mICF poster 4 (petteri) micf lean mvp design

1. Abstract
The objective of this biomedical
informatics work package is to enable
and create the technical service design
and implementation for the mICF
service platform including the mobile
application on selected terminals as
well as the backend Big Data analytics
software by applying lean, agile,
iterative and continuous person-
centered service design methods in
close collaboration in iterative cycles
with WP2. In lean development we
prefer doing things as small as
possible, including using small cross-
functional, collocated development
teams and continuous user
involvement.
mICF Work Package 3
Lean minimum viable product design
and technical implementation
17-23 October 2015
Manchester
United Kingdom
Poster Number: 000
WHO - FAMILY OF INTERNATIONAL CLASSIFICATIONS NETWORK ANNUAL MEETING 2015
Huotari J¹, Masson C², Smith J³, Wagener D², Weckström P¹, on behalf of the International mICF Partnership
¹JAMK University of Applied Sciences, Finland; ²Stone Three Venture Technology (Pty) Ltd., South Africa; ³Texas A&M University, USA
Title
Methods & Materials
The WP3 aims to incorporate this
service design philosophy and tools to
embed the ICF content (specified by
the WP2) into the software so that the
users will be able to operate the
mobile device interface (e.g. graphic,
speech output, voice command) and
make their choices using plain
language.
A Minimum Viable Product (MVP) is a
version of a new product or service
that allows a team to collect the
maximum amount of validated data
about customers use of the product
with the least effort.1 A MVP product
implements just the core features that
allow the product to be deployed, and
no more. The product is typically
deployed to a subset of possible
customers, such as early adopters that
are thought to be more forgiving, more
likely to give feedback, and able to
grasp a product vision from an early
prototype or marketing information.2
In order to maximize the speed and
efficiency of the global co-creative
teamwork in the mICF service design
process, a digital toolchain of cloud-
based product development tools will
be used in all the development cycles.
The N4S@JAMK project team of the
JAMK University of Applied Sciences
(Finland) has designed and
implemented a holistic production line
chain for the design of novel digital
services as illustrated in Figure 1.
The agile software development
methods presented in this poster
enable us to continuously learn from
the end-user features for inclusion in
the design. The aim is to minimize the
risks, and strengthen service user
engagement throughout the software
development cycle.
As an outcome WP3 will result in a
scalable and localised, easy-to-use
mobile ICF solution and backend
platform (MVP) that has been
iteratively designed, tested, and
documented with real service users
and service providers.
www.icfmobile.org
D This poster presents the transprofessional, lean and agile software development process
for the mobile ICanFunction (mICF) solution by describing the Minimum Viable Product (MVP)
development methods including the mobile end user application, as well as the Big Data and computer
modelling platform that will be used to process and analyse the structurised, service user-oriented ICF
assessment data.
Introduction Conclusion
Results
References
[1] Moogk, D. (March 2012). Minimum
viable product and the importance of
experimentation. Technology
Innovation Management Review.
[2] Ries, E. (3. 08 2009). Minimum
Viable Product: a guide« , 25.02.2015:
http://www.startuplessonslearned.com
/2009/08/minimum-viable-product-
guide.html.
Figure 1: A reference production
development environment for the MVP
The outcomes of the technical service
design and implementation for the MVP
service platform include the mobile
frontend solution on selected terminals
as well as the backend Big Data
analytics software and support
systems that will receive data on a
server and perform big data analysis
for enhanced shared decision-making.
(Figure 2)
Figure 2: Visualization of the mobile ICanFunction (mICF) ICT architecture and data flow
Another important technological aim is
to develop software solution using
natural language processing (NLP) so
that the service users can input their
status of functioning and contextual
factors using a mobile device with
either spoken or typed interaction
depending on the user group. The
developed software solution will link
the person’s input to the structural ICF,
creating a functioning profile with big
data analytics implemented in the
backend service. A person-report
outcome measure (PROM), e.g.
PROMIS, will be incorporated into
mICF to objectively evaluate
outcomes.