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K2SP 3555 - Rethinking Data Governance for Health System Innovation

K2SP 3555 · Semestre d'automne 2026-2027

Langue d'enseignement
English
Type d'enseignement
Cours magistral
Nombre d'heures
24
Crédits
4

Informations

Descriptif

This course aims to shed light on the challenges and opportunities of data-driven innovation in health systems. It will introduce key concepts , address recent trends , the evolving health data ecosystem in the context of new technological developments and data sources, the challenges for regulation, and what makes the governance of health data a specific case. The course will examine the underlying issues inhibiting greater access to and sharing of health data. Using concrete examples and case studies, the course will discuss policy, technological and organisational issues; trends in regulatory innovation with a particular focus on privacy , cybersecurity and data protection ; the challenges emerging from the use of artificial intelligence in health and recent developments such as the European Health Data Space ; the growing role of data intermediaries; data altruism , data ethics and data sovereignty as well as user-centric approaches for greater control and ownership over personal health data. Through lectures, group work, discussion and debate, including with invited experts, students will sharpen their knowledge of key challenges in data governance and the policy trade-offs that need to be tackled both at the international and national levels to maximise the benefits of data, unlock its value and drive health system innovation.

Pré-requis

Students should have a good written and oral knowledge of the English language, sufficient for reading and understanding complex texts.

Format pédagogique

Lectures will be structured as follows: • Setting the scene and introduction- review of key notions • Remote or in-person intervention of an external expert, followed by discussion • Presentations by students and discussion of a relevant article/ case study/webinar or teamwork.

Mode de validation

Team Presentation 30%

Group presentation on a course-related topic, demonstrating the ability to critically analyse and communicate key data governance, policy, and ethical issues.

Individual Class Participation 10%

Active engagement in class discussions.

Mid-Term Multiple-Choice Examination (including case study analysis) 30%

Assessment of core concepts, frameworks, and applied reasoning through multiple-choice questions and a case-based scenario drawing on course materials.

Final Essay (4,000 words / approximately 8 pages) 30%

Individual analytical essay on a course-related topic, demonstrating critical engagement with the literature, governance frameworks, and real-world applications.

Charge de travail

Each session requires students to complete assigned readings (about 1-2 articles per session) , and come prepared to discuss case studies.

Lectures

Lectures principales 5

  1. Health Data Governance Summit Pre-reads 1 and 2: The health data landscape and Health Data as a Global Public Good (2021) preread-1-who-data-governance-summit_health-data-landscape.pdf and preread-2-who-data-governance-summit_health-data-as-a-public-good.pdf

  2. Selected sections from: OECD (2019) Health in the 21st Century : Putting Data to Work for Stronger Health Systems, OECD Health Policy Studies, OECD Editions, Paris Full Report: Health in the 21st Century | OECD

  3. Selected sections from: OECD (2026), Scaling Artificial Intelligence in Health, OECD Publishing, Paris Full Report: Scaling Artificial Intelligence in Health | OECD

  4. Vayena E, Dzenowagis J, Brownstein JS, Sheikh A. Policy implications of big data in the health sector. Bull World Health Organ. 2018 Jan 1;96(1):66-68. Bulletin of the World Health Organization

  5. World Bank, (2023). Data Governance in Health: An Implementation Guide, World Bank Group. United States of America. https://coilink.org/20.500.12592/pmzs3h

Lectures secondaires 6

  1. Ballantyne A. How should we think about clinical data ownership? J Med Ethics. 2020 May;46(5):289-294. doi: 10.1136/medethics-2018-105340. Epub 2020 Jan 7. PMID: 31911499; PMCID: PMC7279183. How should we think about clinical data ownership?

  2. Chapter 11 Davies, T., Walker, S., Rubinstein, M., & Perini, F. (Eds.). (2019). The State of Open Data: Histories and Horizons. Cape Town and Ottawa: African Minds and International Development Research Centre. The State of Open Data: Histories and Horizons

  3. Ibrahim H, Liu X, Zariffa N et al. Health data poverty: an assailable barrier to equitable digital health care The Lancet Digital Health, 2021; 3, e260-e265 Health data poverty: an assailable barrier to equitable digital health care - The Lancet Digital Health

  4. Minssen T, Solaiman B, Köttering L, Wested J, Malik A. Governing AI in the European Union: emerging infrastructures and regulatory ecosystems in health. In: Solaiman B, Cohen IG, editors. Research Handbook on Health, AI and the Law. Cheltenham, UK: Edward Elgar Publishing Ltd; 2024 Jul 16. Chapter 18. PMID: 40245215. Bookshelf_NBK613197.pdf

  5. Selected sections from: Artificial intelligence is reshaping health systems: state of readiness across the European Union. (2026) Copenhagen: WHO Regional Office for Europe Artificial intelligence is reshaping health systems: state of readiness across the European Union

  6. Tazare J, Henderson AD, Morley J, Blake HA, McDonald HI, Williamson EJ, Strongman H. (2024) NHS national data opt-outs: trends and potential consequences for health data research. BJGP Open. 2024 Oct 29;8(3):BJGPO.2024.0020. doi: 10.3399/BJGPO.2024.0020. PMID: 38438199; PMCID: PMC11523503 https://pmc.ncbi.nlm.nih.gov/articles/PMC11523503/pdf/bjgpopen-8-0020.pdf

Unités pédagogiques

N° d'UPType d'UP Unités pédagogiquesEnseignants Nombre d'heuresCrédits
15847Cours magistral Rethinking Data Governance for Health System Innovation Elettra RONCHI, Madeline CUILLERIER244
15984Teaching assistant Rethinking Data Governance for Health System Innovation Madeline CUILLERIER——

Enseignants

  • Elettra RONCHI
  • Madeline CUILLERIER

Dans les maquettes

Contacts et ressources

Contact pédagogique
SCHITTONE Delphine