Kermit PPI: Bringing transparency into PPI transactions

About Kermit

Kermit is a healthcare technology company founded by industry experts to help hospitals control costs and improve transparency around Physician Preferred Items (PPIs), such as surgical implants and medical devices. By combining deep healthcare supply chain expertise with data analytics and automation, Kermit provides hospitals with real-time visibility into implant usage, pricing, and vendor contract compliance, helping organizations identify savings opportunities and improve operational efficiency.

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The challenge

Hospitals have long struggled to manage spending on Physician Preferred Items (PPIs), such as implants, due to fragmented data, paper-based workflows and limited pricing transparency. This made it difficult to ensure contract compliance, audit invoices or identify savings opportunities. Often resulting in significant overspend.

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The solution

Kermit developed a cloud-native digital platform that gives hospitals real-time visibility into PPI usage, pricing and contracts. Built on the Mendix low-code platform, the application automates manual processes, consolidates data from multiple sources and provides powerful analytics to support informed decision-making across clinical and administrative teams. Squad Apps helped Kermit with development both on a native offline application as well as with restructuring the application to be future ready.

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Rapid development with low-code

Using Mendix, Kermit was able to build and launch the platform in just nine months with a single developer. The low-code approach enabled rapid iteration, easy integration with existing hospital systems and continuous enhancement as customer needs evolved.

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The impact

Hospitals using Kermit have achieved an average 30% reduction in PPI costs, with some organizations saving millions of dollars. Beyond cost savings, the platform reduces administrative burden, improves collaboration and helps hospitals maintain high standards of patient care while operating more efficiently.

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For a more detailed description of the case, see the Mendix website.