Ce que vous devez savoir avant
Vous commencez

Débute 4 June 2026 13:58

Se termine 4 June 2026

00 Jours
00 Heures
00 Minutes
00 Secondes
course image

Informatique de santé numérique et IA

Maîtrisez l'intégration de l'IA dans les soins de santé grâce aux normes de données, à l'éthique et à des projets d'innovation pratiques dirigés par des experts de l'industrie de la Mayo Clinic et de Harvard Medical School.
via Coursera

2868 Cours


12 weeks, 10 hours a week

Amélioration optionnelle disponible

Not Specified

Progressez à votre rythme

Paid Course

Amélioration optionnelle disponible

Aperçu

The Specialization in Digital Healthcare & AI is a four-course program designed to prepare professionals to lead at the intersection of healthcare, data, and artificial intelligence. The curriculum progresses from foundational health informatics and the healthcare marketspace, through data standards and interoperability, into applied AI systems, governance, and ethics, culminating in a hands-on innovation capstone focused on safe, context-aware AI.

Learners gain a practical understanding of how healthcare data is created, standardized, exchanged, and reused; how modern AI techniques, including machine learning, NLP, generative models, and agents, are deployed responsibly; and how technical capability is translated into clinical, operational, and commercial value. Emphasis is placed on trust, explainability, regulatory alignment, and patient safety as AI becomes embedded in care delivery.

The specialization is led by internationally recognized leaders in health informatics and digital medicine, including Frank Naeymi-Rad, John Halamka, MD (President, Mayo Clinic Platform), Charles Safran, MD (Harvard Medical School, Emeritus), Evan Sholle, and Curtis Cole. Graduates are prepared to design, evaluate, govern, and scale AI-enabled healthcare solutions, positioned to deliver value in a healthcare landscape evolving at exponential speed.

Programme

  • Cours 1 : Informatique de la santé fondamentale et espace de marché
  • Cours 2 : Gestion des données de santé et interfaces
  • Cours 3 : Intégration de l'IA dans les données des patients en santé
  • Cours 4 : Projet Capstone en informatique de la santé et innovation

Enseigné par

Frank Naeymi-Rad


Matières

Computer Science