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Artificial intelligence (AI) has the potential to significantly improve medication adherence, leading to better health outcomes and lower healthcare costs. AI can create personalized medication plans, send notifications and reminders, identify obstacles to adherence, and track prescription usage. AI-powered solutions can help patients take their medications more consistently, reducing the risk of missed doses, taking medication when it shouldn't be taken, or stopping treatment early. AI can also provide personalized care, early intervention, patient empowerment, data-driven decision-making, reduced transmission rates, and accessible healthcare. AI smartphone applications have been used to monitor and promote medication adherence, while reminder programs and intelligent patient assistance have been implemented to encourage adherence. Despite the potential benefits, there are challenges and ethical considerations to consider, such as algorithm bias, data privacy, and the need for ethical AI development and implementation. Ensuring that AI tools are available and affordable to all patients is crucial to prevent healthcare disparities and ensure the availability of AI tools to all patients.
Medication adherence, Artificial intelligence, Health care, Drug resistance, Machine learning, Patient empowerment, Self-management.
Medication adherence, Artificial intelligence, Health care, Drug resistance, Machine learning, Patient empowerment, Self-management.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |