Transforming Primary Care with AI, Data Analysis, and Computer Science in Electronic Health Records

Healthcare modernization occurs through improved patient outcomes because primary careelectronic health records integrate Artificial Intelligence data analysis with computer science. Whenautomated systems collaborate with treatment optimization through superior diagnostics and streamlinedadministrative tasks physicians gain better efficiency levels. This study demonstrates how predictiveanalytics as well as big data management systems strengthened by algorithmic choice procedures makeprimary care functions more efficient. Research published in the latest scientific journal focused on AIimplementations within Dean's Electronic health records should incorporate multiple essential steps forform verifications and dynamic analytical systems. The research shows that physician diseases detectionbecomes more effective with AI technology since the system identifies conditions earlier combined withupgraded clinical support features and personalized care planning for superior patient medical outcomes.Successful wide-scale AI implementation faces major hurdles since privacy concerns against dataprotection join forces with discrimination through AI programming in addition to difficulties with systemimplementation. Primary care operations will undergo transformation according to the assessment throughdeep learning algorithms that work alongside real-time information processing systems for healthcareissue prevention. This paper investigates the responsible implementation of AI in healthcare through astudy of ethical requirements together with regulatory mandates and prospective research approaches.Electronic health record systems used in primary care operations will gain major advantages fromcombined applications of artificial intelligence data analytics and computer science methods. Medicalprofessionals can attain superior patient results by integrating contemporary digital solutions with currentchallenge solutions to make diagnosis more precise and efficient and deliver personalized data-driven care.