El hospital predictivo: cómo usar los datos para evitar cuellos de botella operativos
Predictive analytics helps hospitals spot bottlenecks before they occur. Electronic health records, IoT bed sensors, wearable biosensors, and staffing data feed models that forecast emergency room demand, flag patient deterioration, and even predict staff turnover. Standards such as HL7 and FHIR unify these sources. Adoption depends on AI that is explainable, transparent, and well governed.
