Use cases
FOAM Cortex for every emergency medicine workflow.
Source-backed clinical intelligence for the clinicians, teams, and institutions that keep emergency care moving. Start with a use case, then see how FOAM Cortex turns urgent clinical questions into structured answers with transparent references.
For NPs and PAs
Clinical support for APPs
For NPs and PAs working the ED: faster source-backed answers, clearer teaching points, and enough context to talk through the plan with the team.
For residency leaders
Clinical teaching for residency programs
Turn clinical questions into source-backed teaching moments for conference prep, bedside teaching, shift debriefs, and asynchronous learning.
For group leaders
Clinical support for EM staffing groups
Help physicians, APPs, new hires, and rotating clinicians work from the same source-backed clinical context without flattening local practice.
For rural EDs and locums clinicians
Clinical support for rural and locums-staffed ERs
Help rural, critical-access, and locums-heavy EDs find source-backed context for transfers, stabilization, procedures, and limited-resource decisions.
For bedside clinicians
Procedure and POCUS support for ED clinicians
Find practical guidance on setup, positioning, pitfalls, complications, and ultrasound pearls while keeping the original references visible.
For educators and CME teams
Teaching support for clinical educators and CME teams
Package recurring ED questions into teaching pearls, source lists, and follow-up learning that can survive beyond one shift.
Built around clinical context
One answer engine. Different emergency medicine jobs to be done.
Emergency medicine teams do not all search for information the same way. A resident looking for a teaching framework, an APP moving through a high-throughput shift, and a group leader standardizing local resources all need different workflows — but they share the same requirement: fast answers that show their sources.
FOAM Cortex organizes trusted FOAMed and clinical education content into a practical clinical support layer for emergency care. These use-case pages show how the same source-backed answer engine can support different roles without hiding citations, flattening clinical nuance, or pretending that AI replaces professional judgment.