This module covers:

• The steps to developing a data management plan
• Types and sources of health data: structured vs. unstructured, clinical, imaging, wearable-generated, patient-reported outcomes (PROs)
• Electronic Health Records (EHRs) and interoperability standards (HL7 FHIR, SNOMED CT, LOINC); disease registries; patient-generated data; administrative or claims data; health surveys; and social media data
• FAIR data principles (Findable, Accessible, Interoperable, Reusable)
• Data privacy and security frameworks: GDPR, HIPAA, data pseudonymisation, and anonymisation and the secondary use of data
• Barriers to implementation: cost, regulation, resistance to change, existing organisational routines
• Addressing bias, missing data, reliability and data quality in AI applications
• Digital innovations in global health issues i.e. pandemic response
• Data integration and secure sharing in cross-border collaborations, along with patient consent models for data sharing
• Data governance, policies, roles, and responsibilities involved in managing health data