oster presentation at the 2nd International Symposium: ICF Education. 30 June 2017 (Cape Town). THEME: ICF-related data: the new frontier of individualised, predictive healthcare http://www.icfeducation.org

1. Introduction
Title
H.A. Stallinga1, H. Anttila2, P. Weckström3, S. Steiner4, S. Visagie5, T. Maribo6, O. Kraus de
Camargo7, S. Snyman5, on behalf of the International mICF Partnership
1University of Groningen, University Medical Center Groningen, Department of Health Sciences, section Nursing Research, the Netherlands; 2National Institute
for Health and Welfare (THL), Welfare department, Ageing, Disability and Functioning Unit, Helsinki, Finland; 3Jyväskylä University for Applied Sciences,
Jyväskylä, Finland; 4Independent ICF consultant, Wisconsin, USA; 5Stellenbosch University, South Africa; 6Marselisborg Centre, Aarhus University and Central
Denmark Region, Denmark; 7CanChild, McMaster University, Canada; 5Stellenbosch University, South Africa
Title
FunctionMapper as content tool of mICF is
promising to “translate” a person’s
functioning, as described in natural
language by a user, to standardised ICF
terminology. It is being developed keeping
in mind that it will work also as Human-
Machine-Interface (HMI) for Machine
Learning (or Big Data Models) and Artificial
Intelligence (AI) that will, in time, bring
personalized content to the individual
users.
It remains challenging to populate
FunctionMapper to ensure optimal
engagement and to fulfil expectations of
service users and providers. Cognitive
testing, co-creation, active participation
and iterative feedback from mICF frontend
users will assist the development team to
iteratively improve the content and
functionalities of the FunctionMapper.
Following the required international
validation of FunctionMapper, it is
envisaged to serve as a metabase for the
mICF. This will empower service users to
report functional and contextual
information to facilitate a person-centred
bio-psycho-social-spiritual approach to
service provision.
Methods & Materials
Results
Abstract We present the development of FunctionMapper. FunctionMapper is one of the main components of the
ICanFunction mHealth solution (mICF), and converts natural language to a structured output using ICF categories. It
enables and supports coordinated content translations in all spoken languages in the world. This is the first prototype of
mICF that gives individuals the opportunity to describe their own life situation and to share their own data.
Since 2014 the International mICF
Partnership engaged multiple stake-
holders to collaborate in developing the
ICanFunction mHealth Solution (mICF).
Based on ICF, mICF is an envisaged
mobile-friendly health service solution
to facilitate individualised, predictive
care by utilising big data models.
The goal is to develop FunctionMapper
as one of the main components of mICF
(Figure 1). FunctionMapper converts
natural language terms related to
functional and contextual information to
ICF by using a graphical user interface
(GUI) and an application programming
interface (API).
18 ICF experts (11 countries) were
given editing rights to FunctionMapper
and they populated the first prototype.
It includes user needs, ICF terms
(components, chapters, categories,
codes, inclusions and exclusions),
natural language terms (i.e. related
terms and synonyms), and terms of
instruments with related response
scales (Figure 2).
ICF experts created a file of all ICF categories, including titles, definitions,
inclusions and exclusions in English, Finnish, Danish, Portuguese, Dutch and
German. FunctionMapper will be multilingual with the first prototype interface
in Finnish and English. Based on a variety of sources, the Finnish group chose a
set of 171 ICF categories for adults and 39 for children to be used in the first
mICF prototype. For these selected set of ICF categories the following were
developed and edited in FunctionMapper: display names (term to be displayed
in mICF interface), info text (explaining the display name), synonyms & related
terms, related questions and response scales (Figure 3). Currently, the ICF
categories are shown in 19 groups for adults and 11 groups for mICF interface.
Figure 3. Excerpt of pages in
FunctionMapper
2nd International Symposium: ICF education
Cape Town South Africa, 30 June 2017
FunctionMapper: Centralised Content Modelling Tool
for mICF mHealth Solution
Figure 1. The main components of mICF
Figure 2. Relations of the elements in the FunctionMapper
@ICFmobile
www.icfmobile.org
Conclusion