# AI Case Merit Assessment Software > Planned AI case merit assessment software that organizes cited strengths, weaknesses, literature, and open questions for a qualified professional to evaluate. Canonical page: https://medrecords.ai/product/case-merit-assessment/ --- 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/) › — Case Merit Assessment AI CASE MERIT ASSESSMENT SOFTWARE ROADMAP · PLANNED ## Organize the evidence for a professional merit assessment. AI case merit assessment software is a planned workflow for organizing cited strengths, weaknesses, missing evidence, and open questions for a qualified professional to evaluate. It does not issue a verdict or case-merit score. The reviewer authors the assessment, records their reasoning, and decides whether any conclusion is approved, revised, or rejected. Evidence is organized and traced to source. No automated verdict, score, legal conclusion, or clinical opinion is produced; a qualified professional authors every judgment. [Discuss the roadmap ](https://medrecords.ai/demo/?src=roadmap-case-merit-assessment) [Book a demo](https://medrecords.ai/demo/) Adams, Timothy — right knee · Case #IME-4812 ROADMAP MOCKUP Evidence items — sources attached Improving course since 4/02 — 7 visits cited Possible wrong-patient page quarantined p.140 11 duplicate pages removed from the working set 342 pp Reviewer controls Keep item Edit note Remove Top of the analysis stack The planned layer keeps the boundary explicit: **cited signals and matched literature in; a reviewer-authored assessment out.** ### Built on cited signals and matched literature. The planned workflow organizes 2 available inputs: favorable and unfavorable fact patterns flagged in the record, and guidelines and peer-reviewed sources matched to its diagnoses. Those inputs remain cited; the qualified reviewer, not the software, weighs them and authors the conclusion. Signals from Case Strength & Weakness Flagging References from Medical Literature Matching The analysis stack [ Literature & Standard-of-Care Matching live ](https://medrecords.ai/product/medical-literature-standard-of-care-matching/) Case Merit & Standard-of-Care Assessment live Signal flagging and literature matching are available; the assessment-organizing layer shown here is on the roadmap. Evidence briefing — source trail PROVISIONAL Documented improvement surfaced for reviewer evaluation cited Possible wrong-patient page remains quarantined p.140 11 duplicate pages removed before review intake Every evidence item remains traceable; **the software does not assign legal or clinical weight** . ### A reasoning trail you can cross-examine. Each evidence item is intended to retain its source trail: the supporting or conflicting fact, the relevant literature, and where the input appears in the record. The reviewer then documents how they interpreted that evidence and authors the conclusion. Source trail behind each evidence item 2 modes: legal case merit, or standard-of-care deviation ### The sign-off gate is mandatory, not decorative. The evidence briefing remains a draft until a qualified professional reviews the sources and authors their assessment. The reviewer can accept, revise, or reject individual evidence items, but the legal or clinical conclusion is their own work and responsibility. Visible provisional label until sign-off Sign-off recorded — who decided, and when Review workflow Assessment generated — provisional, awaiting review Professional reviews each evidence item and its source Reviewer records their reasoning and conclusion Only the reviewer-authored assessment moves downstream Evidence briefing state ROADMAP MOCKUP What the planned tool organizes · Cited strengths, weaknesses, gaps, and open questions · Source trail for each surfaced input · Signals and literature, traceable to the record What only you provide · Every legal or clinical judgment and conclusion · The signature that makes it final The boundary ### AI organizes evidence. The professional authors the assessment. Case merit and standard-of-care are professional judgments with professional consequences. The planned workflow assembles source-linked evidence for a reviewer to inspect; it does not propose the legal or clinical conclusion. No automated claim decisions, unsigned opinions, verdicts, or case-merit scores. A qualified professional authors the assessment. ### How it works. 3 steps, with the professional's decision as the only exit. 01 The record is analyzed Strength and weakness signals are flagged and literature is matched — the 2 available, cited input layers. 02 A cited evidence briefing is organized Source-linked items are assembled for professional evaluation; no merit or deviation conclusion is drafted. 03 You sign — or you don't The reviewer checks sources, records their reasoning, and authors any conclusion that moves downstream. ### Who signs the assessments. The professionals whose judgment the gate protects. [ Law firms Intake triage and case selection with a cited, provisional merit read — counsel decides. For law firms ](https://medrecords.ai/solutions/law-firms/) [ Med-mal teams Standard-of-care deviation flagged with its literature basis — before the expert budget is spent. For malpractice work ](https://medrecords.ai/solutions/medical-malpractice/) [ Medical evaluators A structured, cited clinical read to test their own conclusions against — then their signature. For evaluators ](https://medrecords.ai/solutions/medical-evaluators/) FAQ ### Case merit assessment, answered. No. The planned workflow organizes cited evidence, counterevidence, literature, missing information, and open questions. A qualified professional authors the assessment and makes every legal or clinical judgment. The product does not issue a verdict or case-merit score. 2 available capabilities provide cited inputs: Case Strength & Weakness Signal Flagging surfaces favorable and unfavorable fact patterns in the record, while Medical Literature & Standard-of-Care Reference Matching surfaces relevant guidelines and peer-reviewed sources. The planned workflow organizes those materials without making the professional's conclusion. That is the intended design. Each surfaced fact and reference keeps a source link so the reviewer can inspect the record page or supporting literature. The reviewer records their own reasoning and conclusion; the software does not substitute an automated judgment. They involve different questions and qualified professionals. Counsel authors any legal case-merit assessment; a qualified clinician authors any standard-of-care assessment. The planned software only organizes cited inputs and does not draft either conclusion or determine that a deviation occurred. The planned workflow would sit above Case Strength & Weakness Signal Flagging and Medical Literature & Standard-of-Care Matching. It would assemble a cited evidence briefing for the reviewer, who authors the assessment, documents their reasoning, and decides what, if anything, moves downstream. ### Related capabilities. The available cited layers that would feed the planned evidence briefing. [ Literature & Standard-of-Care Matching Guidelines and peer-reviewed sources matched to the record's diagnoses — unsigned reference, cited both ways. Explore ](https://medrecords.ai/product/medical-literature-standard-of-care-matching/) [ Case Outcome Benchmarks Success and value ranges from comparable resolved cases — every driver cited to your record. Explore ](https://medrecords.ai/product/benchmarks/) ### Discuss the planned evidence workflow. This evidence-organization workflow is planned, not generally available. Book a conversation to discuss its intended scope, professional-review guardrails, and roadmap timing. [Discuss the roadmap ](https://medrecords.ai/demo/?src=roadmap-case-merit-assessment) [Book a demo](https://medrecords.ai/demo/) [All capabilities →](https://medrecords.ai/product/)