Artificial intelligence in healthcare: where AI is used, what the evidence shows, regulation of AI medical devices, bias and safety risks, and governance requirements.
Digital health explained: telehealth, EHRs, mHealth, wearables, remote monitoring and health data — what the technologies do and what evidence supports them.
How AI supports medical diagnosis and clinical decision-making: imaging, pathology, ECG, risk prediction, validation requirements, and clinician oversight.
Remote patient monitoring explained: devices, clinical uses in heart failure, diabetes and hypertension, evidence, workflow design, reimbursement and risks.
How health systems share patient data: interoperability levels, HL7 FHIR, SNOMED CT, LOINC, DICOM, health information exchange, privacy law and barriers.