Healthcare organisations grappling with the tension between budget discipline and patient safety are turning to artificial intelligence not just for automation but for decision support. A recent webinar hosted by Healthcare Digital with Amazon Business featured IBM supply chain experts Kaitlyn Roche and Joe Shobe, who detailed how AI is moving from descriptive reporting to prescriptive action in procurement, aiming to cut waste without sacrificing clinical quality.
The webinar, covering AI for Healthcare applications in sourcing and supply chain operations, addressed one of the most entrenched financial challenges in large provider networks: standardising supplies across fragmented systems.
Fragmented data undermines procurement efficiency
When health systems grow through acquisition, they often inherit incompatible technologies and data that make spending opaque. This problem is especially acute with Physician Preference Items (PPIs), the clinician-recommended products that drive significant variation and expense. Joe Shobe argued that approaching these items purely from a cost perspective backfires.
"When you start to talk about cost reduction, it's the wrong conversation," he said. "You need to have the conversation about 'How do I improve outcomes while also looking for the optimal procedure.'"
Shobe pointed to a deeper disconnect: clinical systems typically label the same item differently than supply chain systems, breaking the data link needed to tie what is used during a procedure to what was purchased. "AI can help you understand the breaks, where it can't link data, and allow you to build the right model so that you're getting the reporting and information you need," he said.
Moving from descriptive to prescriptive AI
Kaitlyn Roche explained that older machine learning tools are giving way to agentic AI that doesn't just describe what's happening but recommends and executes actions. "The shift with agentic AI from previous machine learning models is moving from the descriptive to the prescriptive," she said. "Not just looking at what's currently happening, being able to describe that better, but actually making recommendations and acting on that information in a much quicker and much more informed way."
This evolution changes procurement's remit from a back-office cost function to a strategic lever. Learning pathways such as AI for Procurement Specialists can help professionals develop the skills to evaluate AI-driven vendor insights and integrate prescriptive models into daily sourcing decisions.
Culture change precedes technology
Both experts stressed that software alone won't deliver results. Roche told attendees that organisations must modernise their operating model before buying new tools. "Start with your organisation and culture. This isn't a technology implementation. It really is a full operating model shift," she said.
Clinical teams should lead standardisation efforts, the panellists agreed. When doctors see clear data linking product choices to patient outcomes, procurement moves from a mandate imposed by finance to a shared effort that clinicians support.
Amazon Business backs guided buying
The webinar, held in association with Amazon Business, outlined how platforms with guided buying rules can reinforce that shift. Administrators can set central purchasing guardrails, flag preferred supplies, or block purchases that fail an organisation's ESG criteria. Supplier sustainability ratings, such as EcoVadis scores, appear directly on product listings when procurement teams make purchases.
Why this matters for healthcare professionals
Financial sustainability and patient safety don't have to be competing goals. Healthcare leaders can start by unifying their clinical and supply chain data before layering on AI that maps discrepancies and recommends standardisation. The most practical next step is to reframe procurement conversations around clinical outcomes rather than budget cuts - and to give clinicians the data that makes their participation genuine, not mandated.
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