130 “Agentic AI is poised to drive further personalisation of care” VIEWPOINT Startup companies Atropos Health, Autonomize AI, IgniteData and Raapid are proving how autonomous AI can deliver real-world impact across clinical, operational and research workflows SALLY ANN FRANK: MICROSOFT The rise of agentic AI in healthcare Two years ago, we were just starting to talk and learn about AI agents. We wondered, what can they do? What should we enable them to do? Are agents appropriate to use when patients’ health is on the line? We now know the answers to these questions as the technology continues to evolve. But instead of sharing generalities, we can answer these questions through innovative work done by startups with their enterprise customers. Atropos Health, Autonomize AI, IgniteData and Raapid are reshaping the sector and setting new standards for innovation by using AI agents. Agentic AI refers to AI systems that possess a degree of autonomy: the ability to make decisions, take actions and adapt dynamically to changing scenarios with minimal human intervention. Unlike traditional rule-based or supervised AI, agentic systems operate with greater autonomy, learning from data, context and outcomes to continuously improve their performance. In healthcare, this translates into AI tools that analyse information and then can recommend treatments, optimise workflows and even initiate interventions, all while responding to real-time changes in patient status or operational needs. The relevance of agentic AI in healthcare is profound, enabling more proactive, personalised and efficient care delivery, while addressing challenges in resource allocation, decision support and patient engagement. Atropos Health exemplifies the power of agentic AI in generating actionable clinical insights from vast datasets. The company’s platform deploys intelligent agents that autonomously query medical literature, patient records and real-world evidence to answer complex clinical questions. These agents synthesise evidence, evaluate what information is most relevant to answer each particular question, and, if existing literature does not answer the questions, allow for new evidence generation – all within the clinician’s workflow. By transforming data into actionable evidence, Atropos Health enables faster, more informed choices that improve patient outcomes and reduce administrative burden. The continuous learning capabilities of the system ensure that care decisions are based on evidence, supporting a culture of personalised precision medicine. Meanwhile, Autonomize AI helps healthcare enterprises become AI-native organisations by putting healthcare-ready agents to work across the business of care. The company’s more than 100 configurable agents and readyto-use workflows pull together clinical and administrative information from unstructured data, organise it in real time, and support teams with the context they need to make faster, more reliable decisions. Delivering value across healthcare enterprises, including three of the five largest health plans in the USA, clients begin seeing value on day one and typically reach
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