One queue, sorted by hand
HIM staff classify and index each fax before it reaches a service line. Volume grows every year. Headcount doesn’t.
For hospitals and health systems
Turn the central fax queue into cited facts.
For HIM and informatics teams handling hundreds of thousands of fax pages a month. Every page is sorted by confidence before any expensive model runs, and every value a service line needs is cited to its page and line.
Projected Proposed single-site VHA pilot: 25–35% less time on pre-visit record review.
- Works with your fax server. No EHR changes.
- No generated text
- Low-confidence pages go to HIM staff
01 / Where the queue breaks
A filing problem that turns into a care problem.
Every inbound fax has to be opened, sorted, and indexed before anyone can act on it. At health-system volume, the queue sets the pace for referrals, consults, and outside records across every service line.
Outside records as one PDF
Records from other facilities land in the chart as a single unindexed file. Clinicians search it page by page, or skip it.
Referrals sent back
A service line returns the referral for missing information. The ECG or pathology report was in the packet the whole time.
Costs that track paper
Running a full OCR or model pass over cover sheets, duplicates, and blank pages adds up fast at this scale.
More scanning won’t fix it. Knowing which pages matter will.
See how it works at a health system ↓02 / The evidence so far
Projected for a proposed single-site VHA pilot.
Projections prepared for a proposed pilot at one VA medical system, which faces the same outside-records problem as any large health system. The pilot hasn’t run yet, so these are not results. We’ll walk you through the assumptions.
25–35%
less time on pre-visit record review
Projected · proposed single-site VHA pilot
30–40%
fewer consults returned or cancelled for missing information
Projected · proposed single-site VHA pilot
11,000+
clinician hours reclaimed
Projected · proposed single-site VHA pilot
$4.5M
in annual soft-cost savings
Projected · proposed single-site VHA pilotWorks with the fax channels you already run
- RightFax and other fax servers
- Central mail and fax gateways
- DirectTrust
- eHealth Exchange
InfoNotData doesn’t integrate directly with EHRs today, so nothing in your EHR changes. Product names are trademarks of their owners and are listed only to describe where InfoNotData fits.
Built for your security review
- HIPAA
- FIPS-validated encryption
- Section 508 / WCAG 2.1 AA
“Built for” means designed to meet these requirements. Bring your vendor-risk questionnaire to the walkthrough. Security and compliance
03 / How it works at a health system
Route at the queue. Extract for each service line.
The same four steps as everywhere InfoNotData runs, placed where your faxes already land.
-
Route
Every page in the central queue is sorted Easy, Medium, or Hard in milliseconds, before any expensive model runs.
HIM stops hand-sorting cover sheets. -
Extract
Each service line gets only the values its intake checklist asks for. No summaries, no generated text.
Coordinators get facts, not an 846-page PDF. -
Check
Found values are matched to the service line’s requirements, and gaps are flagged before the referral moves.
Fewer referrals bounce back. -
Cite
Every value links to its page and line. Low-confidence pages go to HIM staff, never a guess.
Anyone can verify it in one click.
Easy · auto-processed
7,214 pages in this batch
High-confidence pages are processed automatically on the fast path.
Medium · extraction-only
1,906 pages in this batch
Pages that need a closer read get a targeted extraction pass. Values only, each with its source.
Hard · human review
312 pages in this batch
Low-confidence pages, like handwriting or a poor-quality fax, go to a person. Never a guess.
Check and cite
One queue, a checklist for every service line.
Your service lines define what “complete” means. InfoNotData checks each packet against that list and shows exactly where every value came from, and what’s missing.
Cardiology consult readinessSynthetic example
- ECG within 90 days02/11 p.412 · L8
- Troponin trend3 values p.388–391
- Left ventricular ejection fraction35% p.212 · L14
- Stress test resultNot in packet · routed to intake
3 of 4 found · 846 pages · 3.8 s
Oncology new-patient intakeSynthetic example
- Pathology reportFound p.33 · L4
- Most recent imaging report01/28 p.101 · L2
- Prior treatment historyFound p.7 · L11
- Current medication listLow-confidence scan · routed to HIM
3 of 4 found · 312 pages · 2.1 s
Illustrative checklists. Requirements are configured with each service line.
04 / At health-system scale
Built for the volume you actually receive.
Scale
~1.8M
faxes a month at one Tampa Bay health system
That’s the inbound volume of a single regional system. InfoNotData is built for queues of 100,000 to more than 1,000,000 pages a month.
Design target
Up to 80%
lower OCR overhead, by design
Advanced pre-processing and a model selector decide which pages need which pass, so cover sheets and duplicates don’t get the same treatment as an echo report.
What InfoNotData doesn’t do
- Replace your fax server or fax numbers, or require changes to your EHR
- Write summaries or any generated text about patients
- Guess at a value on a low-confidence page
- Hide what it couldn’t find
Filter before you spend
Size it for your own queue.
Put in your volume and your rates. Every assumption is on the screen, so you can take the math to your CFO.
InfoNotData’s router decides page by page which pass each page needs. The share you set here is your estimate, not a promise from us.
Questions from HIM and IT
What health systems ask first.
Does InfoNotData replace our fax server?
No. It works on faxes after they arrive through RightFax, another fax server, or your mail and fax gateways. Your fax numbers and inbound channels stay as they are.
Does it write summaries of patient records?
No. InfoNotData is extraction-only. It pulls specific values, such as an ejection fraction or an ECG date, and links each one to the page and line it came from. It never generates text about a patient.
What happens to pages it isn’t sure about?
Low-confidence pages, like handwriting or a poor-quality fax, are routed as Hard and go to a person on your HIM team. InfoNotData doesn’t guess, and it shows what it couldn’t find.
Does it integrate with our EHR?
Not directly, today. InfoNotData works on faxes as they arrive and gives your team the extracted values with their page-and-line citations, so nothing in Epic, Oracle Cerner, or your other systems has to change. Tell us about your workflow and we’ll show you where it fits.
How does it handle our security review?
InfoNotData is built for HIPAA requirements and uses FIPS-validated encryption. Bring your vendor-risk questionnaire to the walkthrough and we’ll go through it with your security team. See security and compliance.
What volume is it built for?
Queues of 100,000 to more than 1,000,000 pages a month. Routing happens in milliseconds per page, before any expensive model pass.
Other teams with the same problem
- Community Care networksReferrals returned for missing documentation, on both the sending and the receiving side.
- Specialty groupsEvery incoming packet checked against your intake requirements before scheduling.
- VA and federal health800-page community care PDFs in JLV, and consults cancelled for missing information.
06 / Next step
See it on a health-system packet.
A 30-minute walkthrough with an engineer. We’ll run a synthetic or de-identified packet through routing, extraction, and citation, and show you where it hands off to your HIM team.
What happens next
- An engineer replies to set a time that works for your team.
- A 30-minute walkthrough on a synthetic or de-identified packet.
- If it fits, we scope a pilot on your own queue.
An engineer, not a sales script. We’ll show you what it doesn’t do, too.
- Security and complianceFor your privacy and security reviewers
- How routing worksThe Easy, Medium, and Hard router, step by step
Tampa, Florida