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Original Question

EHRs are a major source of big data that I may employ in my advanced practice nursing (APN) career. Demographics, medical history, diagnoses, prescriptions, treatment plans, vaccination records, test findings, and radiological images are stored in EHRs (Chen et al., 2020). Healthcare providers update and share this data to improve patient care and health outcomes. A variety of patient care information is available in EHRs. This includes patient demographics, history of chronic diseases, medication records, diagnostics, and treatment and progress notes. The first way EHR data impacts patient care is by enhancing clinical decision-making. EHR data can help advanced practice nurses (APNs) make clinical choices in real-time. Early intervention is possible using predictive analytics to identify people at risk for problems (Phillips, 2021). Secondly, EHRs improve healthcare provider communication, maintaining continuity. Accessing shared patient information lets APNs work with doctors, specialists, and others. Integrated EHRs allow an APN to work with an endocrinologist and dietician to optimize glycemic control for a diabetic patient. Thirdly, APNs can customize patient care by reviewing EHR data. Treatment strategies based on data improve patient outcomes. EHR machine learning algorithms can assist APNs in identifying patients at risk for hospital readmissions, enabling pre-emptive interventions including improved follow-up treatment and patient education (Kutney-Lee et al., 2021). Patient data integrity, security, and ethical usage depend on APNs as data stewards. Among

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