Four settings. One standard, applied the same way in each.

Medical and nursing faculties

A faculty is the only place with a long relationship with the learner — years, not a course — and the only place where progress is worth tracking as a curve rather than a result. Cohorts grow while instructor numbers stay flat, which is why practice gets rationed first.

Every student gets a structured analysis of every practice, including practice done outside the faculty. Every head of course gets the cohort picture: which criteria are being missed, by whom, and what to teach next. Candidates arrive at the exam prepared, and examiners spend their time on what only they can do.

What gets measured

The OSCE checklists your department already wrote, applied identically at every station. Communication stations, procedural sequences, and full team scenarios. Per-student progress as a curve across years rather than a score at the end of a course. Per-criterion miss rates across a cohort, so a head of course can see what to teach next rather than what went wrong last week.

What you need to run it

The rubrics you use today. Any browser. The AV you already have, or a phone on a tripod. No installed infrastructure, no LMS project, and no change to how your stations are written.

EMS and paramedic academies

A body that certifies people is a school, and it trains at a scale most faculties do not reach. Sessions run in vehicles, in the field and in classrooms rather than in a fixed room, which makes anything that depends on installed infrastructure unusable.

Trainees record their own sessions on a device they already carry and receive an analysis against the national protocol. The academy gets course-wide and cohort-wide reporting from material it never had before.

What gets measured

Adherence to the national protocol, item by item, with the sequence and the timing rather than only the outcome. Crew communication, role clarity and closed-loop confirmation. Handover to the receiving team.

What you need to run it

A device the trainee already carries. Sessions run in a vehicle, in the field, in a classroom or at a station — nothing has to be installed anywhere, and no room has to be booked.

Simulation centres

The scarce resource in a simulation centre is not rooms — it is the instructor who has to run the scenario, tag events while it happens, then lead a good analysis afterwards under time pressure. Quality falls across a long day, and no two instructors deliver the same session.

DeepBrief produces the analysis itself, so the instructor arrives at the conversation with the timeline already built and their attention free. It requires no change to the AV you already run and no integration project.

What gets measured

The full scenario on one verified timeline: speech attributed to roles, clinical actions timestamped, each protocol item scored complete, partial or omitted with a reference to the moment it happened. Instructor calibration across a long day. Whether the station itself ran as defined.

What you need to run it

The AV you already run. No integration project, no new capture hardware, no change to your scenario library.

Hospital departments

Practice in a department competes directly with clinical work, so it happens in short cases at the bedside rather than in scheduled sessions, and it is almost never reviewed afterwards. Expertise is available for minutes at a time, and residents rotate out before anyone has formed a view of them.

Short cases run where the work happens and are analyzed against the department's own protocols. Performance is tracked across a rotation instead of recalled at the end of it.

What gets measured

The department's own protocols, applied to the short cases that actually happen at the bedside rather than to scheduled sessions. Performance tracked across a rotation instead of recalled at the end of it.

What you need to run it

A microphone and a browser. Consent, recording policy and data handling for departmental use are set with each institution before anything is recorded — talk to us about how that works in your setting.

96.5%

DeepBrief agreement within one ordinal category

372

Item-level observations · 15 encounters

2

High-fidelity scenarios · blinded expert reference standard