AI in Healthcare: Applications, Benefits, Challenges
Artificial intelligence in healthcare: where AI is used, what the evidence shows, regulation of AI medical devices, bias and safety risks, and governance requirements.
Health data is among the most sensitive information a person generates and among the most useful for research. The tension between those two facts runs through every question of consent, governance, secondary use and cross-border transfer.
Our coverage follows how health records are protected, how they are shared for research, and what happens when the two obligations conflict.
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.
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.