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 KingdomPoster 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 Partnership¹JAMK 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.