# Range of Motion & Pain Tracking Software > Range of motion & pain tracking software that extracts ROM figures and pain-scale ratings from every visit, lined up across the file — every reading cited. Canonical page: https://medrecords.ai/product/pain-range-of-motion-analysis/ --- NewWe now read the actual MRI and CT imaging — not just the radiologist's 1-page report. [See how →](https://medrecords.ai/product/imaging/) [Home](https://medrecords.ai/) ›[Product](https://medrecords.ai/product/) › — Pain & Range of Motion Analysis RANGE OF MOTION & PAIN TRACKING SOFTWARE ## 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. [Test a file ](https://medrecords.ai/test-a-file/?src=product-pain-range-of-motion-analysis) [Book a demo](https://medrecords.ai/demo/) Adams, Timothy · Case #IME-4812 342 pages Right knee · Flexion IMPROVING · 7 VISITS SINCE 4/02 4/02 — 4/30 — 5/28 — 6/25 Visit — Flexion — Pain — Source Apr 02 95° 6/10 p.118 May 14 108° 4/10 p.204 Jun 25 118° 3/10 p.297 The functional-findings layer A chronology shows the visits. This shows **what the joint did between them** — every reading extracted, normalized, and cited to its exam note. ### 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. Narrative phrasing, tables, and flowsheets all read Knee flexion never gets mixed with shoulder abduction Joint — Movement — Reading — Source Right knee Flexion 108° p.204 Right knee Extension −5° p.204 Lumbar spine Forward flexion WNL p.86 Right knee Flexion ILLEGIBLE — FLAGGED p.140 As documented — Normalized — Source "Pain rated 6/10 with activity" 6 / 10 p.118 "Moderate aching pain, intermittent" ≈ 4–6 / 10 p.171 "Wong-Baker faces: 4" 4 / 10 p.233 "Pain improved" (no scale given) FLAGGED — REVIEW p.265 ### 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. Original wording preserved beside every normalized value Ambiguous entries flagged, not guessed ### 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. View one measure or the full functional picture side by side Readings that contradict the narrative stand out Flexion vs. reported pain — 7 visits since 4/02 Apr 02 — May 14 — Jun 25 Flexion (improving) Reported pain (falling) Reading · Right knee flexion · Jun 25 Adams, T. · #IME-4812 Flexion 118°, extension full. Pain 3/10 with prolonged standing. Quadriceps strength 5/5. Range of motion continues to improve since 4/02. Progress note · p.297 of 342 · packet 2 of 2 Click any reading in the trend view and the exam note opens at this passage. Audit-grade by default ### 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 Citations ](https://medrecords.ai/product/citations/) ### From records dump to functional trend. 3 steps — no spreadsheet of hand-copied degrees, ever again. 01 Upload the file Drop the whole record — clinic notes, therapy flowsheets, IME reports, scans. Every page is read, including handwriting. 02 Readings extracted & normalized ROM figures structured by joint, movement, and side; pain ratings mapped to one comparable scale. Ambiguous entries flagged. 03 Review the trend, click to source 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. [ Medical evaluators Walk into the exam with every prior measurement lined up, cited, and comparable. For IME evaluators ](https://medrecords.ai/solutions/medical-evaluators/) [ Law firms The documented functional loss — or recovery — with page citations ready for demand or defense. For law firms ](https://medrecords.ai/solutions/law-firms/) [ TPAs & case managers Recovery trajectory per claim without re-reading every therapy note. For TPAs ](https://medrecords.ai/solutions/tpas/) [ Insurance carriers Documented function vs. claimed limitation, side by side and sourced. For carriers ](https://medrecords.ai/solutions/insurance-carriers/) FAQ ### ROM & 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, 7 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. [ Condition Progression Tracking One diagnosed condition followed across every visit — worsening, stable, or improving. See progression tracking ](https://medrecords.ai/product/condition-progression-tracking/) [ Work Limitation Extraction Stated work restrictions and return-to-work determinations, structured and cited. See work restrictions ](https://medrecords.ai/product/work-limitation-extraction/) [ Smart List View Any extracted field — including ROM and pain readings — as a sortable, filterable list. See smart lists ](https://medrecords.ai/product/smart-lists/) ### See 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. [Test a file ](https://medrecords.ai/test-a-file/?src=product-pain-range-of-motion-analysis) [Book a demo](https://medrecords.ai/demo/) [All capabilities →](https://medrecords.ai/product/)