Guide patients to the right tests, improve preparation, and increase completed bookings, all powered by AI and without changing your lab’s workflow.
Faceecho helps lab partners guide users from visible facial signals to a more relevant testing pathway before formal booking begins. Through AI-guided scanning and structured intake, it improves pre-booking clarity while fitting into existing lab workflows.
Guides users toward more relevant testing pathways so bookings begin with clearer intent.
Provides structured guidance before formal booking, helping reduce confusion earlier in the journey.
Readiness checks and earlier clarity can improve preparation before the testing visit.
Narrows choices into more relevant lab-aligned options so users are less likely to get lost in broad test catalogs.
Supports different partnership models, including direct routing into a lab workflow or inclusion within the broader Faceecho pathway.
Labs are built to process samples consistently once testing begins. The bigger source of friction usually appears earlier, before collection, when users are still deciding what to book, whether it fits their concern, and how to prepare.
Faceecho is designed to improve that pre-booking stage by helping users reach the next step with clearer intent, better readiness, and more relevant routing.
A standardized screening step designed to capture visible signals in a more consistent format.
A short structured intake that adds symptoms, timing, and user-reported context.
Plain-language guidance intended to narrow relevant testing pathways and improve next-step clarity.
Supports different partnership models, including direct lab routing or inclusion within the broader Faceecho pathway.
Faceecho can support lab partners through more than one integration model, depending on where the testing handoff should occur and how the lab wants to appear in the user journey.
Faceecho supports pre-testing guidance and routes users directly into your lab’s existing booking or intake workflow.
For cases that require additional review, Faceecho can route users through a broader follow-up pathway before lab testing occurs.
Faceecho can support lab partners through more than one integration model, depending on where the testing handoff should occur and how the lab wants to appear in the user journey.
Faceecho supports early screening and test-pathway guidance. It does not diagnose or replace clinical judgment.
User information is handled with appropriate data protection and responsible-use practices.
Faceecho can support direct routing into a lab workflow or fit within a broader follow-up pathway, depending on the partnership model.
Partner labs can participate without major changes to current intake, scheduling, or testing processes.