TL;DR: A multi-location neurology group or MSO standardizes outside imaging report filing by agreeing on one document taxonomy and one chart location per study type, centralizing every site's fax lines and portals into a shared intake queue, and using automated ingestion so every MRI, EEG, and EMG report is filed by the same rules regardless of which site received it. Measure filing accuracy and turnaround by site so drift shows up early.
Why does imaging report filing drift across neurology sites?
Every neurology site starts with its own habits. One office files outside MRI reports under "Imaging." Another uses "Radiology." A third puts everything in "Outside Records" and lets the neurologist sort it out. The front desk at the newest location, acquired eight months ago, names files by fax date because that's what they did at their old practice.
None of this is anyone's fault. It's what happens when filing is a manual task done by different people under different pressures. For an MSO or multi-location group, the result is that neurologists who cover multiple sites can't trust where to look, and anything built on top of the chart, such as quality reporting, pre-visit readiness checks, and audits, inherits the inconsistency.
Growth makes it worse. Every acquisition adds a new set of conventions, often on a different EHR instance. And the volume is significant: neurology is imaging-heavy across headache, seizure, MS, movement disorders, and neuromuscular care, so outside MRI, EEG, and EMG reports arrive constantly.
Fax is still the main channel. A March 2026 MGMA Stat poll found 24% of practices still lacked digital fax fully integrated with their EHR and workflows. In a group of eight sites, that can mean eight fax workflows running eight different ways.
Step 1: Build one document taxonomy for outside imaging
A document taxonomy is the fixed list of categories and naming rules every site uses to file outside documents. It's the foundation. Without it, there's nothing to standardize to.
Keep it short and specific to neurology. A workable taxonomy for outside imaging and neurodiagnostics covers:
- Study type: MRI, CT, MRA/CTA, EEG (routine, ambulatory, video), EMG/NCS, evoked potentials, sleep study, carotid or transcranial Doppler.
- Body region: Brain, cervical spine, thoracic spine, lumbar spine, other.
- Source facility: Normalized name, so "Valley Imaging," "Valley Imaging Ctr," and "VIC" become one value.
- Study date: The date the study was performed, not the date the fax arrived.
Then define a single naming format, such as [Study type] [Region] — [Study date] — [Facility], and a single chart location for each study type. Get your medical directors and a few frontline schedulers in the same room to agree on it. A taxonomy designed only by operations will miss clinical needs; one designed only by physicians will be too detailed to follow.
Write it down in one page. If it doesn't fit on one page, it's too complicated for consistent manual use.
Step 2: Centralize intake into a shared queue
Standardization is hard when every site has its own fax machine and its own staff deciding what to do with each page. Centralizing intake means routing every site's inbound documents into one shared queue, governed by one set of rules.
The practical moves:
- Route all fax numbers through one digital fax platform. Keep each site's published fax numbers so referring offices don't have to change anything, but deliver everything to one system.
- Consolidate portal access. Hospital and imaging center portals should be accessed under a central process, not by whichever staff member at each site happens to have a login.
- Tag every document with its receiving site. Centralizing doesn't mean losing site context. You'll need it for reporting.
- Decide who works the queue. Some groups build a small central medical records team. Others keep site staff but give them one shared queue and one rulebook.
Centralized intake is also where automation becomes practical. One queue with one set of rules is something software can enforce. Eight separate workflows are not.
How do you handle sites on different EHR instances?
Acquisitions rarely come with matching EHRs. An MSO might run two or three EHR platforms, or several instances of the same platform, for years before consolidation, if consolidation happens at all.
You don't need one EHR to have one filing standard. The taxonomy is EHR-agnostic: an MRI brain report is an MRI brain report whether it lands in one system or another. What changes is the mapping, meaning which chart section or document category in each EHR corresponds to each taxonomy value.
Build a simple mapping table: taxonomy category on one side, the specific chart location in each EHR instance on the other. Your ingestion workflow uses that table to file each document correctly based on which site and system the patient belongs to.
Two cautions. First, patient matching gets harder across instances, since the same patient may exist in two systems with different identifiers. Match within the patient's home site's system, and route cross-site ambiguity to a human. Second, don't let EHR migration plans delay filing standards. Standardize now; the taxonomy will make the eventual migration cleaner.
Step 3: Use automated ingestion to enforce the standard
Training alone doesn't hold a filing standard across eight sites. Staff turn over, new hires bring old habits, and when the queue is long, "Outside Records — Misc" wins.
Automated ingestion holds the line. An AI ingestion tool reads each inbound document, matches the patient, classifies the study by your taxonomy, names it by your format, and files it to the mapped location in the right EHR. Every site's documents get the same treatment because the same system is applying the same rules.
At Honey Health, our fax triage agent is built for this kind of multi-site operation. It works from one central queue across all of a group's fax lines, applies a single taxonomy and naming convention, and files to the correct chart location per site and EHR. Documents it can't file with confidence go to a shared exception queue, so a small central team can cover the whole group without adding headcount at each location. Our data fetching agent handles reports that need to be pulled from hospital or imaging portals.
The operational shift is from "train every site to file the same way" to "define the rules once and let the system apply them."
Measure filing accuracy and turnaround by site
What gets measured stays standardized. Track a small set of metrics, broken out by site:
- Turnaround time: Hours from document receipt to filed in the chart. Same-day is a reasonable target.
- Auto-file rate: The percentage of documents filed without human touch. A low rate at one site often points to a sender or format problem worth fixing.
- Exception queue age: How long documents wait for human review. Old exceptions are where missing reports hide.
- Filing accuracy: From a monthly audit sample, the share of documents filed to the correct patient, category, and name.
- Miscellaneous rate: The percentage of outside documents filed to generic categories. This should trend toward zero.
Review them monthly with site managers. When one site drifts, you'll see it in the numbers before neurologists start complaining.
Why unfiled reports are an audit and compliance risk
Unfiled and misfiled reports aren't only an efficiency problem. They're a risk problem.
A report sitting in a fax inbox for a week is protected health information outside the medical record, often in a system with weaker access controls and auditing than the EHR. A report filed to the wrong patient is a privacy incident. And a clinically significant finding, such as a new lesion on an MRI, that never reaches the treating neurologist is the kind of event that ends up in a malpractice file.
The scale of the gap between "received" and "integrated" is real. ONC's 2023 interoperability data brief found that only about half of hospitals routinely integrated records they received into the EHR without manual entry. Ambulatory groups face the same gap with fewer resources.
Standardized, automated filing shrinks the window where documents sit outside the record, and audit logs show exactly when each document was received, by whom it was filed, and where it went.
How do you get front-desk teams to adopt the standard?
The hardest part of standardization is people, not software. Front-desk and medical records staff have done this work their way for years, and a new standard can feel like criticism.
What works:
- Involve site leads early. Have a front-desk lead from each site review the taxonomy before it's final.
- Explain the why in physician terms. "Dr. Patel covers three sites and can't find EEGs" lands better than "we need standardization."
- Remove work, don't add it. If automation takes over routine filing, staff get time back. Lead with that.
- Celebrate early wins. Share the first month's turnaround improvement with every site.
- Name a filing owner at each site. Even with a central queue, each location needs one person who answers questions about local senders and escalates problems, such as a referring office that keeps faxing to the wrong number.
Expect resistance to fade once staff see the queue shrink. The fastest way to win over a skeptical front-desk lead is a week where they didn't have to rename a single MRI report.
Frequently Asked Questions
Should a neurology MSO centralize medical records staff?
Not necessarily. Centralizing the queue and the rules matters more than centralizing people. Some groups run a small central team; others keep site-level staff working one shared queue. With automated ingestion handling routine filing, most groups find the remaining exception work can be covered by fewer people than before, wherever they sit.
How do we standardize filing when sites use different EHRs?
Use one EHR-agnostic taxonomy and a mapping table that links each taxonomy category to the right chart location in each EHR instance. Your ingestion workflow applies the mapping based on the patient's home site. You don't need to consolidate EHRs to have one filing standard.
How long does it take to standardize imaging report filing across sites?
Agreeing on a taxonomy typically takes a few weeks of meetings with physicians and site leads. Centralizing fax lines and deploying automated ingestion usually takes a few more weeks. Many groups roll out one or two sites first, fix issues, and then extend to the rest.
What metrics show whether filing is standardized?
Track turnaround time, auto-file rate, exception queue age, audit-sampled filing accuracy, and the share of documents filed to generic "miscellaneous" categories, broken out by site. Standardization is working when those numbers converge across sites and stay there.
Does this apply to records other than imaging?
Yes. Once the taxonomy, central queue, and automated ingestion are in place for outside imaging, the same approach extends to referral letters, consult notes, lab results, and hospital discharge summaries. Imaging is often the best place to start because the volume is high and the clinical impact is clear.
