AI Predictive Analytics Nursing
Provide an example of how the emerging technology could be used in your future area of nursing practice. Provide support from at least one scholarly source
In my future nursing practice, an emerging technology that could be highly impactful is artificial intelligence (AI)-driven predictive analytics. AI tools can analyze vast amounts of patient data to predict potential health outcomes, such as the likelihood of readmission, risk of falls, or development of chronic conditions. For example, AI could be integrated into electronic health records (EHRs) to flag high-risk patients based on real-time data, enabling more proactive and personalized interventions. This would be particularly useful in public health and community nursing, where early identification of at-risk populations is critical for preventing disease outbreaks and managing chronic diseases.
Support from a scholarly source: According to Krittanawong et al. (2021), AI predictive models in healthcare have the potential to revolutionize patient care by improving early diagnosis…
In my future nursing practice, an emerging technology that could be highly impactful is artificial intelligence (AI)-driven predictive analytics. AI tools can analyze vast amounts of patient data to predict potential health outcomes, such as the likelihood of readmission, risk of falls, or development of chronic conditions. For example, AI could be integrated into electronic health records (EHRs) to flag high-risk patients based on real-time data, enabling more proactive and personalized interventions. This would be particularly useful in public health and community nursing, where early identification of at-risk populations is critical for preventing disease outbreaks and managing chronic diseases.
Support from a scholarly source: According to Krittanawong et al. (2021), AI predictive models in healthcare have the potential to revolutionize patient care by improving early diagnosis…
In my future nursing practice, an emerging technology that could be highly impactful is artificial intelligence (AI)-driven predictive analytics. AI tools can analyze vast amounts of patient data to predict potential health outcomes, such as the likelihood of readmission, risk of falls, or development of chronic conditions. For example, AI could be integrated into electronic health records (EHRs) to flag high-risk patients based on real-time data, enabling more proactive and personalized interventions. This would be particularly useful in public health and community nursing, where early identification of at-risk populations is critical for preventing disease outbreaks and managing chronic diseases.
