Compare
Medrecords AI vs.
the alternatives.
Reading every page — and never putting patient records where they legally can't go — is what separates purpose-built review from everyone else.
The options →
Medrecords AI
AI records review · built for PHI
In-house nurse
Legal nurse on staff
Freelancer
Outsourced reviewer
BPO / Agency
Offshore review shop
Generic AI
ChatGPT · Claude · Gemini
What it does
how the record actually gets read
Reads the whole file
10,000+ page records
Every page — in minutes
Reads it all, but slowly
Manual, page by page
Teams read in shifts
Chokes past ~1,000 pages
Imaging (DICOM)
the scan, not the report
Reads the MRI/CT + 3D view
Radiology report only
Radiology report only
Radiology report only
Can't open DICOM
Handwriting & bad scans
messy source records
Multi-model OCR, flagged
Human-read, slow
Varies by reviewer
Varies by shift
Skips or guesses
Medical chronology
a timeline of care
Auto-built, synced to source
Typed by hand, hours
Typed by hand
Typed by hand
Partial & uncited
Every line cited
traced to the exact page
Click to the page or slice
Usually, if noted
Sometimes
Rarely itemized
No source trail
Gaps & contradictions
the fact that gets missed
Flagged, with sources
Caught if spotted
Caught if spotted
Often missed at volume
Not reliable
Consistency
same file, same result
Same rules every time
Varies by the nurse
Varies by contractor
Varies by shift
Drifts run to run
You stay the author
the final call is yours
Edit, regenerate, attest
They write it for you
They write it for you
They write it for you
Copy-paste by hand
The outcomes
why teams actually switch to us
Turnaround
time to a usable review
Minutes to hours per file
A day or more per file
Days to weeks
Days, plus a queue
Hours of prompting, still partial
Cost
what you pay per page
A flat 10¢ per page
Salary + benefits, full-time
Up to 40¢ per page
Per page + management load
Subscription + your hours
Volume & scale
when the files pile up
Any volume, files in parallel
One reviewer, one file
Capped by headcount
Scales, but slowly
One chat at a time
PHI compliance
the legal line you can't cross
HIPAA controls, under a signed BAA
Depends on their setup
BAA often missing
Offshore PHI exposure
No BAA — not permitted for PHI
Your data & IP
where records end up
Never trains a public model
Stays in your control
Varies by contract
Often offshore-hosted
May train on what you paste
Audit trail
who touched what, when
Every PHI access logged
Manual notes
Little to none
Inconsistent
None
Missed-fact risk
the cost of one miss
Full-page accounting
Human fatigue
Quality varies
Volume errors
High — silent gaps
A note on generic AI and PHI. Consumer ChatGPT, Claude, and Gemini are not HIPAA-eligible without a signed Business Associate Agreement. Uploading patient records to them can breach HIPAA and expose your practice to real liability. Medrecords AI processes every file under a signed BAA, with PHI access logging — and never trains a model on your data.
Built for your work
One platform, tuned to how you work.
The same engine reads every file the same way — here's what it changes for each team.
Insurance & Claims
01
TPA · adjuster · claims manager
Cut cycle time and stop leakage.
A cited summary and chronology per claim in minutes — determinations, faster.
Treatment gaps, prior conditions, and unsupported charges flagged with sources.
A HIPAA-clean audit trail behind every determination.
IME / Medical-Legal
02
Independent medical examiners
Walk into the exam prepared.
The imaging behind the opinion — DICOM and 3D, placed on the timeline.
Causation and apportionment signals surfaced and sourced — you decide.
Attested reports on your letterhead that hold up in deposition.
Personal Injury Law
03
PI firm · med-legal practice
Build the demand in hours, not weeks.
A cited chronology and med-specials that total to the exact page.
The prior injury or gap found before opposing counsel does.
Every fact exhibit-ready, traced to the page or DICOM slice.