How a chief product officer thinks about AI implementation in healthcare supply chains

Archie Mayani, the Chief Product Officer at GHX, a leading global supply chain organization, is at the forefront of integrating technology into healthcare. With over two decades of experience in clinical and supply chain health technologies from companies like Change Healthcare and United Health Group, Mayani is dedicated to enhancing the procurement of essential patient supplies, such as implants and IV fluids. At GHX, the focus is on harnessing AI to predict supply chain disruptions, prioritize critical issues, and suggest alternatives. This innovation aims to empower hospitals to deliver effective patient care consistently. In a recent interview, Mayani shed light on the unique challenges healthcare faces compared to other sectors when implementing AI. "In Silicon Valley, the mantra is to fail fast and move forward," Mayani explained. "But in healthcare, the stakes are much higher. A misstep in supply delivery could jeopardize patient safety, unlike in less critical environments." Mayani emphasizes that the primary objective of AI in healthcare supply chain management is to enhance patient safety and ensure that technologies are applied responsibly. He describes supply chain management as an 'invisible operating system' that underpins patient care. GHX's mission is to ensure that supplies arrive at the right time, thus improving the quality and affordability of healthcare. With a history of leveraging AI and machine learning over the past 15 years, GHX has focused on increasing visibility around supply disruptions, particularly highlighted during the pandemic. One of the key challenges they addressed was anticipating backorders, regardless of their cause—be it geopolitical strife or natural disasters. Mayani envisions an intelligent system capable of recommending nearby substitutes when disruptions occur. GHX employs an agile development approach, actively seeking feedback from customers. This customer-led innovation led to the realization that not all disruptions are equal—understanding their clinical significance is crucial. To address this, they developed a clinical sensitivity and confidence scoring system to assess the relevance of disruptions for specific users. Looking ahead, Mayani sees the future of AI in healthcare supply chain management as one that increasingly automates workflows while ensuring human oversight. As confidence grows, the aim is to allow AI agents to manage processes independently. An exciting development at GHX is the 'perfect order dashboard,' which integrates data insights to provide customers with a comprehensive view of their supply chain performance. The dashboard not only visualizes supply statuses but also allows for immediate actions, such as scheduling reviews with suppliers based on data analytics—dramatically reducing the time taken from hours to mere minutes. For those aspiring to lead in healthcare technology, Mayani stresses the importance of prioritization. In a field where urgency is constant, the ability to discern what truly matters is vital. He advises focusing on high-value initiatives that enhance patient care, while also ensuring that innovations are backed by solid data governance and a commitment to security and privacy.