# Body Part Occurrence Detection Software > Body Part Occurrence Detection groups and counts every body-part and injury reference across the file, surfacing which anatomy the record actually centers on. Canonical page: https://medrecords.ai/product/body-part-occurrence-detection/ --- 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/) › — Body Part Occurrence Detection Body Part Occurrence Detection ## 342 pages. One count tells you where the case actually lives. Body Part Occurrence Detection groups and counts every body-part and injury reference across the file, surfacing which anatomy the record actually centers on — not just what the referral letter says the case is about — with every occurrence linked back to the page that mentions it. [Book a demo](https://medrecords.ai/demo/) [Test a file ](https://medrecords.ai/test-a-file/?src=product-body-part-occurrence-detection) Adams, T. · Case #IME-4812 342 pages Sorted by mentions Body part — Mentions — Top cite Right knee — 21 p.88 Lumbar spine — 6 p.156 Cervical spine — 3 p.203 Left shoulder — 1 p.301 Built on medical-record intelligence Trained across legal, insurance & IME records, reading every page for anatomy and injury references, then rolling **every mention into one count** . ### Every mention, grouped under one anatomy. Body Part Occurrence Detection scans every page for body-part and injury references and rolls variant phrasing for the same anatomy or spinal level into a single group, so a mention count reflects the whole file — not however a term happened to be phrased on any one page. Mentions across notes, imaging reports, and billing all count toward the same group Sortable by mention count, so the most-referenced anatomy surfaces first Grouped variants → Right knee "right knee" — 14 pages "R knee" — 5 pages "right knee joint" — 2 pages One group, **21 mentions** , instead of three fragments. Body part — Mentions — Citing page Right knee 21 [Open p.88 →](https://medrecords.ai/product/body-part-occurrence-detection/#) Lumbar spine 6 [Open p.156 →](https://medrecords.ai/product/body-part-occurrence-detection/#) Cervical spine 3 [Open p.203 →](https://medrecords.ai/product/body-part-occurrence-detection/#) ### The count that tells you where the case actually lives. Once every reference is grouped, the occurrence count becomes a map of where the file's attention sits — often different from what the referral letter or intake form named as the focus. Every count is drillable back to the page that mentions it. Click any count to open the citing pages behind it A high count is a pattern to review, not a diagnosis Sort by Mentions — A–Z — Recency Right knee — 21 Lumbar spine — 6 Cervical spine — 3 Left shoulder — 1 The differentiator ### A focus map, not a keyword search. Searching a record for "knee" returns pages. Body Part Occurrence Detection returns a count, grouped and ranked, of every anatomy the file actually discusses — so a reviewer sees the real center of a case in one glance instead of reading 342 pages to find it. [See Medical Record Q&A ](https://medrecords.ai/product/qa/) ### From 342 pages to one ranked count. 4 steps, no manual tally — whether you're prepping an exam, working a claim, or building a case. Every page scanned Notes, imaging reports, operative reports, and billing are all checked for body-part and injury references. Group & count Variant terms for the same body part fold into one group instead of splitting the count. Rank & surface Groups sort by mention count, most-referenced anatomy first. Confirm from source Click any count to open its citing pages and confirm the pattern yourself. ### Who needs the real focus surfaced fast. Same count, different use: each team reads the pattern for what decides their file. [ Medical evaluators Walk into the exam already knowing which anatomy the file actually centers on. For evaluators ](https://medrecords.ai/solutions/medical-evaluators/) [ Legal nurse consultants Spot a mismatch between the referral's stated focus and what the file discusses. For LNCs ](https://medrecords.ai/solutions/legal-nurse-consultants/) [ Workers comp Confirm the claimed body part is what the treatment record actually reflects. For workers comp ](https://medrecords.ai/solutions/workers-comp/) [ Personal injury defense Check a claimed injury pattern against every page, not just the demand letter. For defense teams ](https://medrecords.ai/solutions/personal-injury-defense/) FAQ ### Body part occurrence detection, answered. Every explicit reference to a body part or injury across the file — in notes, imaging reports, operative reports, and billing — grouped by anatomy and totaled into one count per body part. No. An occurrence count describes how often something is mentioned, not a diagnosis or a causation finding — it's a pattern to review, and every count is drillable back to the citing page. Yes. Every occurrence in a group opens to the specific page that mentions it, so a reviewer can check the pattern against the source instead of taking the tally on faith. A referral letter states an intended focus at the time it was written. Occurrence counts reflect what the file itself discusses across every page since, which can surface a different, or additional, area of concern as treatment progressed. Yes. Variant terms for the same anatomy or spinal level fold into a single group, so the count reflects the whole file instead of being split across however a term happened to be phrased on any one page. No. Occurrence counts surface a pattern for a human reviewer to confirm — they don't diagnose, apportion causation, or make a case-merit judgment. That stays with the reviewer. ### Related features [ Medical Chronology See every occurrence in date order, on the same timeline the count is built from. Explore ](https://medrecords.ai/product/chronology/) [ Medical Record Q&A Ask a follow-up question about any body part and get a cited answer. Explore ](https://medrecords.ai/product/qa/) [ Key Date Auto-Suggestion Pair the focus area with the date it likely started, cited to source. Explore ](https://medrecords.ai/product/key-date-auto-suggestion/) ### See where your case actually lives. Upload a file and get a ranked body-part occurrence count back, every group linked to its source pages. No commitment. Handled under our BAA; never used to train a model. [Book a demo](https://medrecords.ai/demo/) [Test a file ](https://medrecords.ai/test-a-file/?src=product-body-part-occurrence-detection) [All capabilities →](https://medrecords.ai/product/)