promise of artificial intelligence extends beyond technological advancement: it can potentially change how we approach patient care and clinical decision making. But this reaches beyond a technology discussion. It hits right to the heart of how, when used effectively, AI can positively impact healthcare professionals.
AI thrives on data, and the ability to integrate and analyse data from disparate sources is fundamental to its success. High-quality, trustworthy data should enable AI to provide valuable insights to drive better clinical and operational decisions. Proper infrastructure and data management are crucial for developing and maintaining AI applications with appropriate oversight.
One of AI’s most promising emerging applications in healthcare is clinical decision-augmented support. AI has proven its ability to interpret complex medical images and lab results to help clinicians make more informed, faster decisions. AI algorithms are now being tested to help detect early signs of sepsis, facilitating timely interventions that will save lives. Predictive analytics will enhance centralised monitoring, improving alert visibility and prompt resolution for community care.