=Paper= {{Paper |id=Vol-2336/MMHS2018_preface |storemode=property |title=Preface of the 3rd International Workshop on (Meta)Modelling for Healthcare Systems (MMHS 2018) |pdfUrl=https://ceur-ws.org/Vol-2336/MMHS2018_preface.pdf |volume=Vol-2336 |authors=Adrian Rutle,Yngve Lamo,Wendy MacCaull,Ludovico Iovino }} ==Preface of the 3rd International Workshop on (Meta)Modelling for Healthcare Systems (MMHS 2018)== https://ceur-ws.org/Vol-2336/MMHS2018_preface.pdf
    Preface of the 3rd International Workshop on
      (Meta)Modelling for Healthcare Systems
                    (MMHS 2018)

    Adrian Rutle1 , Yngve Lamo1 , Wendy MacCaull2 , and Ludovico Iovino3
1
   Department of Computing, Mathematics and Physics Western Norway University
             of Applied Sciences. Bergen, Norway. {aru,yla}@hvl.no
 2
   Department of Mathematics, Statistics and Computer Science St. Francis Xavier
                University, Antigonish, Canada. wmaccaul@stfx.ca
       3
         Gran Sasso Science Institute, V.le Francesco Crispi, L’Aquila, Italy.
                            ludovico.iovino@gssi.it



      Abstract. MMHS 2018 was arranged as a joint workshop with the
      HealthTech seminar at Western Norway University of Applied Sciences,
      Bergen, Norway, June 13-15. It was the third workshop in the MMHS
      workshop series focusing on modeling and metamodeling for healthcare
      systems. E-health is one of the fastest growing ICT markets. According
      to Mordor Intelligence the market share for e-health was estimated as
      USD 124 billion in 2016 and is projected to reach USD 244 billion by
      2021, growing at a compound annual growth rate of 14.56% during the
      forecast period. Major software and ICT infrastructure companies are
      currently investing for this growth. Several modelling approaches have
      been successfully implemented in the healthcare domain, such as busi-
      ness process modelling, domain specific languages for representation of
      health resources (HL7 FHIR), and conceptual modelling with archetypes
      (OPEN EHR), However, there is still a huge potential for metamod-
      elling and model based software engineering to tackle problems such as
      software interoperability, formalization and simulation of work processes
      and clinical guidelines, domain specific abstractions, etc. The goal of this
      workshop was to create a forum for healthcare system developers and re-
      searchers on the one side and modeling researchers and the modeling
      community on the other.

      Keywords: modeling in healthcare, metamodeling in healthcare, inter-
      operability, integration, clinical guidelines, domain-specific modeling


1    Objectives and scope

Rising costs, ageing populations and increased expectations are making the cur-
rent healthcare systems in the developed world unsustainable. Information tech-
nology has the potential to support healthcare but its application has not nearly
reached its full potential. Barriers include the distributed nature of the services
and local variations in policies; continuous changes due to updates in the rules
2         Adrian Rutle, Yngve Lamo, Wendy MacCaull, and Ludovico Iovino

and guidelines; the complexity of the information; and the many and varied of
requirements placed on the systems by a network of stakeholders. Model-based
software engineering (MBSE) is an emerging and promising methodology for
software systems, targeting challenges in software engineering relating to pro-
ductivity, flexibility and reliability. MDSE is especially useful as a methodology
for the development of healthcare systems having the above mentioned barriers
in mind. Modelling and metamodelling is fundamental for MDSE techniques,
especially when new tools and modelling languages are created for the domain-
experts.
    The objectives of this years MMHS was to provide a forum for scientists
and practitioners in both the modelling and the healthcare systems communi-
ties to identify and investigate problems related to the applicability of current
modelling techniques to healthcare systems design. MMHS 2108 also aimed to
build new collaborations between the different communities, facilitating the cre-
ation of new approaches, and supporting future healthcare systems modelers
through the use of better domain-specific modelling languages, tools, methods
and guidelines. The workshop also targeted researchers in related communities,
including ontological and knowledge representation, domain-specific modeling,
human-computer interaction, language design, process modeling, workflow mod-
eling, and conceptual modelling.
    The workshop accepted presentations of case studies and tool demonstra-
tions. Submissions were invited dealing with model based and software language
design techniques in general and modelling and metamodelling in particular,
focusing on their applicability to healthcare, and could range from theoretical
aspects to more applied case studies or prototype systems targeting applications.
Suggested topics included, but were not limited to:

    – Modelling and simulation of care processes
    – (Meta)modelling of different aspects of the health care domain e.g., security,
      privacy, process monitoring, user interaction, data representation, clinical
      guidelines etc.
    – Knowledge representation in the form of metamodeling, archetypes and on-
      tologies
    – (Meta)modelling techniques for patients’ self-management of diseases
    – (Meta)modelling techniques for integration and coordination of health data
      systems
    – Techniques for interoperability of healthcare systems
    – Modelling of care processes that crosses institutional boarders (e.g., hospital-
      care, home-care, home-family doctor, paramedic-hospital etc.)
    – Success stories of application of (meta)modelling techniques in healthcare
    – Domain specific languages and software language design for healthcare ap-
      plications
    – Modelling, communicating and presenting the various users’ (e.g. patients
      and healthcare professionals) interaction with the health care system
    – Formal techniques for software development and verification of healthcare
      processes
                                 Title Suppressed Due to Excessive Length      3

   The previous versions of the MMHS workshop, MMHS 2014 (Halifax, Canada)
and MMHS 2015 (Berlin, Germany), were organized as a satellite event of the
ICTH conference.


2     The Workshop
The 2018 version of the MMHS workshop was arranged at Western Norway
University of Applied Sciences, Bergen, Norway as part of a 3 days seminar on
health technology 13-15 June, 2018. We had invited three types of submissions:
Full papers, Tool presentations and Posters:
 – Full papers and Tool presentations (max. 15 pages) were requested to be
   submitted using Springer LNCS template; the papers were refereed.
 – Tool presentations could alternatively be submitted as a short abstract ex-
   plaining how the MMHS community could benefit from using the tool.
 – Poster announcements of previously published work or of works in progress,
   including tool development were also invited. This was meant to provide
   an opportunity for authors who are interested in discussing their published
   research with the MMHS community and giving a talk.
    Submissions were reviewed by program committee members. The evaluation
of submitted papers was based on originality, scientific quality and relevance
to the workshop. Each submission received at least two reviews during the first
round of evaluation. We arranged a second round of reviews for submissions that
received conflicting reviews in the first round.

2.1   Workshop proceedings
5 papers, which were accepted by the program committee of the workshop, are
included in this CEUR Workshop proceedings. The proceedings also include 1
invited paper.

 – The invited paper 10 Years with the e-Health System in Estonia presents
   a short history, general business and technical architecture and generalize
   the lessons learned from the past 10 years of operating the Estonian Nation-
   wide Health Information System (EHIS). The authors gives us a historical
   overview of the establishment of the EHIS. Moreover, they identify its success
   factors such as clear governance, legal clarity, mature ecosystem, agreement
   about access rights and standardization of medical data and data exchange
   rules. The authors shows us how the experiences from operating EHIS could
   serve as an overall overview of the requirement for success and the pitfalls
   to be avoided in developing and maintaining nationwide e-Health systems.
 – The paper Smart Space System Interoperability provides an overview fo-
   cusing on ontology-based knowledge representation and its use in resource-
   bounded multi-agent reasoning systems. The basic idea of this paper is to
   formalize and capture the agreed domain knowledge, to describe the shared
4         Adrian Rutle, Yngve Lamo, Wendy MacCaull, and Ludovico Iovino

      environment, to define shared vocabulary for facilitating knowledge commu-
      nication between the agents, to reason and process the shared information,
      and eventually to provide a solution to informed decision-making in eHealth
      systems.
    – The paper Scanning the Medical Terrain: An aid to quicker adoption of
      guidelines presents a study which examine a means to ensure quicker adop-
      tion of clinical guidelines in the health sector. Guidelines exist in order to
      ensure both quality of care, as well as efficient, effective and consistent pro-
      vision of healthcare services. The paper argues that existing guidelines are
      often not adopted in a timely manner, even to the point of being outdated
      at the time of adoption. It also argues that in clinical practice many of the
      Electronic Health Record systems are expensive and provide limited sup-
      port for work flow, limited user involvement during implementation, and
      limited potential for adaptation to changes of the program. Consequently,
      the authors believe that there is a need for more flexible systems tailored
      to and influenced by users’ targeted needs. In addition, they have identified
      how well current management strategies align with the clinical guidelines,
      and have identified areas for improvement where scientific knowledge can be
      used to improve practice. Using domain-specific modeling languages would
      empower the users and remove or reduce the limitation of their influence on
      their functionalities.
    – The paper Integration and Coordination of Health Data Systems: State-of-
      the-Art and Open Problems gives an overview of recent and current research
      activities in global consistency management, from which the development
      and maintenance of heterogeneous e-Health systems may benefit. The au-
      thors outline a possible workflow in a multi-user environment, which aims
      to keep all artifacts consistent, and sketch some of the biggest challenges in
      this area. The workflow is intended to both detect inconsistencies and restore
      consistency; in addition an overview of various state-of-the-art approaches
      which tackle these activities is given.
    – The paper Innovation in Digital Health and Care in Scotland describes a
      design-led innovation initiative in Scotland with the goal of delivering the
      Specialty Sub-Group program, in which a range of experts in clinical spe-
      cialties undertake a cycle of design-led workshops. These workshops aim to
      produce a high level mapping of each clinical area and to identify clini-
      cally led and patient centered sustainable improvements. The findings from
      these workshops are planned to form the basis of a specialty-led Access Col-
      laborative Program delivering solutions to help scheduled care services to
      sustainably meet the challenges of the future. Modelling the intention of the
      patients and the clinical personnel is at the core of the improved solutions.
    – The paper Development of an E-mental Health Infrastructure for Supporting
      Interoperability and Data Analysis presents an e-Health infrastructure for E-
      mental health which is designed to provide internet-based interventions and
      data analysis. To support interoperability between different devices, apps
      and the underlying healthcare systems the infrastructure built on estab-
      lished standards such as HL7 FHIR and ICD 10. A FHIR interceptor is
                                    Title Suppressed Due to Excessive Length       5

      incorporated in the system architecture to handle user authorization to ac-
      cess FHIR resources. Further the authors shows how ontologies, dimensional
      modelling and process mining techniques can be combined to tailor visual-
      ization of clinical process at different abstraction levels to the needs of the
      specific users.


2.2     Workshop format
The workshop was 1 full day including 1 keynote, 5 presentations and one ple-
nary discussion. The number of participants was approximately 30, including
the participants of the health technology seminar.


3     Organization details
The workshop was organized at the Western Norway University of Applied Sci-
ences4 by Ludovico Iovino, Wendy MacCaull, Yngve Lamo and Adrian Rutle.
   The workshop program committee consisted of:

 – Andrew Fish, UK
 – Rogardt Heldal, Sweden
 – Ludovico Iovino, Italy
 – Harald König, Germany
 – Yngve Lamo, Norway
 – Wendy MacCaull, Canada
 – Salvador Martines Perez, France
 – Gunnar Phio, Estonia
 – Roberto Rodriguez, Spain
 – Alessandro Rossini, Norway
 – Adrian Rutle, Norway


Acknowledgments
We would like to thank Aravinthan Yogarajah for his role as practical and local
organizer of the workshop.




4
    https://cs.gssi.it/mmhs/