CareHub Intelligence is the platform's set of intelligence capabilities. To clinicians and patients, it is always named exactly that — CareHub Intelligence. The product never uses the term "AI." This is not cosmetic: the name sets the expectation. What you are working with is a clerk that assembles the record, not a voice that weighs in.
There are three things it does for you.
Organizing evidenceCareHub Intelligence pulls together the scattered pieces of a case — intake answers, screener results, and the moments that matter from a transcript — into one assembled view.First, it organizes evidence. Take the synthetic teaching case, Sofia Reyes — a paramedic who witnessed a fatal multi-vehicle collision on the job. Her intake answers, her screener scores, and the lines from her session where she described the scene are scattered across the record. CareHub Intelligence gathers them so you see the picture at once.
Second, it cites the underlying data points. Every assembled statement traces back to its source — the specific intake answer, the screener, the flagged transcript line — so nothing floats free of evidence.
Third, it drafts non-opinion documentation: session-note scaffolding, summaries, care-plan structure, and report sections. These are first passes you edit and own — never conclusions, and never an opinion about Sofia's injury.
Always write and say "CareHub Intelligence." Never "AI," "the AI," or any cousin of the term, in the interface or out loud with a patient. The name is the promise: it assembles the record; it does not render judgment. Hold the language and you hold the boundary.
The clerk metaphor is worth keeping close. A good clerk is fast, tireless, and exact about where every fact came from — and a good clinician still reads the file before signing it. That division of labor is the whole design.
Which best describes what CareHub Intelligence does for a clinician?