Kontakt.io has introduced Supply Chain Agent, an innovative AI solution that leverages real-time demand data to manage medical equipment across hospital care settings proactively. Hospitals often struggle with equipment management, which remains largely manual and fragmented. While supply chain teams may know what equipment exists and its location, clinicians frequently lack this information, leading to inefficiencies. Research indicates that nurses spend between 21 and 60 minutes per shift searching for equipment, a task that could free up $14 billion annually if redirected to patient care, according to HIMSS.
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Even when equipment is tracked, distribution challenges persist. Assets are often unevenly spread across units, wings, or entire facilities, resulting in unnecessary purchases or rentals. Supply Chain Agent aims to address these inefficiencies by predicting equipment needs before they arise and automatically coordinating the necessary actions to ensure availability.
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The solution is part of Kontakt.io’s Intelligent Orchestration Platform, which helps hospitals streamline operations in the face of ongoing supply chain pressures. The platform collects and analyzes live hospital data, including patient information, department activity, census numbers, and acuity levels, to forecast real-time care requirements.
Supply Chain Agent takes this predictive data a step further by turning insights into actionable steps. Rather than simply showing where equipment is located, the system determines where it is needed and orchestrates the workflow to move it, scheduling tasks and prioritizing actions in real time to ensure critical assets are available at the bedside when needed.
Rom Eizenberg, Chief Revenue Officer at Kontakt.io, explained that traditional supply and demand management in hospitals is reactive, costly, and inefficient. He emphasized that Supply Chain Agent combines electronic health record signals with location data to anticipate demand, direct the next best action, and make sure equipment reaches care teams before anyone has to spend time searching for it. This proactive approach is designed to improve efficiency, reduce unnecessary costs, and enhance patient care.
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