Health data classifications and exchange formats
| Title | Ταξινομήσεις δεδομένων υγείας και μορφότυποι ανταλλαγής / Health data classifications and exchange formats |
| Code | MD17 |
| Faculty | Health Sciences |
| School | Medicine |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Panagiotis Bamidis |
| Common | No |
| Status | Active |
| Course ID | 600024785 |
Programme of Study: Joint PPS "Managing Digital Transformation in the Health Sector" (2024-today)
Registered students: 162
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Compulsory Course | 2 | 1 | 6 |
| Academic Year | 2024 – 2025 |
| Class Period | Spring |
| Faculty Instructors | |
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600256803
|
Course Type 2021
General Foundation
Mode of Delivery
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600256803
- eLearning (Moodle): https://elearning.digihealthedu.eu/course/view.php?id=24
Language of Instruction
- English (Instruction, Examination)
Learning Outcomes
Analyzing the underlying needs of a healthcare technology problem and suggesting standards to address gaps and provide solutions in healthcare technology applications. Explaining the difference between standards, guidelines, and protocols. Exploring ways to develop or utilize technological systems and/or methodologies to apply standards. Understanding the concepts of data classification and its significance in healthcare. Evaluating different data classifications, terminologies, and standards. Proficiency in using widely adopted health data classifications. Explaining the principles of standardized data exchange formats. Identifying the challenges and opportunities associated with interoperability, reuse, and exchange of health data. Analyzing real-world scenarios to determine data classifications and exchange formats. Applying best practices in data classification and exchange to enhance data management and analysis, as well as business development.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work in teams
- Work in an international context
- Work in an interdisciplinary team
- Respect natural environment
- Advance free, creative and causative thinking
Course Content (Syllabus)
1: Introduction to digital health trends and standardization: Data coding, definitions, and classifications. Terminologies and vocabularies.
2: Common data classifications: International Classification of Diseases (ICD).
Systematized Nomenclature of Medicine (SNOMED CT). Logical Observation Identifiers Names and Codes (LOINC). International Classification of Health Interventions (ICHI). International Classification of Functioning, Disability, and Health (ICF). Anatomical Therapeutic Chemical Classification System (ATC) and Defined Daily Dose (DDD).
3: Data exchange formats: Health Level Seven (HL7). Fast Healthcare Interoperability Resources (FHIR). Clinical Document Architecture (CDA).
4: Data standards and reuse: Data interoperability challenges. Primary and secondary uses of data. Factors, constraints, and challenges.
5: Case studies and applications.
Educational Material Types
- Notes
- Slide presentations
- Video lectures
- Podcast
- Multimedia
- Interactive excersises
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | 1.6 | ✓ | ||
| Reading Assigment | 21 | 0.8 | ✓ | ||
| Project | 20 | 0.8 | ✓ | ||
| Written assigments | 70 | 2.8 | ✓ | ||
| Total | 150 | 6 |
Student Assessment
Student Assessment methods
- Written Assignment (Formative, Summative)
- Report (Formative, Summative)
Bibliography
Additional bibliography for study
Kinnunen, U et al. (2021-08-30) User GuideThe Finnish Care Classification System FinCC 4.0_v1.1.
Mykkänen, M. et al. Using standardized nursing data for knowledge generation - Ward level analysis of point of
care nursing documentation. Int J Med Inform 2022 Nov;167:104879.
Törnvall E, Jansson I. Preliminary evidence for the usefulness of standardized nursing terminologies in different
fields of application: A Literature Review. Int J Nurs Knowl. 2017 Apr;28(2):109-119.
WHO 2022. Sharing and reuse of health-related data for research purposes: WHO policy and implementation
guidance.
C. Safran 2017. Update on Data Reuse in Health Care. Yearb Med Inform. 2017 Aug; 26(1): 24–27.Published
online 2017 Sep 11. doi: 10.15265/IY-2017-013 PMCID: PMC6239227PMID: 29063535
Holub et al. 2018. Enhancing Reuse of Data and Biological Material in Medical Research:From FAIR to FAIR-
Health BIOPRESERVATION AND BIOBANKING. Volume 16, Number 2, 2018. Mary Ann Liebert, Inc.
Last Update
12-07-2024
