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Home › Reports › The QME's buyer's guide to AI record review, 2026
State of AI for California QMEs, 2026

The QME's buyer's guide to AI record review, 2026

What should a QME check, ask, and test before paying for an AI record review tool in 2026: 23 vendors name California QMEs on their own commercial pages, 9 of them say the output cites back to the source page, and 8 publish a price you can act on without a sales call.

By Ahmed Jemaa · Medrecords AI · 2026-09-07 · Audience: QMEs (California)
At a glance
23Vendors counted
179Sources linked
1094Pages captured
172Reviews coded
On this page
  1. At a glance
  2. The article
  3. Methodology
  4. Sources
  5. Frequently asked
  6. More in this series
  7. How Medrecords AI does this work
  8. Explore the content hub
  9. Test on a file

The article

What should a QME check, ask, and test before paying for an AI record review tool in 2026?

What the data says
  • 23 vendors name California QMEs on their own commercial pages. 9 of them say the output cites back to the source page.
  • 8 of 23 publish a price a buyer can act on without a sales call.
  • Of 74 public reviews of AI vendors in this category, 2 mention accuracy or error at all.
11 of 23
vendors publish a price at all
captured 2026-09-06
7 of 23
send you to a demo instead
no number on the site
12
claims worth putting in an RFP
each one counted across the set
5
tests you can run on one file
before you sign anything
How California QMEs find out what these tools cost

23 vendors that name this audience, coded from their own pages

Publishes a number on a public page11 / 23Sends you to a demo form instead7 / 23Offers a trial or free tier in writing5 / 23

Denominator: 23 vendors that name California QMEs on their own site and carry page-level evidence. 16 state it on a product or pricing page. Captured 2026-08-13 and 2026-09-06. A bar counts vendors whose own site states it. Negotiated pricing is invisible to this method.

What anyone will actually tell you about price

11 of 23 vendors selling to California QMEs publish a number. 7 route you to a demo form instead. That is the single biggest information asymmetry in this category, and it is deliberate.

Here is every published price we found in this set.

VendorWhat the page saysCaptured
Doqtor$0.10 per page processed, no monthly fee, no minimums, no contracts2026-09-07
InPractice AI### Total Cost ### 1,000 Pages ### $0.10 per page ### $100 ### 5,000 Pages2026-08-13
LezDo TechMedour pricing options Monthly Casewise 10001-50000 Pages/Month $0.40/ Page Start Free TrialIncludes • Indexing •2026-08-13
Managed Outsource Solutions (MOS)Pricing After Trial (for as low as $0.10/page)  #### Full Platform Access Included ##2026-08-13
MediScanAI, unlimited downloads and sharing. Starter Plan $169 per month It's an easy first step2026-08-13
SMARTMD10.9 to 12.9 cents per line2026-09-07
Superinsight.aiFor advocates handling 1-2 cases per month $ 250 /month $62.50 /credit - 4 credits2026-08-13
Work Comp Medical Services15 percent of total QME, plus a $100 virtual office fee2026-09-07
Doqtor$0.10 per page processed, no monthly fee, no minimums, no contracts2026-09-07
SMARTMD10.9 to 12.9 cents per line2026-09-07
Work Comp Medical Services15 percent of total QME, plus a $100 virtual office fee2026-09-07

List prices printed on a public page. Negotiated and enterprise pricing is invisible to this method, and most vendors here publish none.

The checklist

Take this into the demo. The count after each line is how many vendors in this set already say it in public, which tells you whether you are asking for something unusual or something standard.

How standard each checklist line already is

23 vendors selling to California QMEs, counted from their own copy

Says it drafts the report itself1 of 23Says it redacts protected health information2 of 23Says it reads handwritten notes4 of 23Says it reviews medical bills or charges4 of 23Says a human reviews the output4 of 23Says it flags records that are missing5 of 23Says it flags contradictions inside the file5 of 23Says it removes duplicate pages5 of 23Says it builds a dated chronology6 of 23Says it writes a summary7 of 23Says it addresses causation or apportionment7 of 23Says the output cites back to the source page9 of 23

Denominator: 23 vendors that name California QMEs on their own site and carry page-level evidence. 16 state it on a product or pricing page. Captured 2026-08-13 and 2026-09-06. A short bar means you are asking for something the category does not advertise yet, so expect to negotiate for it in writing.

Capability
  • Says it drafts the report itself. Ask them to show it on a file you supply. 1 of 23 vendors selling to California QMEs state this publicly.
  • Says it redacts protected health information. Ask them to show it on a file you supply. 2 of 23 vendors selling to California QMEs state this publicly.
  • Says it reads handwritten notes. Ask them to show it on a file you supply. 4 of 23 vendors selling to California QMEs state this publicly.
  • Says it reviews medical bills or charges. Ask them to show it on a file you supply. 4 of 23 vendors selling to California QMEs state this publicly.
  • Says a human reviews the output. Ask them to show it on a file you supply. 4 of 23 vendors selling to California QMEs state this publicly.
  • Says it flags records that are missing. Ask them to show it on a file you supply. 5 of 23 vendors selling to California QMEs state this publicly.
  • Says it flags contradictions inside the file. Ask them to show it on a file you supply. 5 of 23 vendors selling to California QMEs state this publicly.
  • Says it removes duplicate pages. Ask them to show it on a file you supply. 5 of 23 vendors selling to California QMEs state this publicly.
  • Says it builds a dated chronology. Ask them to show it on a file you supply. 6 of 23 vendors selling to California QMEs state this publicly.
  • Says it writes a summary. Ask them to show it on a file you supply. 7 of 23 vendors selling to California QMEs state this publicly.
  • Says it addresses causation or apportionment. Ask them to show it on a file you supply. 7 of 23 vendors selling to California QMEs state this publicly.
  • Output cites back to the source page. Ask them to show it on a file you supply. 9 of 23 vendors selling to California QMEs state this publicly.
Security and data handling
  • States a data retention period. 1 of 23 state it publicly. Ask for the document, not the claim.
  • Names a SOC 2 report. 3 of 23 state it publicly. Ask for the document, not the claim.
  • Offers a business associate agreement. 3 of 23 state it publicly. Ask for the document, not the claim.
  • Says it does not train on customer data. 4 of 23 state it publicly. Ask for the document, not the claim.
  • Names HIPAA on the site. 7 of 23 state it publicly. Ask for the document, not the claim.

Red flags, each one seen in this data

  • A citation feature that is described but never shown. Ask for a live click from a sentence to a page. 9 of 23 vendors claim citations. Far fewer will demo the click on your own file.
  • Per-page billing with no deduplication answer. Ask directly whether you are billed for the same page scanned three times. Get the answer in the contract.
  • A pricing link that goes nowhere. One vendor in this study advertises transparent pricing behind a dead placeholder link. Click every pricing link before the call.
  • Compliance by adjective. HIPAA-compliant on a homepage is not a business associate agreement. Ask for the agreement and the retention period in writing.
  • A site that has not changed in a year. Update velocity is measurable from a public sitemap. A dormant site under an active sales team is worth asking about.

The trial protocol

  1. Pick one real file between 200 and 500 pages. Use the same file for every vendor.
  2. Remove one known visit before you send it. Note what you removed.
  3. Duplicate one discharge summary three times under different scan dates.
  4. Include at least two pages of handwriting.
  5. Score each output on the same sheet: did it flag the missing visit, did it charge you once or three times, did it read the handwriting, do five random citations resolve, and how long did it take.

Three vendors, one file, one sheet. The whole exercise costs less than a day and it settles arguments that a demo cannot.

Methodology

This is a secondary-research study, not a survey. Every number is a count over a named set of vendors, taken from what those vendors publish on their own sites, with a source URL and a capture date.

This article
23vendors counted
5677coded evidence rows
1094pages captured
172reviews coded

What we did

  1. We built a vendor pool from two owned corpora: a 55-site competitor scrape captured on 2026-08-13, and 328 live company profiles from the Medrecords AI content hub.
  2. We ran four targeted discovery passes for the audiences the pool covered thinly: legal nurse consultants, medical expert witnesses, life care planners, and California QMEs. Those passes added 36 vendors that name those buyers on their own commercial pages.
  3. We coded a fixed rubric against every page we hold. A rubric field is marked yes only when the vendor's own copy says it, and each yes carries the page URL, the capture date, and a verbatim excerpt of fifteen words or fewer.
  4. We pulled each vendor's sitemap, llms.txt, and robots.txt live on 2026-09-06 and 2026-09-07 to measure how often the site changes and whether it invites or blocks AI crawlers.
  5. We pulled Wayback Machine snapshots near 1 September of 2024, 2025, and 2026 and counted seven marketing terms in each, to show how the category's own language moved.
  6. We read 174 third-party reviews and 30 Reddit threads and coded them into themes. Only hand-verified quotes are published.
  7. We scored each vendor for each audience on six weighted components and published the component scores next to the total, so a reader can disagree with a weight and re-rank.

How a claim is scored

Each rubric field is scored from the vendor's own pages, never from a press release or a third-party listing. Strength records where the claim appears, because a claim on a pricing page is worth more than a claim in a blog post.

StrengthWhat it means
strongStated at least twice on a key page, or at least four times across the site. Key pages are the homepage, product, pricing, security, solutions, platform, features, integrations, trust, compliance, and about pages.
mediumStated once on a key page, or at least twice elsewhere.
weakOne passing mention anywhere on the site.

Capture dates

WhatWhen
Competitor site scrape2026-08-13
Content hub profiles2026-09-01
Reviews and reddit2026-08-13
Discovery passes2026-09-06
Sitemap llms robots pull2026-09-06 to 2026-09-07
Wayback targets2024-09-01, 2025-09-01, 2026-09-01
Rankings computed2026-09-07

Limitations

  • This measures what vendors publish, not what their software does. A vendor that cites to the source page but never says so scores low here. That is the method working as intended: the study is about the public record, and a buyer reading a website sees the same thing.
  • Coverage is uneven by design. Fifty-five vendors have a deep page-level scrape. Thirty-five more were found by targeted discovery and scraped shallowly. The rest appear in the pool for completeness and are never ranked.
  • Update velocity can only be measured where a sitemap publishes lastmod dates. 60 vendors do. For the others the field is recorded as not measured, never as zero.
  • Wayback coverage is thin. The Internet Archive holds snapshots near all three target dates for 35 of the 55 deep-corpus vendors. Term trends drawn from that subset are directional and are labeled as such wherever they appear.
  • Review counts favor vendors that sell to law firms, because those are the vendors with public review profiles. A physician-facing product with no G2 listing is not worse, it is unlisted.
  • Prices are list prices published on a pricing page. Negotiated and enterprise pricing is invisible to this method, and most enterprise vendors publish no price at all.
  • Every count is a count over this vendor set on these dates. It is not a market share estimate and it is not a projection.

Gates we skipped and tools we could not use

  • openseo organic metrics. Dataset-build step 13 is optional and costs credits. It was not run, because a batch over 2,000 credits needs founder approval and none was given. No organic-traffic or keyword figure appears anywhere in this study.
  • Full six-page scrape of discovery vendors. Dataset-build step 7 was completed for the 55 deep-corpus vendors and only partly for the 35 discovery vendors. Those vendors carry audience, pricing, and citation evidence from the pages actually fetched, and are marked discovery_pass so a reader can see the difference.
  • LibreOffice recalculation. The source checklist is an xlsx workbook. LibreOffice is not installed on the build machine, so the workbook was read with openpyxl and never recalculated. No figure in this study comes from a workbook formula.
  • Reddit direct access. Reddit blocks direct fetching from this machine. The 30 threads were captured through a third-party scraping API on 2026-08-13 and are quoted only where hand-verified.
  • Regulatory text verification. Statutory and regulatory citations marked verify in the source checklist have not been checked against current text. None of them is used as a number in this study.
  • Wayback CDX queries rate-limit hard under parallel load. The first pass lost 28 vendors to connection refusals. Those were retried serially with four-second spacing, which recovered most of them. The count above (122 snapshots) is what actually returned, not what was requested.
  • Exactly 5 vendor in the pool blocks AI crawlers in robots.txt: mosmedicalrecordreview.com, ecsper.com, provalens.ai, doqtor.io, smartmd.com.

Composites

Where this study describes a buyer situation rather than a vendor claim, it is a composite drawn from published sources, not a survey. Composites are labeled at the point of use with the number of sources behind them. No customer, prospect, or call participant is identified.

Review quotes are one excerpt per review, under fifteen words, in straight quotes, linked to the review. Everything else is paraphrased and aggregated into coded themes.

Every table and chart in this series links to the page it came from. Where a page has changed since capture, the capture date printed next to the figure is the date that matters. Wayback links are given for figures drawn from archived snapshots.

Sources

179 sources. Every figure in this article traces to one of them. External links are marked nofollow and open in a new tab. Earnings call transcripts sit in our own corpus and carry no public link, so they are listed by company and quarter for anyone who wants to pull the original.

Vendor pages that name California QMEs (23)

Pricing pages (6)

Funding, acquisition and product announcements (16)

Earnings call transcripts in the owned corpus (8)

  • ExlService Holdings (EXLS), Q4 2025 earnings call · 2026-02-25
  • Verisk Analytics (VRSK), Q1 2026 earnings call · 2026-04-29
  • CCC Intelligent Solutions (CCC), Q1 2026 earnings call · 2026-04-30
  • Guidewire Software (GWRE), Q3 FY2026 earnings call · 2026-06-04
  • Marsh & McLennan (MMC), Q2 2026 earnings call · 2026-07-21
  • ExlService Holdings (EXLS), Q2 2026 earnings call · 2026-07-29
  • Verisk Analytics (VRSK), Q2 2026 earnings call · 2026-07-29
  • CCC Intelligent Solutions (CCC), Q2 2026 earnings call · 2026-07-30

Court decisions (5)

Internet Archive snapshots (105)

Reviews and threads quoted (16)

Frequently asked

Is this a survey?

No. Nobody was interviewed and nobody filled in a form. Every number is a count over a named set of vendors, taken from what those vendors publish on their own sites, with a source link and a capture date next to it.

How many vendors are behind the numbers on this page?

23. A vendor is counted for California QMEs only when it names that audience on its own commercial pages and carries page-level evidence in this study. The full pool is 364 companies, of which 90 carry that evidence.

What does it mean when a vendor is not counted for a capability?

It means the claim does not appear on any page we captured. It does not mean the software cannot do it. This study measures the public record, which is also what a buyer reading a website sees.

Why do the reviews say so little about accuracy?

Of 74 public reviews of AI and software vendors in this category, 2 mention accuracy or error and 0 mention hallucination. Reviewers write about what they can see. Turnaround is visible immediately. A missed record is not visible until it matters.

Can I check your work?

Yes, and that is the point. Every table links to the page it came from and prints the date we read it. Where a figure comes from an archived snapshot, the snapshot link is in the sources section.

Does Medrecords AI appear in the ranking?

No. We publish this study, so ranking ourselves against our own rubric would not be a ranking. The rubric and every input are public, so anyone can score us on the same sheet.

How Medrecords AI does this work

Medical chronology

A dated, deduplicated timeline with a citation on every entry.

Product

Medical record Q&A

Question the whole record in plain English; every answer cited.

Product

Verifiable AI citations

If it is not cited, it is not said.

Product

Explore the content hub

Software & platforms

AI and case-management platforms across medical-record review.

Service providers & BPOs

Record review, peer review, retrieval, LNC and BPO providers.

State programs

Rules, AMA Guides edition, and MMI standards by state.

Comparisons

Head-to-head vendor and program comparisons.

Guides

Editorial reference on report writing, MMI, and validity testing.

Conferences & events

Workers comp, claims, insurance and medical-legal conferences.

Directories

Link-out rosters of examiners, LNCs, and expert witnesses.

State matrix report

All 10 verified state programs, side by side.
Test it on a real file before you believe any of this.

Medrecords AI processes the record, cites every line, and bills per deduplicated page. The first 500 pages are free to test.

  • Cited output, not a black-box summary
  • Duplicates never billed
  • HIPAA / SOC 2
  • Flat 10¢ per page to start
Test a file → Book a demo