This module introduces how health information is shared and protected through the "Shared Library" model. Each hospital keeps its own library of records (the EHR), and a national exchange lets these libraries lend to one another, with the patient's consent. Patients also have their own bookshelf (the PHR), such as Taiwan's My Health Bank. Professor Wen will walk through the main hospital information systems, the idea of "meaningful use," how EMR, EHR, and PHR differ in scope, and the security and privacy rules (HIPAA and GDPR) that act as the library's locks and keys. By the end of this module, learners will be able to describe how health records move between hospitals and patients, and why protecting them matters.

This module explores the foundations of smart healthcare, including big data and its five V’s, data types and quality, machine learning and deep learning, data science, and precision medicine. Together, these concepts help learners understand what health data are, how reliable they are, and which tools can turn them into better decisions for patients.

This module explores the data-to-decision workflow of personalized healthcare, including data collection, predictive models, risk calculators, AI-assisted diagnosis, and precision health. Together, these concepts help learners understand how big data and AI turn individual information into tailored guidance for prevention, treatment, research, and policy decisions.

This module explores the key building blocks of a national electronic medical record system, including single-payer health insurance data, health smart cards, digital signatures, record exchange centers, and shared medication records. Together, these concepts help learners understand how securely connected health information supports patient safety, public health surveillance, and faster emergency care.

This module explores real-world health data, including insurance claims, hospital clinical records, consent and de-identification, different data types, and collaborative research networks that share methods rather than raw data. Together, these concepts help learners understand how everyday care records can be prepared and responsibly shared to generate evidence that guides patient care.