Every ROM measurement and pain score, pulled into one view.
Range of motion and pain tracking software extracts every ROM figure and pain-scale rating from every visit and lines them up across the file — the functional-findings layer a chronology doesn't show. Every reading is cited to its exam note, so each measurement can be traced back to the source.
Extraction by joint, movement, and side.
ROM figures hide inside narrative exam notes in a dozen formats: "flexion to 95 degrees," goniometer tables, therapy flowsheets, "ROM WNL." The AI reads every page, recognizes each measurement wherever a provider recorded it, and structures it by joint, movement, side, and date.
Pain scales, made comparable.
One provider charts a 0–10 rating, the next a faces scale, the next writes "moderate." Each rating is mapped onto one comparable scale so visits line up, and the provider's original wording stays attached. Anything too ambiguous to map is flagged for review, never silently converted.
The trend across the whole treatment course.
Readings line up chronologically per joint and movement, so the functional story becomes visible: steady improvement, a plateau after a procedure, or a reported pain level that moves against the measured gains. It's the functional capacity documentation an evaluator or adjuster otherwise re-assembles by hand.
Every reading cites its exam note.
A trend chart you can't source is a liability in deposition. Here, every point on the curve carries a page-level citation back to the note it was measured in — source-linked and legally defensible. Illegible pages are flagged and quarantined, never filled in.
See Verifiable AI CitationsFrom records dump to functional trend.
Three steps — no spreadsheet of hand-copied degrees, ever again.
Drop the whole record — clinic notes, therapy flowsheets, IME reports, scans. Every page is read, including handwriting.
ROM figures structured by joint, movement, and side; pain ratings mapped to one comparable scale. Ambiguous entries flagged.
Line up any measure across the treatment course. Every point cites its exam note; export the table with citations attached.
Who tracks ROM and pain with it.
The same functional-findings layer, read for different decisions.
Walk into the exam with every prior measurement lined up, cited, and comparable.
For IME evaluatorsThe documented functional loss — or recovery — with page citations ready for demand or defense.
For law firmsRecovery trajectory per claim without re-reading every therapy note.
For TPAsDocumented function vs. claimed limitation, side by side and sourced.
For carriersROM & pain tracking, answered.
The AI reads every exam note in the file and pulls each range-of-motion figure it finds — narrative phrasing, goniometer tables, or therapy flowsheets — then structures it by joint, movement, side, and date. A knee flexion reading and a shoulder abduction reading never get mixed, and each reading keeps a link to the exam note it came from.
Providers document pain as 0–10 ratings, faces scales, or plain narrative like "moderate" or "intermittent." The software maps each rating onto one comparable scale so visits can be lined up, while preserving the provider's original wording next to it. Entries too ambiguous to map are flagged for your review, not silently converted.
Yes. Readings for each joint and movement are lined up chronologically across every visit that measured them, so improvement, plateau, or decline is visible at a glance — for example, seven visits of steadily improving knee flexion since 4/02. You can view a single measure or the full functional picture side by side.
It assembles the documented functional findings — ROM figures, pain ratings, and the provider statements around them — into one cited view, which is the evidence base an evaluator or adjuster needs for functional capacity questions. It documents what the record says; it does not generate an FCE opinion or a disability rating.
Each extracted reading carries a page-level citation back to the exam note it was taken from. Click the citation and the source page opens with the measurement in context. If a page is illegible or the value is uncertain, the reading is flagged rather than guessed — nothing enters the trend view without a source.
Related capabilities.
ROM and pain tracking is one layer of the same cited record intelligence.
One diagnosed condition followed across every visit — worsening, stable, or improving.
See progression trackingStated work restrictions and return-to-work determinations, structured and cited.
See work restrictionsAny extracted field — including ROM and pain readings — as a sortable, filterable list.
See smart listsSee the functional trend in one of your own files.
Upload a single file and get the ROM and pain readings back, lined up and cited. Handled under our BAA; never used to train a model.