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Special Session
Special Session on
Healthcare Decision Support Systems Modelling and Development
 - HDSSMD 2023

16 - 18 February, 2023 - Lisbon, Portugal

Within the 16th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2023


Elisavet Andrikopoulou
University of Portsmouth
United Kingdom

Brief Bio
Dr. Elisavet Andrikopoulou is a Senior Lecturer at the School of Computing, University of Portsmouth, United Kingdom (UK). Elisavet holds a PhD in health informatics. She has won several awards including the HDR UK Collaborathon 2020. Elisavet has a computer science and law background as well as a master’s degree in research in simulation modelling. Elisavet has worked in Greece, Germany, Belgium and the UK in a number of positions varying from law apprentice to database administrator and IT consultant. Her current research interests involve healthcare decision making support and improving the quality of life of people with long-term conditions using technology specialising on personal health records. Elisavet is a member of BCS and IET, and her teaching focuses mainly on data visualisation and data analytics.
Connor Price
University of Portsmouth
United Kingdom

Brief Bio
Connor is currently a PhD student in Clinical Outcome Modelling, a Data Engineer for North of England Commissioning Support Unit, and also a Research Associate at the University of Portsmouth. He holds a BSc in Biomedical Genetics, and an MSc in Bioinformatics, both from Newcastle University. Connor has experience of healthcare data in a research context, through PhD studies regarding the performance of early warning scores across patients with differing diagnoses, and involvement in projects with PACIFIC-19 research group, a collaboration between Portsmouth Hospitals and the University of Portsmouth, as well as in an industry context through work with the NHS, supporting analysts, GP Practices and Trusts in data migration, data cleansing and pseudonymisation. Connor was a member of the winning team in the HDR UK Collaborathon 2020, investigating the use of Clinical Query Language to access FHIR servers and the healthcare data stored within.
Matt Dennis
University of Portsmouth
United Kingdom

Brief Bio
Dr Matt Dennis is Associate Head for Student Experience and Senior Lecturer in the School of Computing at the University of Portsmouth. He has previously worked on the dot.rural ASICA project, which aimed to help those previously diagnosed with Melanoma check their skin for suspicious moles using a new technological intervention, in partnership with the National Health Service (Scotland) and the School of Medicine at the University of Aberdeen. His research is in adaptive and persuasive systems, particularly those targeted towards personality and motivation. He completed his PhD in 2014 at the University of Aberdeen which investigated how feedback to learners should be tailored to their personality. He has also worked on the tailoring of skin-check reminders to patient personality as part of the ASICA project, and investigated how to develop an intelligent conversational agent for community first responders to help with stress. More recently, he has worked with the Department of Psychology at the University of Portsmouth on the ACRE-SHAPE project, which creates an online report for those with Autism to better understand their condition, needs, and explain this to potential and current employers. Matt is a regular reviewer for the UMAP conference, and the associated UMUAI journal.


A healthcare decision making support system intends to assist clinicians in improving healthcare delivery and outcomes. These systems are predominantly used to combine the patient data and information or suggestions for the clinician, using electronic health records, personal health records and interoperability.

This special session aims to bring together clinicians and informatics researchers from academia and industry to obtain an insight into the current state of the the health decision support systems and to discuss the challenges, approaches, development and future directions of health-related workflows and how using technologies such as Clinical Quality Language, ISO standards and personal health records could improve and support the healthcare decision making.


Topics of interest include, but are not limited to:
  • Implementation of current technologies assisting in transformation of clinical guidelines into executable knowledge
  • Workflow development of current technologies assisting in transformation of clinical guidelines into executable knowledge
  • Transformation of clinical guidelines into executable knowledge
  • Evaluation of current technologies assisting in transformation of clinical guidelines into executable knowledge
  • Investigate the role of personal health records in healthcare decision making
  • Personalised and tailored personal health records development for long-term conditions
  • Representation and visualisation of healthcare artefacts


Paper Submission: December 21, 2022 (expired)
Authors Notification: January 10, 2023 (expired)
Camera Ready and Registration: January 18, 2023 (expired)


Taiwo Adedeji, University of Portsmouth, United Kingdom
Richard Boakes, University of Portsmouth, United Kingdom
Oluwatobi Fajana, University of Portsmouth, United Kingdom
Helena Herrera, University of Portsmouth, United Kingdom
Rinat Khusainov, University of Portsmouth, United Kingdom
Alaa Mohasseb, University of Portsmouth, United Kingdom
Abiodun C. Oloye, Independent Researcher, United Kingdom
Omobolanle Omisade, University of Portsmouth, United Kingdom
Penny Ross, BAE Systems, United Kingdom
Paul Rutter, University of Portsmouth, United Kingdom
Justin Vaughan, University of Portsmouth, United Kingdom

(list not yet complete)


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


BIOSTEC Special Sessions - HDSSMD 2023