Abstract

The rapid evolution of technology has positioned Artificial intelligence (AI) at the forefront of innovation in various sectors, notably in healthcare. This review explores AI's current and future roles in primary healthcare, highlighting its transformative impact and the challenges that accompany its integration.
AI currently aids healthcare practitioners in a myriad of ways. Diagnostic procedures have been revolutionized by AI algorithms capable of analysing medical images with precision. Administrative tasks, such as patient scheduling and record-keeping, have become more efficient due to AI's streamlining capabilities. Predictive analytics, a critical AI feature, plays a pivotal role in pre-empting health complications by analysing extensive patient data. Additionally, AI has significantly advanced telemedicine, offering wider access to healthcare, a crucial development amidst global health emergencies.
Moreover, AI contributes substantially to personalized medicine, analysing large-scale data, including genetic information, to tailor treatment plans. Its integration into Electronic Health Records (EHR) systems enhances data processing, improving treatment outcomes and operational efficiency.
Despite these advancements, challenges persist. Data privacy concerns, potential erosion of the human element in patient care, difficulties integrating AI with existing systems, and the risk of over-reliance on technology are pressing issues that require careful management. Ethical considerations, including algorithmic transparency and accountability, also pose significant challenges.
Looking ahead, AI's trajectory in primary healthcare is geared towards further advancements, with an emphasis on ethical implications and maintaining a balance between technology and human-centred care. The potential of AI to enhance areas like chronic disease management and mental health care is vast. As we approach an AI-driven era in primary healthcare, this review underscores the importance of merging technological innovation with empathetic patient care.

Key words: Artificial Intelligence, family physician, primary care