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Use of data in medicine

2024/2025
Programme:
Medical Physics, Second Cycle
Year:
1., 2. year
Semester:
second
Kind:
optional
ECTS:
3
Lecturer (contact person):
Hours per week – 2. semester:
Lectures
1
Seminar
0
Tutorial
1
Lab
0
Prerequisites

Regular enrollment.

Content (Syllabus outline)

Basic propoerties of data management for medical data

Data layouts for use in quantitative predictive models
Planning of data collection, storage, protetcion and analysis
Principles of secure access and data transfer (SSL, CA)
Common standards of encrypting, decrypting and processing of encrypted data
Ethical and legal aspects of use of data in medicine
Application of FAIR principles in medical data
Common standards of storage, coding and data transfer such as DICOM, openEHR, FHIR.

Readings
  • Thomas J., McNabb S. (2019) Principles and Ethics of Collecting and Managing Health Data. In: Macfarlane S., AbouZahr C. (eds) The Palgrave Handbook of Global Health Data Methods for Policy and Practice. Palgrave Macmillan, London.
  • European Commission. Study on Big Data in public health, telemedine and healthcare. 2016.
  • DICOM standard, https://www.dicomstandard.org/
  • Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data 3, 160018 (2016).
Objectives and competences

The students understand legal, ethical and technological aspects of collection, sharing and analysis of medical data.

Course specific competences:

Basic principles of use of data in medicine. Familiarity with standards of storage, file formats and exchange of medical data. Familiarity with software that implements basic principles and components related to ethical and legal aspects of data management.

Intended learning outcomes

Knowledge and understanding

Ethical, legal and technological aspects of data handling. Common standards of storage and exchange of medical data. Methods for safe storage and data access. Principles of data organization for optimal use.

Use

Software for

organization of data using FAIR principles
storage of data in standardized formats
safe exchange of data
anonymization and pseudonimization.
Ability to prepare materials for expert and ethical boards to evaluate data management.

Reflection

Understanding conflicts between data protection and use in predictive models

Estimation of requirements and demands of safe data storage with respect to desired level of protection

Critical view of quality and security standards in the field of medical data.

Learning and teaching methods

Lectures, homeworks, consultations.

Assessment

Practical homework
5 - 10, a student passes the exam if he is graded from 6 to 10

Lecturer's references

Andrej Studen:

  • Olatunji E, Swanson W, Patel S, et al. Challenges and opportunities for implementing hypofractionated radiotherapy in Africa: lessons from the HypoAfrica clinical trial. Ecancermedicalscience. 2023;17:1508
  • Hribernik N, Huff DT, Studen A, et al. Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients: a pilot study. Eur J Nucl Med Mol Imaging. 2022;49(6):1857-1869
  • Kogan RV, de Jong BA, Renken RJ, et al. Factors affecting the harmonization of disease-related metabolic brain pattern expression quantification in [18F]FDG-PET (PETMETPAT). Alzheimers Dement (Amst). 2019;11:472-482.