The document discusses the rationale for reforming health professions education and systems for health using an ICF framework. It argues this could ultimately result in personalized, predictive healthcare through the use of big data and patient-driven data obtained by utilizing an ICF paradigm. This reform seeks to move towards community-based, holistic care with shared decision-making and reduce institutionalized silos. It is dependent on technology and utilizing the ICF framework could contribute to reaching health equity goals by strengthening systems for universal healthcare coverage.

1. ICF education: rationale
First International Symposium: ICF Education
5 June, Helsinki, Finland
Stefanus SNYMAN1, Heidi Anttila2 &
Olaf KRAUS de CAMARGO3
1 University of Stellenbosch, South Africa
2 National Institute for Health and Welfare, Finland
3 CanChild, McMaster University, Canada
1
@icfmobile

2. Interprofessional collaboration
and transforming health
professions education
Stefanus Snyman
@stefanussnyman
5 June 2015 2

6. HEALTH
EQUITY
PATIENT-
CENTREDNESS
INTEGRATED
COMMUNITY-BASED
CARE
INTERPROFESSIONAL
EDUCATION & COLLABORATIVE
PRACTIVE
(catalyst for change)
INSTRUCTIONAL
TRANSFORMATION
(health professions
education)
INSTITUTIONAL
REFORM
(interdependence in
providing healthcare)

7. RATIONALE
REFORMING
SYSTEMS FOR
HEALTH
HEALTH EQUITY

8. Bio-psycho-social-spiritual approach
incorporating the complex interrelatedness of:
• changes in body functions and body structures,
• functioning and fulfilling life roles, in the context of
• the barriers and facilitators of environmental factors influencing
health (including social determinants of health)
• personal factors influencing health
which required competencies related to a
a person-centred approach
HOLISTIC CARE, SHARED DECISION-MAKING AND
PERSON-REPORTED OUTCOMES
resulting in
through
creating the opportunity for
PERSON-DRIVEN DATA

9. RATIONALE
HEALTH EQUITY
REFORMING
SYSTEMS FOR
HEALTH

10. Integrated community-based care
– reforming systems for health
Heidi Anttila
@anttilaheidi
5 June 2015 10

11. Universal health coverage
• World Health Organization (WHO) aims at re-
engineering primary health care with emphasis
on community-based, person-centered care
• The International Classification of Functioning,
Disability and Health (ICF), provides
standardized information structure and
common language across professionals, to
describe the lived experience of a person’s real
life situation
5 June 2015 11

12. Reforming systems for health–
universal health coverage
From
• Institutionalized care
• Silos and professional
tribalism
• Hierachical power relations
• Linearity (cell-organ-body-
disease-disability)
• Professional only
(”objective”)
• Crisis-focussed and
reactive
Towards
• Community-based
• Embracing
interprofessional
collaborative practise
• Holistic care, shared
decision-making
• Complexity (interactive
bio-psycho-social)
• Person-reported
(”subjective”)
• Preventative and predictive
5 June 2015
12

13. Health care reform:
Example: Sub-Saharan Africa
• To ensure effective
interprofessional
communication and
continuity of care
• Nurses, community
health workers,
other health
professionals
Example:
• Challenge by 2015:
1 million
community health
workers needed
• One of the
solutions:
Mobile phones
5 June 2015 13

14. Health and social care reform:
Example: Finland
• To create a novel service structure for Finland's
public social welfare and health services.
• Equal, client-centred and high-quality services,
smooth service and care chains throughout the
country.
• Services should be close to the users, situated
quite close for many people or provided
electronically or as a mobile service as part of
people's everyday lives.
5 June 2015 14

15. Omahoitopolut.fi
Support for the citizen to actively
maintain healthy and active
lifestyle
24.4.2015 FT Heidi Anttila
Use of web:
27% 75-89 y
92% 16-74 y

16. Renewal of services must be
supported by ICT solutions
5 June 2015 mICF International Partnership 16

17. implying
to provide
ultimately resulting in
which is dependent on
obtained by utilising paradigm-shifting
REFORMING SYSTEMS FOR HEALTH
BIG DATA
PREDICTIVE HEALTH CARE
• universal health coverage,
• reducing institutionalised care and
• focusing on preventative healthcare
a focus on community-based practice through
• health-education harmonisation interdependence),
• breaking down silo's and professional tribalism,
• embracing interprofessional collaborative practice,
• decreasing power relations,
• and using information technology
PERSON-DRIVEN DATA

18. REFORMING
SYSTEMS FOR
HEALTH
ultimately resulting in
predictive health
care
person-centred approach
holistic care,
shared decision-
making, patient-
reported outcomes
resulting in
through
big data
which is dependent
contributing to reaching
PATIENT-
DRIVEN DATA
creating the
opportunity for
obtained by
utilising
paradigm-shifting
HEALTH EQUITY
HOW
??

19. Patient-Driven Big Data –
Towards Personalized Care
Olaf Kraus de Camargo
5 June 2015 mICF International Partnership 19

20. Striving to personalize care
• Anticipate/predict the needs of the user
• Use the most common codes necessary to describe a
certain condition
• Development of Core-Sets:
– 2001 - 2005: 26 publications
– 2006 - 2010: 76 publications
– 2011 - 2015: 110 publications
• Stroke, Depression, Breast Cancer, Chronic Ischaemic
Heart Disease, Rheumatoid Arthitis, Osteoporosis, Low
Back Pain, Pain, Chronic Health Conditions, Head and
Neck Cancer, Spinal Cord Injury, Sleep Disorders,
Guillain-Barré-Syndrome, Hearing Loss, Incapacity to
Work, Shoulder and Hand Problems, Traumatic Brain
Injury, Cerebral Palsy, Autism Spectrum Disorders, etc.
• Care follows diagnostic or functional labels
5 June 2015 20

21. Evidence Based Practice
includes the Patient
5 June 2015 mICF International Partnership 21
EBM Triad copryright 2013 Florida State University, College of Medicine. All rights reserved.

22. You Need to Empower to
Engage
5 June 2015 mICF International Partnership 22
Institute of Medicine, I. O. M. (2013). Partnering with Patients to Drive Shared Decisions, Better Value, and Care Improvement: Workshop
Proceedings. The National Academies Press. Retrieved from http://www.nap.edu/openbook.php?record_id=18397

23. Shared Decisions Need Clear
Information
5 June 2015 mICF International Partnership 23
Institute of Medicine, (2013). Partnering with Patients to Drive Shared Decisions, Better
Value, and Care Improvement: Workshop Proceedings, The National Academies Press.

24. Example:
mICF Information System
5 June 2015 24

25. What is Big Data?
5 June 2015 mICF International Partnership 25
http://www.politik-forum.eu/viewtopic.php?p=2909009

26. Desire Lines
5 June 2015 mICF International Partnership 26
http://lemasney.com/consulting/2014/02/03/33-365-desire-lines-design-principle/

27. How will mICF be developed?
• Data will be person-driven, facilitating shared
decision-making and well-coordinated, holistic,
continuity of care across various service settings
• Personal health data will be processed securely,
informing a patient-empowering bio-psycho-social
approach
• Big data analytics will enable personalised,
predictive care
• Proof-of-concept validation across the globe will
include low-and middle income countries
5 June 2015 27

28. 5 June 2015 28
• Clinical studies will focus on older people, as
well as children and adults with chronic diseases
• State-of-the-art service design will entail
iterative in-market experimentation, and impact
and economic evaluation
• An extensive dissemination strategy, in close
collaboration with the International mICF
Partnership, will focus on change management,
allowing new patient pathways and
interprofessional collaboration
• Lean, agile commercialisation will ensure
sustainability and the development of new
business and service solutions adhering to
ethical and legal regulations

29. Our Desire Lines…
5 June 2015 29
http://homepage.ntlworld.com/davesplace/Chistory.htm
• ICF big data describe each
person with an personalized
functional profile, focusing on
the lived experience and taking
into account relevant localized
environmental factors.
• ICF big data avoid labeling by
diagnostic or functional
category
• ICF big data facilitate
personalized care

30. Cor(e)sets are getting out of
fashion!
5 June 2015 30
http://homepage.ntlworld.com/davesplace/Chistory.htm
• ICF big data describe each person
with an personalized functional
profile, focusing on the lived
experience and taking into account
relevant localized environmental
factors.
• ICF big data avoid labeling by
diagnostic or functional category
• ICF big data facilitate personalized
care

31. 5 June 2015 31
mICF International Partnership
mHealth solution based on
International Classification
of Functioning, Disability
and Health
The mobile ICanFunction App
(mICF)
@ICFmobile
Facebook: ICanFunction

32. RATIONALE FOR ICF EDUCATION
REFORMING
SYSTEMS FOR
FEALTH
ultimately resulting in
predictive health
care
person-centred approach
holistic care,
shared decision-
making, patient-
reported outcomes
resulting in
through
big data
which is dependent
made possible by
resulting in
contributing to reaching
Personalised
healthcare in a
strengthened
systems for health
TECHNOLOGY
UTILISING
ICF
PATIENT-
DRIVEN DATA
creating the
opportunity for
obtained by
utilising
paradigm-shifting
HEALTH EQUITY