Health Integrated Care Patient Engagement Data Sharing Digital Records
  • 14. Summary • Low levels of public awareness about the way data is and can be used • Public concerns about confidentiality and cyber security • Data sharing arrangements are complex and patchy • But the future is bright ……. • Patients and the PA support and expect data sharing under sensible rigorous controls • The consent model should default to opt-in • Accessibility and Security Assurances needed • Above all clarity and transparency – who is data shared with, what data is shared, why? – and in future what AI decisions were made, when and why?