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Noncompliance - when cough and congestion medicine patient does not follow a course of treatment or take the prescribed drugs as recommended - is a major problem. If deeper involvement by patients cough and congestion medicine in better health outcomes, can AI-based capabilities be effective in personalising and contextualising care. There is growing emphasis on using machine learning and business rules engines to cough and congestion medicine nuanced interventions along the care continuum.

Through information provided by meedicine EHR systems, biosensors, watches, smartphones, conversational interfaces and other instrumentation, software can tailor recommendations by comparing patient data to other effective treatment pathways for similar cohorts. Conhestion recommendations can be provided to providers, patients, nurses, call-centre agents or care delivery coordinators.

There are also a great many administrative applications in amd. The use of AI is somewhat less potentially revolutionary in this domain as compared to patient care, but it can provide substantial efficiencies.

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