Course Code: ΜΥ1.1

Course Title: Digital Health

Weekly Teaching Hours: 3

Credits: 9

The course focuses on the healthcare sector and new information and communication technologies (ICT). It analyzes issues of interoperability, the use of standards, etc., and extensively references both the use of ICT to improve healthcare services and patient care and methods of resource savings and productivity increases through the use of ICT. It describes developments occurring in the ICT field that affect the healthcare sector, such as telemedicine applications, hospital computerization, automated diagnosis and diagnosis assistance systems, image archiving information systems, radiology department automation, etc. At the same time, it identifies the major challenges hindering the expansion and broader, more integrated dissemination of the offered solutions (e.g., interoperability issues, use of standards, protocols, coding issues). There is also extensive reference to the latest technological developments (e.g., big data, artificial intelligence, mobile health, etc.).

Upon successful completion of the course, students will:

• Have gained a broad understanding of the impact of new technologies on healthcare.
• Be familiar with many of the applications and solutions offered.
• Be able to recognize the major technological terms in healthcare.
• Understand the contribution of new technologies to the improvement of healthcare services.
• Comprehend how technological advancements can assist healthcare workers.
• Recognize the benefits of leveraging digital innovations in healthcare.
• Understand the challenges faced by the domain at the user and technology levels.
• Be able to actively participate in the broader support team for digital applications and innovations.
• Have a comprehensive understanding of issues related to mobile health, electronic health, telemedicine, etc.
• Be aware of the current global state and developments in digital health.
• Know where research is heading and what is expected in the near future concerning healthcare and new technologies, both at the patient and healthcare professional levels.
• Recognize the utility of big data, artificial intelligence, sensors, and robotics applications for the enhancement of healthcare services.
• Evaluate the importance of new technologies in modernizing healthcare organizations to effectively influence and support their digital transformation and improve their competitiveness.

Bibliography

• Koumpouros, Y. «Digital Health & Modern Technologies in Health Promotion», New Technologies Publications, ISBN: 978-960-578-068-5, 1st Edition 2020.
• Taylor, K. (2015) Connected health. How digital technology is transforming health and social care. Deloitte: London, UK.
• C.L. Leonardsen, C. Hardeland, A.K. Helgesen and V. A. Grøndahl (2020) Patient experiences with technology-enabled care across healthcare settings- a systematic review. BMC Health Service Research 20, 779 (2020).
• Saveriano M., Renaudo E., Rodríguez-Sánchez A., Piater J. (eds) Human-Friendly Robotics 2020. HFR 2020. Springer Proceedings in Advanced Robotics, vol 18. Springer, Cham, 2021.
• Koumpouros, Y., & Georgoulas, A. (2019). The Rise of mHealth Research in Europe: A Macroscopic Analysis of EC-Funded Projects of the Last Decade. In A. Moumtzoglou (Ed.), Mobile Health Applications for Quality Healthcare Delivery (pp. 1-29). IGI Global. https://doi.org/10.4018/978-1-5225-8021-8.ch001
• Moumtzoglou, A. (Ed.). (2016). M-Health Innovations for Patient-Centered Care. IGI Global. https://doi.org/10.4018/978-1-4666-9861-1
• Koumpouros, Y., & Georgoulas, A. (2019). The Rise of mHealth Research in Europe: A Macroscopic Analysis of EC-Funded Projects of the Last Decade. In A. Moumtzoglou (Ed.), Mobile Health Applications for Quality Healthcare Delivery (pp. 1-29). IGI Global. https://doi.org/10.4018/978-1-5225-8021-8.ch001
• Koumpouros, Y. (2015). Big Data in Healthcare. In I. Management Association (Eds.), Healthcare Administration: Concepts, Methodologies, Tools, and Applications (pp. 23-46). IGI Global. https://doi.org/10.4018/978-1-4666-6339-8.ch002

Course Code: ΜΥ1.2

Course Title: Healthcare Management

Weekly Teaching Hours: 3

Credits: 8

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

• Recognize the role and importance of strategic management and human resource management in healthcare service units.
• Define the basic concepts and functions of healthcare organization management.
• Use strategic management techniques and models for developing and implementing strategic and operational plans.
• Analyze the production process, the nature and organization of healthcare service units, and their operational procedures.
• Understand the reasons for developing management methods specifically tailored to healthcare services.
• Adopt specific management and leadership theories and evaluate their application in their workplace.
• Define roles, responsibilities, and control techniques based on the specific characteristics of the healthcare organization.
• Know and evaluate the effectiveness of leadership behaviors of executives and their importance for the competitiveness and success of the healthcare organization.
• Understand change management models, their impact on organization management, and the factors that promote innovation.
• Deepen and apply appropriate human resource management practices.

Bibliography

• Adinolfi P., Borgonovi E. (2018) The myths of Health care- Towards New Models of Leadership and Management in the Healthcare Sector, Springer International Publishing
• Ginter P., Duncan W., Swayne L. (2018). Strategic management of health care organizations. John Wiley & Sons Publishing.
• Hill C., Schilling M., Jones G. (2018) Στρατηγικό Μανατζμεντ, Broken Hill Publishing
• Yukl G.,(2019). Leadership In Organizations, Pearson, NY.
• Swailes S., Senior B., (2016). Οργανωσιακή Αλλαγή, brokenhill, Αθήνα
• Turner P.(2019). Leadership in Healthcare, Springer, Switzerland
• Jones G. , George J., (2019) Σύγχρονη Διοίκηση, Broken Hill Publishing
• Selected Articles & Case Studies

Course Code: ΜΥ1.3

Course Title: Utilization of Data for Improving Healthcare

Weekly Teaching Hours: 3

Credits: 8

The course introduces students to the statistical analysis of empirical data to answer research questions and test scientific hypotheses in the field of health. It provides fundamental skills in data management and analysis.

Initially, the basic principles for formulating appropriate research hypotheses, systematic literature review, study design, and execution are given.

Subsequently, the basic principles of data analysis collected in studies are presented to derive reliable and valid conclusions and compare them with the results of previous studies.

An introduction to Statistics and Data Visualization is given, including data collection methods, questionnaire design, types of data, and descriptive data analysis for qualitative and quantitative data.

Next, basic elements of descriptive statistics (measures of central tendency, measures of dispersion, measures of correlation between two variables, etc.) and principles of data analysis are presented.

The course aims to introduce and familiarize students with the use of methodologies and data analytics software through a business intelligence environment.

Basic machine learning techniques such as clustering, classification, and correlation will also be presented, along with relevant applications using graphical tools.

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

• Identify questions that can be answered with statistical data analysis.
• Evaluate the appropriateness of various data analysis techniques in response to these questions.
• Report basic descriptive statistics, including graphical representations.
• Conduct basic statistical analyses, including univariate, bivariate, and multivariate statistics.
• Use basic functions of data analytics software.
• Read and present statistical results.
• Develop their own research questions and select appropriate measures and analytical procedures.
• Recognize and apply the basic concepts of descriptive and inferential statistics.
• Know the main applications used for data analysis and the provision of business intelligence (BI).
• Understand and use business intelligence software.
• Visualize information in different ways using business intelligence software (bar, column, clustered, stacked, donut, scatter, bubble, waterfall, treemap, etc.).
• Create user-friendly and readable reports using business intelligence software.
• Understand the basic principles of knowledge discovery.

Bibliography

• Fiona Broufhton Pinpkin, Medical Statistics Made Easy, Churchill Livingstone, 1986
• D. Trichopoulos, A. Tzonou, K. Koutsogiannis, “Biostatistics,” Parisianos Publications, 2001
• P. Galanis, “Research Methodology in Health Sciences,” Kritiki Publications, 2017
• P. Galanis, “Data Analysis Methodology in Health Sciences,” P.X. Paschalidis, 2015
• Jiawei Han, Micheline Kamber, Data Mining Concepts and Techniques, Morgan Kaufmann Publishers, 2001
• Leo Breiman, Jerome Freidman, Richard Olshen, Charles Stone, Classification and Regression trees, Chapman & Hall/CRC, 1998
• Margaret H. Dunham, “Data Mining – Introductory and Advanced Topics in Knowledge and Data Extraction,” New Technologies Publications, 2004
• Guide to Power BI: https://docs.microsoft.com/en-us/power-bi
• ΚΝΙΜΕ: https://www.knime.com/
• Zoulias E., Asvestas, P. A., Matsopoulos, G. K., & Tseleni-Balafouta, S. (2011). “A decision support system for assisting fine-needle aspiration diagnosis of thyroid malignancy.”, Analytical and quantitative cytology and histology/the International Academy of Cytology and American Society of Cytology, 33(4), 215-222.

Course Code: ΜΥ1.4

Course Title: Communication in Healthcare

Weekly Teaching Hours: 3

Credits: 7

The course deals with effective communication between the two parties involved (the healthcare professional and the patient), which is vital for accurate diagnosis, appropriate medication, ensuring patient compliance, and maintaining the patient’s quality of life. The course provides the necessary theoretical knowledge, while also emphasizing practical examples so that healthcare professionals and scientists can effectively cope with the communication challenges they face on a daily basis.

More specifically, upon completion of the course, students will:

• Be able to appropriately manage communication with individuals experiencing high emotional stress.
• Know the basic principles of communication.
• Acquire the ability to adopt a person-centered approach to addressing the patient’s issues and problems.
• Have developed and be able to apply the technique of consultation.
• Develop communication skills (style and content) that facilitate a patient-centered approach.
• Be able to apply techniques such as attentive listening, empathy, and the use of open-ended questions, among others.
• Know the stages of consultation.
• Understand and perceive the patient’s experience as unique.
• Promote an equitable relationship between healthcare professional and patient.

Bibliography

• “Effective communication for health professionals”, 2^nd edition, Elsevier, 2020
• By Gjyn O’Toole, MEdStud, BA, GradDipTEFL, DipOT, “Communication: Core Interpersonal Skills for Healthcare Professionals”, 4th Edition, Elsevier, 2020
• Jonathan Silverman , Suzanne Kurtz , Juliet Draper , “Skills for communicating with patients”, Taylor & Francis Ltd, 2013
• Ruth B. Purtilo & Amy M. Haddad & Regina Doherty, “Health Professional and Patient Interaction”, 8th Edition, 2014
• Rudolph Verderber, “The Art of Communication,” ELLIN Publications, 1998
• Savas Trichas, “The Power of Communication,” IWRITE Publications, 2019
• Linda Adams, “The Secrets of Effective Communication,” Martis Publications, 2018
• Kadda, O. (2018). Health professional working growth and patient safety. Health & Research Journal, 4(3), 117–118. https://doi.org/10.12681/healthresj.19289
• A Tsounis, P Sarafis, “Doctor-patient communication as a determining parameter in the provision of health care”, Archives of Hellenic Medicine, 2014, vol. 31, no. 5, pp. 534-540, 2014
• Melissa Piasecki, “The Art of Communication in Healthcare: A Practical Guide,” Papasotiriou Publications, 2008
• Effie Simou, “Doctor-Patient Communication: A Practical Guide to Communication Skills,” Institute of Communication and Health Literacy, 2017
• Effie Simou, “Deciding Together: Patient Participation in Health Decision-Making,” 2017