APS summary services: hours of attending-physician records, minutes of reading.
APS summary services condense attending-physician statements and treating records into a concise, cited summary structured for the decision in front of you. Hours of attending-physician records become minutes of reading, with every statement linked to its source. The AI summarizes and cites; it never scores risk or makes the decision.
The APS is back. The reading shouldn't take another week.
Most attending-physician statements go out to a summary vendor: a queue measured in days, a dollar or more per page, and a summary you take on faith. Keep the reading with you instead. The summary is ready in minutes, every line pointing at its source page, and the records never leave your control.
The underwriting call itself is graded against the carrier's own manual — Swiss Re Life Guide, Munich Re ALLFINANZ/MIRA, RGA's Global Underwriting Manual, Gen Re's GUM — and the record has to hold up under 3 separate referees later: the post-issue audit that re-pulls the file and checks whether a human underwriter would call it the same way, mortality slippage tracking, and reinsurance treaty audits. A summary with gaps papered over doesn't survive any of the 3.
What an APS summary is, and what ours covers.
An APS summary is a short, organized read of an attending physician statement (APS): the treating records a life or disability insurer requests from an applicant's or claimant's doctors. Life and disability underwriters read them before issuing a policy, claims examiners read them before paying a claim, and attorneys read them when a claim is denied.
A useful APS summary says what the record shows and exactly where it shows it. Every Medrecords AI APS summary covers the 6 sections below, each line cited to its source page.
Conditions and diagnoses
Each condition followed visit by visit, so the trajectory reads in 1 line instead of 40 pages.
Medications
Drug names, dosages and dates, extracted from the notes and medication lists and cited to the page.
Lab values
Lab report tables parsed into structured rows you can compare across the whole file.
Visit and provider history
Every encounter in date order, provider by provider, each one linked to its source page.
Imaging
The radiology reports, and the DICOM studies themselves when they are in the file.
Gaps and duplicates
Missing dates and providers flagged in their own line. Duplicate pages collapsed and logged.
Not included, by design: a risk score, a rating class or a recommendation. Those stay with your underwriting manual and your team. See a medical record summary example →
Built for life and disability underwriting, disability insurers, long-term disability claims and insurance carriers.
Outsourcing APS summaries: what it costs and what to ask a provider.
Carriers handle APS summaries 3 ways: in-house, through an outsourced APS summary provider, or through a service that drafts with AI and shows its sources. 3 numbers decide it: cost per page, turnaround, and whether a reader can check any line against the page it came from.
What it costs
Medrecords AI charges 10 cents a page, and duplicate pages are free. A 400-page packet is $40 before duplicates come out, so the bill drops as repeats are collapsed. The 400 pages is an example, not a typical packet.
The rate is published on the pricing page, and the first case is free on us.
What to ask any APS summary provider
- Is the price per page published, or does it arrive after a sales call?
- Does every line in the summary cite the page it came from?
- Who reads the summary before it reaches your underwriter or examiner?
- Will the provider sign a BAA, and is it SOC 2 audited?
- Does it summarize only, or does it also score risk or recommend a decision?
Medrecords AI answers those 5 this way: the price is public, every line cites its source page, your team reviews the summary before anyone uses it, it signs a BAA under HIPAA and holds SOC 2, and it never scores risk.
Updated 6 Oct 2026
3 steps between the packet and the decision.
Upload the APS packet
The attending-physician statements and treating records you already have, in any format. In the demo case, 342 pages across 2 packets, with 11 duplicate pages removed before the reading starts.
The AI summarizes, every line cited
Condition threads, medication lists with dosages and dates, visit history: each line linked to its source page. Gaps in the record are flagged in their own line, never smoothed over.
You read, verify, and decide
Click any line to the page it cites, export the summary into your workflow, and make the decision against your own criteria. The AI never scores risk and never decides.
A summary that knows what it isn't.
The summary reports what the record says and where it says it. No risk score, no rating, no recommendation: those belong to you and your criteria, and the platform is built so they stay there.
In the demo case, 11 of 342 pages — about 3% of the packet — were exact duplicates, removed before a human ever spends a minute rereading them. Duplicate-heavy EHR exports are the norm on APS files, not the exception, and the density is logged the same way the gap is: in the open, not smoothed away.
In the demo case, the record showed no entries between 6/12 and 7/30. The summary flags the gap in its own line instead of papering over it, because a clean-looking timeline you can't trust is worse than a gap you can see. When someone asks how the summary was produced, the audit trail answers for you.
The rules the platform never breaks.
HIPAA, under a signed BAA
Every file is handled under our Business Associate Agreement, from the first byte.
Never trains a model
Your records are never used to train any AI model — ours or anyone else's.
Every line cited
If we can't cite it, we don't say it. Every sentence links to its source page.
Deleted on request
Retention is configurable and deletion is on request, with a full audit log of every access.
5 capabilities behind every summary.
The APS summary is one deliverable of the same platform that reads, sorts, and cites the whole record.
Medical summary reports
The whole packet condensed into a structured, readable summary, every line linked to the page it came from.
Condition progression tracking
Each condition followed visit by visit across the record, so the trajectory reads in 1 line instead of 40 pages.
Smart lists
Medications, diagnoses, and providers pulled into clean, dated lists, each entry citing the page it was extracted from.
Missing records identification
Gaps in the timeline surfaced before you read, so you know what the packet is missing, not just what it contains.
Medical Record Deduplication
Duplicate-heavy EHR exports are the norm on APS files, not the exception — the same encounter note pulled twice into 2 different pulls. Every match is confidence-scored and collapsed to one canonical page before the summary is drafted.
APS summaries, answered.
Read the summary, not the stack.
AI summarizes and cites. You decide.
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