Enterprise / Solutions / Healthcare

Patient records, labs, referrals, prior auth, and the clinical decisions that depend on all of them .

The information a clinician needs lives across multiple systems at once. Momor helps clinical and operational teams pull it together faster, with clearer context and fewer gaps between steps.

Where Momor helps

The patient context stays in one place.

Patient summaries: bring together visits, labs, medications, referrals, and notes into a more usable view of the patient state.

Prior authorization support: structure the required information, track what is missing, and help teams move through authorization work with fewer avoidable misses.

Referral tracking: track where a referral stands, what was sent, what came back, and what still needs follow-up.

What this changes for the team

The clinician still makes the clinical judgment. Momor handles the operational load — synthesizing records, tracking referral status, checking authorization requirements, and keeping the patient context together so the team spends more time on care and less time clicking through portals.

How it works in practice

Start with patient summaries or prior auth. Expand from there.

Pick the task that costs the practice the most time per patient. The first one works without EHR integration — upload documents and query. The rest connect deeper as the workflow proves out.

PatientSummary

Synthesize patient records into a clinical summary.

Pull from EHR records, lab results, imaging reports, and visit notes to produce a current-state summary for a patient. The kind of synthesis that takes a physician 20 minutes of clicking through portals, delivered in a query.

Example queries
"Give me a current summary of this patient — medications, recent labs, last three visits."
"What's this patient's surgical history and are there any pending referrals?"
LabAnalyzer

Interpret lab results in clinical context.

Flag abnormal values, track trends across multiple lab draws, and surface results that are clinically significant for this patient's history — not just outside reference ranges.

Example queries
"Flag anything clinically significant in this patient's last three lab panels."
"How has the creatinine trended over the past year? Is this consistent with the current medication regimen?"
PriorAuthChecker

Check authorization requirements before you submit.

Given a planned procedure, medication, or referral, check the patient's insurance requirements and flag what needs prior authorization — before the claim gets denied.

Example queries
"Does this patient's plan require prior auth for an MRI of the lumbar spine?"
"What documentation do I need to submit for prior authorization on Humira?"
ClinicalDocReader

Parse and query clinical documents.

Upload a discharge summary, a specialist report, an imaging interpretation — and ask questions about it in plain language. The document is parsed and queried directly, not stored or used to train any model.

Example queries
"What did the cardiologist recommend in this consultation note?"
"Summarize the key findings from this discharge summary — what needs follow-up?"
ReferralTracker

Know where every referral stands.

Track referrals from submission through completion. Which patients were referred out, to whom, what's pending, what's been completed, and what needs follow-up.

Example queries
"Which patients were referred to endocrinology in the last 30 days and haven't been seen yet?"
"What's the status of the orthopedic referral for patient Johnson?"
Built into every response

Interventions & Advisories

Momor does not just return clinical data. When a lab value needs medication context, or when a trend across draws matters more than a single reading, the system flags it — and when the call is clinical, it stops.

Intervention

Pauses where the clinical judgment belongs to the provider.

"The lab results show potassium at 5.3 mEq/L — above reference range. However, the patient's medication list includes spironolactone, which commonly elevates potassium. Is this an expected finding or does it warrant follow-up?"
"The referral response from cardiology references a different patient DOB than what's in the primary record. Should I flag this as a data discrepancy or proceed with the summary?"
Advisory

Raises what the data showed beyond the original query.

"Patient summary complete. While reviewing recent labs, I noticed the HbA1c has trended upward across the last three draws — 6.1, 6.4, 6.8. This wasn't part of the query but may warrant a conversation at the next visit."
"Prior auth check complete for the requested procedure. Note: the patient's insurance plan changed effective last month. The new plan may have different authorization requirements — verify current coverage before submitting."
How deployment works

Start with summaries or prior auth. Expand into referral tracking.

The first phase works on your next patient visit with no EHR integration required. Subsequent phases add clinical depth and operational tracking as the first one demonstrates value.

Phase 01

PatientSummary + PriorAuthChecker

Synthesize patient records into a current-state summary, or check authorization requirements before submitting. No EHR integration required to start — upload documents and query.

Phase 02

LabAnalyzer + ClinicalDocReader

Add lab trend analysis and clinical document parsing. Flag what is clinically significant for this patient, not just what is outside reference range.

Phase 03

ReferralTracker

Track referrals from submission through completion. Know which patients were referred, to whom, what is pending, and what needs follow-up.

Start with the workflow that takes the most time.

Patient summaries, prior auth checks, referral tracking — whichever one costs your practice the most hours. That is where we start.

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