# Negative Findings & Gap Flagging Software (Beta)

> Negative findings and documentation-gap flagging software, in beta: surfaces explicit negatives and expected-but-undocumented facts, kept clearly distinct.

Canonical page: https://medrecords.ai/product/negative-findings-detection/

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[Home](https://medrecords.ai/) ›[Product](https://medrecords.ai/product/) › — Negative Findings & Documentation-Gap Flagging
NEGATIVE FINDINGS & DOCUMENTATION-GAP FLAGGING

## What the record does not document can matter too. BETA

Negative findings and documentation-gap flagging software from Medrecords AI surfaces explicit negatives and expected-but-undocumented facts across the file, keeping "not documented," "explicitly denied," "unknown," and "not applicable" as 4 clearly distinct states, never collapsed into one. Live in beta and testable today.

[Join the beta ](https://medrecords.ai/demo/?src=beta-negative-findings-detection)
 [Book a demo](https://medrecords.ai/demo/)
Adams, Timothy — right knee · Case #IME-4812
 BETA
4 states, never collapsed
Numbness — explicitly denied
 p.129
Prior surgery — not documented
 gap
Substance use — unknown
 p.140
Pediatric history — not applicable
 n/a
342 pages scanned · **One documentation gap** flagged for review.
IN ACTIVE BETA
Refined hands-on with early customers, reading **what the file says, and what it leaves silent** .

### 4 states, never collapsed into one.

The record can say a symptom is explicitly denied, say nothing about it at all, leave it genuinely unknown, or note it doesn't apply — and those are 4 different facts. Each one is tagged distinctly and cited to its source, so "not documented" never quietly reads as "did not happen."

Explicit negative, not documented, unknown, and N/A stay visually distinct
Every tag cited to the exact page it was drawn from
The 4 states
Explicitly denied — stated in record
Not documented — expected, absent
Unknown — stated as unknown
Not applicable — doesn't apply here
Gap detail
Document type — Discharge summary
Expected field — Follow-up plan
Status — absent — flagged

### Expected fields, flagged when missing.

For a given document type, certain fields are ordinarily present — a discharge summary usually documents a follow-up plan, an intake note usually documents a surgical history question. When one of those expected fields is simply absent, it's flagged as a documentation gap and cited to the document type and the expected-field basis, not asserted as a fact about the patient.

Gaps shown with the document-type basis for the expectation
Material conclusions require a reviewer's confirmation first
Gap state
 NOT DOCUMENTED ≠ DID NOT HAPPEN
What gets flagged
· Fields expected for the document type, but absent
 · The document type and expected-field basis, shown
What requires a human
· Any material conclusion drawn from a gap
 · Confirming a gap before it feeds a report
The boundary

### Absent from the record is not the same as absent from the patient's life.

The system never turns a documentation gap into a factual negative. If a field is missing, it is shown as "not documented" — never rewritten as "did not happen," and never merged with an explicit denial that a clinician actually recorded. Every gap carries the document type and the expected-field basis that made the absence flaggable in the first place.

Any material conclusion drawn from a gap — for instance, arguing that a missing note means a symptom wasn't present — requires human confirmation before it's used. The tool surfaces where the record is silent; deciding what that silence means stays a human judgment call.

### From silence in the chart to a flagged gap.

3 steps, with the reviewer as the final word on what a gap means.

01
Fields checked per document type
Every relevant topic or field is checked against what the document type would ordinarily contain.

02
Outcomes tagged into 4 states
Explicit negative, not documented, unknown, or not applicable — never collapsed into one.

03
Material conclusions need confirmation
Anything drawn from a gap is routed to a reviewer before it's treated as settled.

### Who reads the flagged gaps.

The same distinctions, useful wherever silence in the record needs a careful read.

[
Defense lawyers
Spot exactly which expected fields are missing from a plaintiff's own records, cited.

For defense counsel
 ](https://medrecords.ai/solutions/legal/)
 [
TPAs & case management
Flag documentation gaps across a claim file without re-reading it cover to cover.

For TPAs
 ](https://medrecords.ai/solutions/tpas/)
 [
Medical evaluators
See what the record doesn't say before treating silence as an answer.

For evaluators
 ](https://medrecords.ai/solutions/medical-evaluators/)
FAQ

### Negative findings & documentation gaps, answered.

A feature that surfaces both explicit negatives a clinician recorded ("denies numbness") and expected-but-undocumented facts (a field a document type usually contains but this one doesn't), while keeping those, plus "unknown" and "not applicable," as 4 clearly distinct states.

No, and the tool is built specifically so it can't be read that way. "Not documented" is shown as its own state — a gap in the paperwork, not a fact about the patient. Only an explicit denial that a clinician actually wrote down is tagged as a negative.

Expectations are tied to the document type — a discharge summary, an intake note, a specialist consult, and so on each carry typical fields. When one of those fields is absent from a specific document, that absence is flagged and shown alongside the document type and the expected-field basis.

Yes, in beta. Negative findings & documentation-gap flagging is live and testable now; we're refining it hands-on with early customers, and if your use case is a good fit we'll work with you directly.

Not without review. Any material conclusion drawn from a gap requires human confirmation first — the feature surfaces where the record is silent, and a person decides what, if anything, that silence means.

### Related capabilities.

What sits alongside gap flagging, live today or in this same beta batch.

[
Missing Medical Records Identification
Cross-references treatment history against what was produced and flags what should exist but doesn't.

Explore
 ](https://medrecords.ai/product/missing-records-identification/)
 [
Exam Prep Pack
The gaps and open questions bundled into what an evaluator needs walking into the exam.

Explore
 ](https://medrecords.ai/product/exam-prep-pack/)
 [
Structured Patient History & Recovery-Factor Extraction
History extracted into one cited profile — patient-reported kept separate from confirmed.

Explore
 ](https://medrecords.ai/product/patient-history-recovery-factors/)

### See what your record leaves silent.

Surface explicit negatives and expected-but-undocumented facts, with "not documented" always kept distinct from "did not happen." Join the beta on one of your own files, or book a demo first.

[Join the beta ](https://medrecords.ai/demo/?src=beta-negative-findings-detection)
 [Book a demo](https://medrecords.ai/demo/)
[All capabilities →](https://medrecords.ai/product/)
