Decision support puts a recommendation in front of a clinician at the moment of a decision — a dosing alert, a risk score, a suggested diagnosis. Whether it helps depends less on the algorithm than on how it fits the work, and alert fatigue is a documented harm.
We report on what these systems change in practice, and on the difference between a tool clinicians use and one they click past.
Artificial intelligence in healthcare: where AI is used, what the evidence shows, regulation of AI medical devices, bias and safety risks, and governance requirements.
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.