| The skinny
There are plenty of AI startups on the market promising to bolster hospitals’ finances by increasing revenue — but not San Francisco-based Midstream Health. For most health systems, the key to unlocking dollars isn’t boosting revenue — it's decreasing costs, said Venkat Mocherla, Midstream’s co-founder and president. Midstream, founded in 2023, uses AI to clean up and unify hospitals’ fragmented financial and operational data, which help leaders spot savings opportunities and make smarter purchasing decisions, he explained. For instance, the platform could help surface insights that help a hospital capture missed rebates or avoid overpaying for supplies and devices. How it works
Hospitals often pay different prices for the same items internally, struggle to collect rebates and lack visibility into off-contract purchasing — all areas Midstream targets, Mocherla said. The company’s platform is being used across health systems including Mount Sinai, CommonSpirit and Houston Methodist. Midstream primarily makes money by taking a cut of the savings it generates, which Mocherla noted aligns the startup’s incentives directly with hospitals’ financial outcomes. “We get to make money when our health system partners save money,” he declared. Customer testimony
Not only does Midstream promise its customers a strong ROI, Mocherla noted it also promises “ROE” — return on effort. This means hospitals will start to see savings as a result of their deployment within the first four months, he said. At Mount Sinai, this quickness was what ultimately drove the decision to adopt the platform, according to CFO Vincent Tammaro. He said his organization was initially introduced to Midstream via an overview of their AI-powered rebate optimization platform. “Midstream already had this platform in production generating value in other large healthcare systems where they had implemented the technology on a very rapid timeline. The feedback we received from references confirmed Midstream was able to provide ‘speed to value’ for a very practical supply chain AI use case, which was an important consideration in our decision,” Tammaro stated. — By Katie Adams |
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