TRIMEDX announced expanded clinical supply chain capabilities within its AI-native TRIMEDX-AIQ™ platform, introducing automated parts ordering, purchase order automation and predictive failure forecasting to help health systems proactively orchestrate procurement, anticipate equipment failures before disruption occurs and minimize unplanned downtime. Powered by one of the healthcare technology management industry’s most comprehensive datasets-more than 6.1 million device records, 25+ years of longitudinal insight and visibility into 90–95% of active U.S. medical equipment-the platform’s patent-pending Predictive Work System identifies early degradation patterns so clinical engineering teams can plan service windows, reduce workflow disruption and maintain patient access. The expansion directly connects predictive failures, preventative maintenance forecasting and routine repairs to automated supply chain workflows, enabling organizations to source the right part, at the right time, from the right vendor while improving repair versus replacement decisions.
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“Our upgraded, multivendor supply chain capabilities use advanced AI to identify the exact component needed for a predicted failure, select the right supplier, and secure the fastest procurement path-often before a device ever goes offline,” says TRIMEDX CEO Neil de Crescenzo. “By leveraging our long-standing relationships with leading OEMs and third-party suppliers, we’re able to deliver accelerated access to parts, and expanded sourcing options that many organizations simply can’t achieve on their own.” Together, the enhancements shorten turnaround times, reduce secondary failures and scale measurable operational and financial impact through AI-native clinical asset intelligence.
