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The impact of technology:
innovation to help patients
Patient experience as innovation driver
in healthcare technologies
Felip MIRALLES
Manager Unit eHealth
21/09/2016

“ innovation for the industry” 2
Eurecat technology centre
PRINTED
ELECTRONICS
1 step
Eurecat is the result of a merge, last year 2015, from
Ascamm, Barcelona Media, BDigital, Cetemmsa, CTM y CTNS.
Cerdanyola del VallèsBarcelona Manresa Mataró Reus

3The eHealth Unit
• Clinical Decision Support systems
for early diagnosis, patient
stratification, prognosis and therapy
management
• Simulation of predictive models
linked to clinical data, omics data,
lifestyle and environmental data
• Data analytics and anomaly
recognition
• mHealth for self-management,
patient empowerment
• Tele assistance, tele health, tele
monitoring
• Adaptive case management.
• Assistive technologies for people with
special needs (the elderly, the
disabled,...)
eurecat – eHealth unit
Personalised medicine Integrated care
1 2
• Gait and Motion analysis
• Musculoskeletal Modeling and
Inverse Dynamics
• Medical and Occupational Health
protocols design
• Integration of Hardware into a
personalized software
Biomechanics
3

4
The impact of technology in patient experience
• The application of technology, even costly technology, does not necessarily improves
patient outcomes, engagement, and experience.
• Technology is only a facilitator, a means
• How to get people involved in their own health?
• Technology alone is not the answer.
• Most current Patient Portals have not been designed to focus on patient engagement, they
are rather focused on information sharing than on facilitating information exchange.
Luxford, Karen and Sutton, Sue (2014) "How does patient experience fit into the overall healthcare picture?," Patient Experience Journal: Vol. 1: Iss. 1, Article 4.

5
Engaging patients with a 360º approach
360º approach: to reach and engage patients along their care journey through many-
ways communication and collaboration tools.
1. Longitudinal data collection for ongoing
monitoring
2. Passive data capture through IoT for
objective continuous monitoring
3. Patient portals for two-way
communication and self-management
4. Data aggregation and analytics for Real-
Time Shared decision support
5. Dashboards and management tools to
trigger collaborative actions and
improvements
Source: www.datstat.com

6
1. Longitudinal data collection
• Surveys to capture patient experience, with findings highlighting issues
to be addressed from the patient’s perspective
• E.g. coordination of care, pain management, respect for preferences, etc.
• Health care has not yet fully embraced using patient feedback as a driver
of quality improvement

7
2. Continuous data capture
• Many different applications, sensors, wearables, and mobile apps and Internet of
Things devices continuously capture patient’s data
• Information is often too generalized or is too specific.
• They address part of the patient’s continuum but few have been adopted to encompass the
entire continuum of care.

8
3. Patient portals for self-management and engagement
• New technologies on the rise aim at making the patient experience as engaging and
educational as possible, to help keep patient populations out of the hospital:
• Self-management tools to understand what makes them sick, how to stay healthy, and
what to do if their conditions get worse.
• Two way communication tools (web, mobile, social) to be active participants in their
care by asking questions, knowing their medical history, and learning about care
• True information exchange and personalizing information based on patient’s
demographic, disease, co-morbid conditions and personal preferences
• Planned, managed and measured experiences across the whole patient’s care
continuum result in better patient satisfaction.

9
4. Data analytics for decision support
• From diagnostic care to predictive medicine, expanding patient continuum to include
prevention, wellness and lifestyle changes as well disease management:
• Predictive analytics provides accurate picture of present and prediction of future trends.
• Prescriptive analytics include evidence, recommendations and actions for what the
patient needs to do next in the continuum of care.
• As the analytic IT tools of healthcare organizations expand to become more predictive,
the resultant proactive decision making will enable them to better meet the needs
of patients and effectively meet their expectations.

10
5. Dashboards and collaborative management tools
• Healthcare dashboards are critical for all actors who need quick and insightful
answers to their questions, recommendations for improvement and calls to
decision making in an easy-to-understand visual format.
• Professionals in every healthcare tier and level, social workers, patients and caregivers:
they need collaborative and adaptive case management tools to share data and
processes and effectively partner across the whole patient journey.

11
Building patient-provider partnership
• Being informed about the patient experience is a crucial first step towards actively
partnering to drive improvement in health care quality. Next step is not happening yet.
• Patients who can better manage their own health care, as indicated by higher levels
of knowledge, skills and confidence, also report higher patient experience ratings.
• Far more than clinicians, patients understand how services could be better designed.
• Partnership with patients requires empowering patients as true members of
the care team.
• Such partnership is far more than the latest route to healthcare efficiency, is a
fundamental shift in the power structure in healthcare and a renewed focus on the
core mission of health systems.
Richards, R., Montori, V., Godlee, F., Lapsley, P., et al. “Let the patient revolution begin.” BMJ (2013).

12
Health Forecast – Big Data analytics
• Integrated analysis of clinical, environmental, and genomic Data using Machine
Learning techniques to predict risks of Complex Multifactor Illnesses
• Big Data platform to facilitate analysis of highly multidimensional data as well as
develop predictive services to study and support the prognosis of illnesses to
bioresearchers, clinical practitioners and patients
• Two ongoing studies: patients with diabetis (type-II) and comorbidities; and patients
with lung cancer

13
SAAPHO – Secure Active Aging: Participation and Health for the Old
From co-design to user acceptance to product

www.ekauri.com
Teleassistance of 3rd generation to promote autonomy, safety and wellness
for the elderly

www.ekauri.com
Safety + autonomy + wellness
• Peace of mind and safety for relatives and caregivers:
Check at any time how is your patient doing
Get alerts upon potential anomalous situations
• Enable social inclusión and healthy habits
• Enhance user autonomy
Increase time to enjoy life
Decrease the need for follow-up trips

Solution for remote professional management
of patients at their own home
ekenku
Cloud
ekenku
Mobile

Benefits for patients
-Prediction of exacerbations and
proactive interventions.
-Reduction of hospital stays and
follow-up trips.
-Real-time remote support.
-Better adherence to
treatments.
-Better healthcare outcomes.

18
Connecare - Integrated care for chronic patients

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Patient experience as innovation driver in
healthcare technologies -> Measurable outcomes
• How can technology enable a positive Return Of Investment to a patients’
perception of their care?
• Which technologies will likely influence the patients’ experience and ultimately rate
the healthcare organization high?
• How do companies and healthcare providers measure and predict the impact to the
patient experience when developing a new technology or process?
Werder, Matthew (2015) "Health information technology: A key ingredient of the patient experience," Patient Experience Journal: Vol.2: Iss. 1, Article 19.
Source: www.bfwh.nhs.uk

Moltes gràcies!
¡Muchas gracias!
Thank you!
Merci!
felip.miralles@eurecat.org

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