By reducing appointment prep time, these summaries give oncologists more time with their patients. The efficiency gain matters beyond individual appointments: in oncology, where patient histories are unusually complex and staff burnout is a persistent problem, tools that reduce administrative load have an outsized impact.
Triomics is also used to automate the tedious task of submitting tumor reports to government registries, a legal mandate for cancer centers.
While generic AI agents excel at basic summaries, prominent institutions like Memorial Sloan Kettering (MSK) and Yale Cancer Center use Triomics because its models are trained specifically on oncology data, Khan explained.
Triomics most direct competition comes from AI medical scribes like Abridge and Microsoft’s Nuance — tools that use AI to listen to and document patient-doctor conversations — when it comes to summarizing patient charts.
Despite the fierce competition, Triomics is growing fast. According to Khan, the startup expanded its enterprise customer base fourfold over the past year, driving a 10-fold increase in annualized recurring revenue.
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