Course Code: ΜΥ2.1

Course Tile: Designing Innovative Health Applications

Weekly Teaching Hours: 3

Credits: 8

Upon successful completion of the course, students will be able to:

• Understand mobile device technologies.
• Define the concepts of mobile and ubiquitous computing.
• Comprehend the design requirements and challenges.
• Recognize the factors affecting the user experience.
• Understand the phases involved in the design process of (mobile) applications.
• Implement mobile applications using tools on the Android platform, utilizing only graphical programming.
• Develop theoretical insights and critically assess the appropriateness and implications of GIS approaches and health mapping.
• Understand and apply GIS techniques and analysis tools in epidemiological data management tasks, such as vulnerability mapping using census data or risk modeling.
• Learn important cartographic principles and develop their own GIS maps.
• Identify available sensors and wearable devices.
• Recognize the benefits of telehealth and mobile health.
• Create requirements for innovative mobile health applications.
• Participate in interdisciplinary teams for designing mobile health and telehealth applications.

Bibliography

• Brewer, C.A. (2006). Basic mapping principles for visualizing cancer data using geographic information systems (GIS). American Journal of Preventative Medicine, 30(2S): S25-S36.
• Büchele, B., Kreibich, H., Kron, A., Thieken, A., Ihringer, J., Oberle, P., Merz, B., and Nestmann, F. (2006). Flood-risk mapping: contributions towards an enhanced assessment of extreme events and associated risks, Nat. Hazards Earth Syst. Sci., 6: 485-503.
• Cutter, S. (2003). GIScience, disasters, and emergency management. Transactions in GIS, 7(4): 439–445. Esri (2017). Emergency and Disaster Management. Webpage. Accessed 24 September, 2017 at http://www.esri.com/industries/public-safety/emergency-management.
• Goodchild, M.F., & Glennon, J.A. (2010). Crowdsourcing geographic information for disaster response: A research frontier. International Journal of Digital Earth, 3(3): 231-241.
• Haworth, B. (2018). Implications of volunteered geographic information for disaster management and GIScience: A more complex world of volunteered geography. Annals of the American Association of Geographers, 108(1): 226-240.
• https://appinventor.mit.edu/
• Ethan Marcotte, Responsive Web Design, Brief Books for People Who Make Websites, A Book Apart, 2011, ISBN-10: 098444257X.
• Tim Kadlec, Aaron Gustafson, Implementing Responsive Design: Building Sites for an Anywhere, Everywhere Web (Voices That Matter), New Riders Pub; 1st edition (July 31, 2012), ISBN-10: 0321821688
• Koumpouros, Y. «Digital Health & Modern Technologies in Health Promotion», New Technologies Publications, ISBN: 978-960-578-068-5, 1st Edition 2020.

Course Code: ΜΥ2.2

Course Title: Digital Marketing in Healthcare

Weekly Teaching Hours: 3

Credits: 6

The course aims to equip students with knowledge of digital marketing. Emphasis is placed on both theoretical background and practical application, so that immediately after, the healthcare professional can design and implement a comprehensive digital promotion strategy. The course does not require specialized IT knowledge and concludes with a practical exercise where the trainee is required to organize the digital marketing for their own business. The course provides all the necessary theoretical and practical knowledge regarding the techniques, methods, and tools used to design a comprehensive digital marketing strategy.

Upon completion of the course, students will:

• Know the basic terminology of digital marketing.
• Understand the fundamental techniques and practices of proper marketing.
• Be able to design an appropriate digital communication plan.
• Know and be able to choose the most modern strategies for digital communication.
• Perceive and recognize how digital marketing can assist the organization/healthcare professional.
• Identify the advantages of investing in digital marketing for an organization/healthcare professional.
• Know the available tools and platforms for digital marketing.
• Be able to use the most modern tools for their digital promotion.
• Be capable of creating and implementing their own strategy through digital media.

Bibliography

• Olivia Flaggert, “Healthcare marketing in the digital times”, 2018
• Eric N. Berkowitz, “Essentials Of Health Care Marketing”, 5^th edition, Jones & Bartlett Learning, 2022
• Setiawan Iwan, Kotler Philip, Kartajaya Hermawan, “Marketing 5.0: Technology for Humanity”, Wiley editions, 2021
• Keith Boswell, Mikkel deMib Svendsen, “Digital Marketing for Healthcare: A Professional Guide to Online Marketing Strategies for Healthcare Marketers”, 2014
• John L. Fortenberry Jr., “Health Care Marketing: Tools and Techniques: Tools and Techniques”, 3rd Edition, Jones & Bartlett Publishers, 2010
• Lorren Pettit, “Cultivating a Digital Culture for Effective Patient Engagement: A Strategic Framework and Toolkit for Health-Provider Websites (HIMSS Book)”, 1st Edition, CRC Press, Taylor & Francis Group, 2020
• Brendan Kane, “Hook Point: How to Stand Out in a 3-Second World”, Waterside Productions, 2020
• Robert Wachter, “The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age”, McGraw-Hill Education, 2017
• Vlakhopoulou, M. Digital Marketing: From Theory to Practice. Rosili, 2020
• AnaCruz, “Ψηφιακό Μάρκετινγκ και SocialMedia: Μία προσέγγιση βασισμένη σε αποτελέσματα”, 2017
• P Arni, S Laddha, “Adoption of Digital Marketing in Health Industry”, SIES Journal of Management, 2017
• Vaibhava Desai, “Digital marketing: A review”, International Journal of Trend in Scientific Research, https://doi.org/10.31142/ijtsrd23100 , 2019
• M Grbic, D Stimac Grbic, L Stimac, Z Sostar, Digital marketing in healthcare, European Journal of Public Health, Volume 29, Issue Supplement_4, November 2019, https://doi.org/10.1093/eurpub/ckz186.077
• Arshanapally S, Green K, Slaughter K, Muller R, Wheaton D. Use of a Paid Digital Marketing Campaign to Promote a Mobile Health App to Encourage Parent-Engaged Developmental Monitoring: Implementation Study. JMIR Pediatr Parent. 2022 Apr 5;5(2):e34425. doi: 10.2196/34425. PMID: 35380545.
• Nunan, D., & Di Domenico, M. (2019). Older Consumers, Digital Marketing, and Public Policy: A Review and Research Agenda. Journal of Public Policy & Marketing, 38(4), 469–483. https://doi.org/10.1177/0743915619858939

Course Code: ΜΥ2.3

Course Title: Ethics, Intellectual Property, and Data Protection

Weekly Hours Teaching: 3

Credits: 8

The course focuses on the protection of personal data against processing. It develops a framework for understanding the ethical issues involved in the collection and management of user data in healthcare services. Students are introduced to ethical codes of practice and accountability, examining how user data is ethically utilized in healthcare and social care environments and the impact of unethical practices. The course also covers aspects of data ownership. Key issues of ethics and data ownership are presented, with case studies and questions that encourage active self-reflection and evaluation, providing students the opportunity to give and receive constructive feedback.

Upon completion of the course, students will:

• Understand the basic principles of the General Data Protection Regulation (GDPR).
• Know the ethical dimensions of collecting and processing personal data.
• Be aware of the obligations of private and public healthcare providers.
• Understand the rights of data subjects.
• Perceive the technological implications of adopting GDPR.
• Recognize the requirements of the new personal data protection regulation.
• Analyze the adoption of GDPR from different perspectives.
• Understand the impacts of GDPR implementation.
• Know basic technological approaches for GDPR application.
• Demonstrate a critical understanding of the ethical challenges and data ownership issues related to the use of user data in healthcare services.
• Apply logical, analytical, and problem-solving skills to identify and assess current ethical challenges and data ownership issues to make informed decisions in the healthcare services field.
• Have the ability to effectively communicate about data ethics and ownership issues.

Bibliography

• B. Robichau (2014) Healthcare information privacy and security: regulatory compliance and data security in the age of electronic health records.
• S. Garfinkel and H.R. Lipford (2014) Usable security: history, themes, and challenges.
• F. Cranor and S. Garfinkel (2005) Security and usability: designing secure systems that people can use.
• Smart N. (2003) Cryptography: an introduction.
• Valasi-Adam E, “Ethics and Deontology in Health. P.X. Paschalidis Medical Publications”, 2012
• Kanellos, L. (2020). THE GDPR HANDBOOK: For DPOs, Businesses & Organizations. Nomiki Bibliothiki.
• Tintzoglidou, N. (2020). GDPR Implementation Guide. Nomiki Bibliothiki, https://www.cnil.fr/en/open-source-pia-software-helps-carry-out-data-protection-impact-assesment
• Health On the Net, https://www.healthonnet.org
• Hellenic Data Protection Authority. (n.d.). Retrieved from https://www.dpa.gr/
• Hellenic Republic. (1981). On the liquidation of the records of nursing institutions, welfare institutions, and nursing training schools (Public Entities), under the jurisdiction of the Ministry of Social Services. Presidential Decree 1258/81, Government Gazette 309, October 18, 1981.
• Hellenic Republic. (1983). National Health System. Law 1397, Government Gazette 143, October 7, 1983.
• Hellenic Republic. (1997). Protection of individuals with regard to the processing of personal data. Law 2472, Government Gazette 50, April 10, 1997.
• Hellenic Republic. (2006). Protection of personal data and privacy in the electronic communications sector and amendment of Law 2472/1997. Law 3471, Government Gazette 133, June 28, 2006.
• Hellenic Republic. (2019). Hellenic Data Protection Authority, measures for the implementation of Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and the incorporation into national law of Directive (EU) 2016/680 of the European Parliament and of the Council of 27 April 2016 and other provisions. Law 4624, Government Gazette 137, August 29, 2019.
• Hellenic Republic. (2019). Constitution of Greece. Government Gazette 211, December 24, 2019.
• European Union. (2012). Consolidated version of the Treaty on European Union and the Treaty on the Functioning of the European Union. 2012/C 326/01, October 26, 2012.
• European Union. (2016). Charter of Fundamental Rights of the European Union. 2016/C 202/02. Retrieved from https://eur-lex.europa.eu/legal-content/EL/TXT/?uri=celex:12016P/TXT
• European Parliament (2002): Directive 2002/58/EC: Processing of personal data and the protection of privacy in the electronic communications sector. European Parliament and Council of the European Union, July 12, 2002.
• European Parliament (2011): Directive 2011/24/EU: Application of patients’ rights in cross-border healthcare. European Parliament and Council of the European Union, March 9, 2011.
• European Parliament (2015): Directive (EU) 2015/1535: Establishment of an information procedure in the field of technical standards and regulations and of rules on Information Society services. European Parliament and Council of the European Union, September 9, 2015.
• European Parliament (2016): Regulation (EU) 2016/679: Protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). European Parliament and Council of the European Union, April 27, 2016.

Course Code: ΜΥ2.4

Course  Title: Human-Centered Design and Evaluation of Health Technological Innovations

Weekly Hours Teaching: 3

Credits: 8

The course involves acquiring theoretical and practical knowledge related to the design of innovative health technologies. More specifically, upon completion of the course, the student will:

• Be able to design a research protocol for the evaluation of technological innovations.
• Recognize the most well-known scales and methodologies for evaluating health technology solutions.
• Be able to identify and appropriately use valid and reliable evaluation tools.
• Be able to design parameters for the evaluation of technological innovations.
• Understand the design principles for the implementation of innovative technologies.
• Be able to identify and select appropriate tools and methodologies for reliable and valid assessment of health technology aids.
• Have acquired the necessary knowledge to participate in an interdisciplinary team for the design of technological innovations.
• Understand the basic principles of human-centered design.

Bibliography

• Y. Koumpouros, «Digital Health & Modern Technologies in Health Promotion», New Technologies Publications, ISBN: 978-960-578-068-5, 1st Edition 2020.
• A. Weiss, R. Bernhaupt , M. Lankes , M. Tscheligi (2009), “The USUS evaluation framework for human-robot interaction”, in AISB2009: Proceedings of the Symposium on New Frontiers in Human-Robot Interaction
• A. Weiss, R. Bernhaupt, Μ. Tscheligi (2011), “The USUS evaluation framework for user-centered HRI”, In: Dautenhahn, K., Saunders, J. (eds.) New Frontiers in Human–Robot Interaction, pp. 89–110. John Benjamins Publishing Co., Amsterdam
• C. Bartneck, D. Kulic, E. Croft (2009), “Measuring the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots”, in International Journal of Social Robotics, Volume 1, Issue 1: 71-81
• C. Zickler, S. Halder, S. C. Kleih, C. Herbert, A. Küblera (2013), “Brain Painting: Usability testing according to the user-centered design in end users with severe motor paralysis”, Artificial Intelligence in Medicine 59, 99-110
• E. Efthimiou, S. Fotinea, T. Goulas, M. Koutsombogera, P. Karioris, A. Vacalopoulou, I. Rodomagoulakis, P. Maragos, C. Tzafestas, V. Pitsikalis, Y. Koumpouros, A. Karavasili, P. Siavelis, F. Koureta, D. Alexopoulou (2016), “The MOBOT rollator human-robot interaction model and user evaluation process,” 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens, pp. 1-8, doi: 10.1109/SSCI.2016.7850061
• E.M. Holz, J. Höhne, P. Staiger-Sälzer, M. Tangermann, A. Küblera (2013), “Brain–computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users”, Artificial Intelligence in Medicine 59, 111– 120
• I. Laffont, B. Guillon, C. Fermanian, S. Pouillot, A. Even-Schneider, F. Boyer, M. Ruquet, P. Aegerter, O. Dizien, F. Lofaso (2008), “Evaluation of a stair-climbing power wheelchair in 25 people with tetraplegia”, Arch Phys Med Rehabil; 89: 1958-1964
• K. Hill, R. Goldstein, E. J. Gartner, D. Brooks (2008), “Daily Utility and Satisfaction with Rollators Among Persons With Chronic Obstructive Pulmonary Disease”, Arch Phys Med Rehabil;89:1108-1113
• K. Samuelsson, E. Wressle (2008), “User satisfaction with mobility assistive devices: An important element in the rehabilitation process”, Disability and Rehabilitation, 2008; 30(7): 551-558
• L. Demers, M. Monette, Y. Lapierre, D. Arnold, C. Wolfson (2002), “Reliability, validity, and applicability of the Quebec User Evaluation of Satisfaction with assistive Technology (QUEST 2.0) for adults with multiple sclerosis”, Disability and Rehabilitation, vol. 24, no. 1-3, pp. 21-30
• L. Demers, R. Weiss-Lambrou, B. Ska (2002), “The Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0): An overview and recent progress”, Technology and Disability 14, 101-105
• L. Demers, R. Weiss-Lambrou, B. Ska, “Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST Version 2.0) An Outcome Measure for Assistive Technology Devices”. Webster, NY: The Institute for Matching Person & Technology
• L. Suskie (2004), “What are good assessment practices?”, In: Suskie L, ed. by. Assessing Student Learning: A Common Sense Guide. 1st ed. Bolton, Massachusetts: Anker Publishing Company, Inc
• M.M. Schladen, Y. Koumpouros, M. Sandison, R. Casas, P. Lum (2020), “Conceptualization of Hand-TaPS to measure the subjective experience of dynamic hand orthoses in promoting functional recovery at home after stroke”, Technology and Disability, Pre-press, pp. 1-10, 2020, 10.3233/TAD-200289
• M. Scherer (1998), “Matching Person and Technology Process and Accompanying Assessment Instruments”. Webster, NY: The Institute for Matching Person & Technology, Inc
• Y. Koumpouros (2016), “A Systematic Review on Existing Measures for the Subjective Assessment of Rehabilitation and Assistive Robot Devices”, J. Healthc. Eng. 2016, 1-10
• Υ. Koumpouros, Α. Karavasili, Ε. Efthimiou, S.E. Fotinea, T. Goulas, A. Vacalopoulou (2017), “User Evaluation of the MOBOT Rollator Type Robotic Mobility Assistive Device”, Technologies, 2017, 5(4), 73, https://doi.org/10.3390/technologies5040073
• Υ. Koumpouros, A. Karavasili, E. Papageorgiou, P. Siavelis (2016), “Translation and validation of the Quebec User Evaluation of Satisfaction with Assistive Technology 2.0 (QUEST 2.0) into Greek”, Assistive Technology, The official Journal of RESNA, DOI:10.1080/10400435.2015.1131758
• Υ. Koumpouros, E. Papageorgiou, A. Karavasili (2017), “Development of a New Psychometric Scale (PYTHEIA) to Assess the Satisfaction of Users with Any Assistive Technology”. In: Duffy V., Lightner N. (eds) Advances in Human Factors and Ergonomics in Healthcare. Advances in Intelligent Systems and Computing, vol 482. Springer, Cham, DOI: https://doi.org/10.1007/978-3-319-41652-6_32
• Υ. Koumpouros, E. Papageorgiou, A. Karavasili, D. Alexopoulou (2017), “Translation and validation of the assistive technology device predisposition assessment in Greek in order to assess satisfaction with use of the selected assistive device”, Disability and Rehabilitation: Assistive Technology, 12(5), 2017, 535-542, DOI: 10.3109/17483107.2016.1161088
• Υ. Koumpouros, E. Papageorgiou, A. Karavasili, F. Koureta (2016), “PYTHEIA: A Scale for Assessing Rehabilitation and Assistive Robotics”, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering, 10(11), 522-526
• Υ. Koumpouros, E. Papageorgiou, E. Sakellari, X. Prapas, D. Perifanou, A. Lagiou (2018), “Adaptation and psychometric properties evaluation of the Greek version of WHODAS 2.0. pilot application in Greek elderly population”, Health Services and Outcomes Research Methodology, vol. 18, pp. 63-74, DOI: 10.1007/s10742-017-0176-x
• Υ. Koumpouros, T. Toulias (2020), “User centered design and assessment of a wearable application for children with Autistic Spectrum Disorder supporting daily activities”, PETRA 2020 – The 13th PErvasive Technologies Related to Assistive Environments Conference, June 30 – July 3, 2020, Corfu island, Greece
• Y. Koumpouros, T. Toulias, C. Tzafestas, G. Moustris (2020), “Assessment of an intelligent robotic rollator implementing navigation assistance in frail seniors”, Technology and Disability, vol. 32, no. 3, pp. 159-177
• Y. Koumpouros (2018). Measuring Health and Disability: Handbook for the WHO Disability Assessment Schedule (WHODAS 2.0) Program. University of West Attica & World Health Organization.