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      <title-group>
        <article-title>Preface of the 3rd International Workshop on (Meta)Modelling for Healthcare Systems (MMHS 2018)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Adrian Rutle</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yngve Lamo</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Wendy MacCaull</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ludovico Iovino</string-name>
          <email>ludovico.iovino@gssi.it</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Computing, Mathematics and Physics Western Norway University of Applied Sciences.</institution>
          <addr-line>Bergen</addr-line>
          ,
          <country country="NO">Norway</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Department of Mathematics, Statistics and Computer Science St. Francis Xavier University</institution>
          ,
          <addr-line>Antigonish</addr-line>
          ,
          <country country="CA">Canada</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Gran Sasso Science Institute</institution>
          ,
          <addr-line>V.le Francesco Crispi, L'Aquila</addr-line>
          ,
          <country country="IT">Italy</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>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 business process modelling, domain speci c languages for representation of health resources (HL7 FHIR), and conceptual modelling with archetypes (OPEN EHR), However, there is still a huge potential for metamodelling and model based software engineering to tackle problems such as software interoperability, formalization and simulation of work processes and clinical guidelines, domain speci c abstractions, etc. The goal of this workshop was to create a forum for healthcare system developers and researchers on the one side and modeling researchers and the modeling community on the other.</p>
      </abstract>
      <kwd-group>
        <kwd>modeling in healthcare</kwd>
        <kwd>metamodeling in healthcare</kwd>
        <kwd>interoperability</kwd>
        <kwd>integration</kwd>
        <kwd>clinical guidelines</kwd>
        <kwd>domain-speci c modeling</kwd>
      </kwd-group>
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    <sec id="sec-1">
      <title>Objectives and scope</title>
      <p>Rising costs, ageing populations and increased expectations are making the
current healthcare systems in the developed world unsustainable. Information
technology 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
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
productivity, exibility 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
domainexperts.</p>
      <p>The objectives of this years MMHS was to provide a forum for scientists
and practitioners in both the modelling and the healthcare systems
communities 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 di erent communities, facilitating the
creation of new approaches, and supporting future healthcare systems modelers
through the use of better domain-speci c modelling languages, tools, methods
and guidelines. The workshop also targeted researchers in related communities,
including ontological and knowledge representation, domain-speci c modeling,
human-computer interaction, language design, process modeling, work ow
modeling, and conceptual modelling.</p>
      <p>The workshop accepted presentations of case studies and tool
demonstrations. 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 di erent 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
ontologies
{ (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.,
hospitalcare, home-care, home-family doctor, paramedic-hospital etc.)
{ Success stories of application of (meta)modelling techniques in healthcare
{ Domain speci c languages and software language design for healthcare
applications
{ 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 veri cation of healthcare
processes</p>
      <p>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</p>
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    <sec id="sec-2">
      <title>The Workshop</title>
      <p>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
explaining how the MMHS community could bene t 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.</p>
      <p>Submissions were reviewed by program committee members. The evaluation
of submitted papers was based on originality, scienti c quality and relevance
to the workshop. Each submission received at least two reviews during the rst
round of evaluation. We arranged a second round of reviews for submissions that
received con icting reviews in the rst round.
2.1</p>
      <p>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.</p>
      <p>{ 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
Nationwide 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
focusing on ontology-based knowledge representation and its use in
resourcebounded multi-agent reasoning systems. The basic idea of this paper is to
formalize and capture the agreed domain knowledge, to describe the shared
environment, to de ne shared vocabulary for facilitating knowledge
communication 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
adoption of clinical guidelines in the health sector. Guidelines exist in order to
ensure both quality of care, as well as e cient, e ective and consistent
provision 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
support for work ow, 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 exible systems tailored
to and in uenced by users' targeted needs. In addition, they have identi ed
how well current management strategies align with the clinical guidelines,
and have identi ed areas for improvement where scienti c knowledge can be
used to improve practice. Using domain-speci c modeling languages would
empower the users and remove or reduce the limitation of their in uence on
their functionalities.
{ The paper Integration and Coordination of Health Data Systems:
State-ofthe-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 bene t. The
authors outline a possible work ow in a multi-user environment, which aims
to keep all artifacts consistent, and sketch some of the biggest challenges in
this area. The work ow 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
specialties undertake a cycle of design-led workshops. These workshops aim to
produce a high level mapping of each clinical area and to identify
clinically led and patient centered sustainable improvements. The ndings from
these workshops are planned to form the basis of a specialty-led Access
Collaborative 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
Emental health which is designed to provide internet-based interventions and
data analysis. To support interoperability between di erent devices, apps
and the underlying healthcare systems the infrastructure built on
established standards such as HL7 FHIR and ICD 10. A FHIR interceptor is
incorporated in the system architecture to handle user authorization to
access FHIR resources. Further the authors shows how ontologies, dimensional
modelling and process mining techniques can be combined to tailor
visualization of clinical process at di erent abstraction levels to the needs of the
speci c users.</p>
      <p>Workshop format
The workshop was 1 full day including 1 keynote, 5 presentations and one
plenary discussion. The number of participants was approximately 30, including
the participants of the health technology seminar.
3</p>
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    <sec id="sec-3">
      <title>Organization details</title>
      <p>The workshop was organized at the Western Norway University of Applied
Sciences4 by Ludovico Iovino, Wendy MacCaull, Yngve Lamo and Adrian Rutle.</p>
      <p>The workshop program committee consisted of:</p>
    </sec>
    <sec id="sec-4">
      <title>Acknowledgments</title>
      <p>We would like to thank Aravinthan Yogarajah for his role as practical and local
organizer of the workshop.</p>
    </sec>
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