How do infusion centers speed up time-to-therapy when payer portals and phone calls slow everything down?

Most infusion leaders don’t need to be convinced that time-to-therapy matters. You feel it every time a patient sits in limbo because a benefits check is stuck behind a portal login, a prior auth is waiting on a faxed form, or a claim denial surfaces weeks after the fact. The reality is blunt: payer portals and phone calls are where time-to-therapy goes to die.

But they’re also where the work actually happens.

Speeding up time-to-therapy isn’t about prettier dashboards or another “workflow layer.” It’s about executing the messy, portal-and-phone-driven work faster, more consistently, and with fewer gaps—without asking your team to sprint forever or doubling headcount.

Below is a practical, operations-first breakdown of how infusion centers can actually move the needle when portals, faxes, and phone calls seem to control the pace.

Where time-to-therapy really gets stuck

If you map any delayed start, it almost always breaks down in the same places:

Intake and referral processing
Benefits investigation and out-of-pocket estimation
Medical policy review and prior authorization
Ongoing claims statusing and appeals

Every one of those steps is throttled by:

Payer portals with inconsistent workflows
Faxed forms and handwritten notes
Phone trees and hold times
Requirements that change by payer, plan, and drug

If your strategy assumes “clean integrations” will fix this, you’re already behind. Most payers don’t expose usable APIs for the work that actually matters. Your team is still logging into portals, reading faxes, and calling payers.

The question isn’t “How do we get around portals and phone calls?”
It’s “How do we execute portal and phone work at a speed and scale humans alone can’t match—without compromising compliance or accuracy?”

Strategy 1: Turn intake into same-day, not 3–4 day work

From referral pileup to real-time EHR entry

The first time-to-therapy leak is basic: referrals arrive in every format and sit. You’ve seen the pattern:

Referrals via fax, email, portal uploads, handwritten forms
Clinical notes, lab reports, and orders all formatted differently
Staff spending 10–20 minutes per referral just interpreting and keying into the EHR
A rolling 2–4 day backlog that quietly becomes the “normal” state

That delay alone can push patient starts out by days before benefits or auth work even begins.

How to speed this up in the real world

To materially improve time-to-therapy at intake, you need:

Agents that can read anything
Systems that interpret referral forms, lab reports, and clinical notes regardless of formatting—just like your best back-office specialist—then:
- Extract required demographics and clinical details
- Normalize drug, dosing, and diagnosis language
- Route the case and enter data into your EHR
End-to-end task execution, not just “capture”
Getting data off the fax isn’t enough. The work is:
- Reconciling referral info with existing patient records
- Triggering benefits investigation automatically
- Flagging missing labs or documentation before the chart hits your clinicians

When centers deploy AI agents to do that end-to-end work, you see throughput shifts like:

Moving from 10–12 minutes per Rx to real-time processing
Eliminating a 4-day prescription backlog down to 0 days
Letting staff focus on complex cases instead of sorting, reading, and typing

That’s how you convert “referral received” into “benefits work started” in hours, not days.

Strategy 2: Compress benefits and out-of-pocket from days to hours

The bottleneck: portals, fee schedules, and financial math

For most infusion centers, benefits verification and out-of-pocket estimation aren’t slow because the math is hard—it’s slow because:

Each payer means a different portal, login, and workflow
Eligibility, medical benefits, and pharmacy benefits live in different places
Site-specific fee schedules, co-pay programs, GPO and 340B pricing, and drug acquisition costs all have to be reconciled
Teams are manually stitching together an out-of-pocket estimate in Excel or the EHR

You can’t shortcut payer rules, but you can aggressively shorten how long it takes to apply them.

How to accelerate benefits work without cutting corners

The operational play looks like this:

Automate portal navigation and data collection
Use AI agents that:
- Log into payer portals securely
- Pull eligibility, coverage details, and accumulators
- Check both medical and pharmacy benefits where relevant
- Log every step for auditability (who checked what, where, and when)
Encode your financial logic once, apply it at scale
Time-to-therapy is heavily influenced by how quickly you can:
- Apply site-specific fee schedules for the drug and administration
- Layer in co-pay assistance and manufacturer support
- Account for GPO and 340B pricing and drug acquisition costs
- Produce a clear out-of-pocket estimate for the patient and provider
Trigger downstream steps automatically
Once benefits are confirmed:
- Automatically route cases that need prior auth
- Flag financial counseling opportunities early
- Surface high-risk benefit scenarios (e.g., likely denials, high OOP) to staff before the patient is on the schedule

Centers using AI agents for these steps see a step-function change: benefits investigations that used to soak up large chunks of staff time per case are completed in minutes, with consistent math and fully traceable actions.

Strategy 3: Treat medical policy and prior auth as one continuous workflow

Where calls, faxes, and portals collide

Prior auth doesn’t go slow because teams are careless; it goes slow because:

Medical policies vary by payer, plan, and site of care
Requirements differ by drug, line of therapy, and diagnosis
Policies are updated frequently, often without clear notice
Submission channels are fragmented (portal, phone, fax-only payers)

Too often, prior auth is treated as a single “task,” when it’s really a chain:

Find the right medical policy
Compare requirements against the patient chart and labs
Compile the documentation and fill out payer-specific forms
Submit via the required channel (portal, fax, phone)
Monitor status and respond to follow-up requests

Every handoff in that chain is an opportunity for delay.

How to compress prior auth cycle time

To actually speed time-to-therapy, you need agents that:

Continuously match policy to chart
Automatically:
- Identify the appropriate medical policy for the drug, diagnosis, and payer
- Compare required criteria to the patient’s chart, labs, and notes
- Flag missing items (e.g., labs, imaging, step-therapy documentation) before submission
Assemble and submit complete auth packages
Just like a seasoned specialist would:
- Populate payer-specific forms
- Attach the right clinical documentation from referrals and EHR
- Submit via the method the payer requires—portal, fax, or phone—not just what’s convenient for you
Log every action for compliance and appeals
Every portal action, fax, and phone call should be:
- Timestamped
- Attributed to the agent
- Stored as a traceable record for internal QA, payer audits, and future appeals

This is how centers see prior auth turnaround effectively collapse—from days of stop-and-go work to under-2-hour cycles for document processing, and a far lower rate of avoidable denials tied to missing documentation or policy mismatches.

Strategy 4: Pull denials risk forward with proactive claims statusing

Claims delays aren’t just a revenue problem—they’re a therapy problem

If you’re only discovering issues when a denial finally posts in your remit, you’re already weeks behind. That delay impacts:

Patient affordability conversations
Ongoing scheduling decisions
Confidence in continuing therapy for edge-case coverage situations

And again, the friction lives where you’d expect:

Payer portals that must be manually checked for claim status
Phone calls to chase down “in process” claims
Manually reading and interpreting remits

How to keep claims from silently extending time-to-therapy

To keep therapy moving without blind financial risk, your system needs to:

Automate routine claims checks
AI agents:
- Log into payer portals on a defined cadence
- Check status for targeted claims (high-dollar, high-risk, or all, depending on your model)
- Capture notes and codes directly from payer systems
Interpret remits and trigger action
Instead of staff manually parsing remits:
- Agents interpret reason codes and remark codes
- Classify issues (e.g., missing auth, experimental/investigational, coding mismatch)
- Auto-initiate an appeal workflow where appropriate, compiling the needed documentation

This adds a safety net: even when the front-end work is tight, claims-based surprises are caught early, and you’re not blindsided weeks into a course of therapy.

Why “workflows, not widgets” is the only model that actually speeds time-to-therapy

Most tools on the market give you one of three things:

A prettier work queue
A better way to assign tasks to humans
A set of integrations that work until a payer changes a portal or policy

None of those fundamentally change how fast the administrative work gets done in payer portals, faxes, and calls.

To truly speed time-to-therapy when those channels are non-negotiable, you need:

AI agents that behave like your best back-office specialists
Reading faxes, interpreting clinical notes, navigating payer portals, making phone calls, and completing forms—end-to-end.
End-to-end ownership across the specialty-drug lifecycle
Intake → benefits verification → out-of-pocket estimation → medical policy review and prior auth → claims statusing and appeals, all handled as a connected workflow, not isolated widgets.
Compliance and traceability by design
Every action logged, auditable, and aligned with HIPAA/BAA expectations—so you can defend your processes to payers, auditors, and your own compliance team.

That’s the model Mandolin is built on: “No APIs. No integrations. Every step, fully automated.”
Not because integrations don’t matter, but because relying on them alone ignores where the real work still lives.

Where Mandolin fits in: a back office full of your best employees

Mandolin was built specifically for this reality:

Automated intake and EHR entry
Reads, interprets, and acts on referrals, labs, and clinical notes—regardless of format—eliminating multi-day backlogs. One customer cut document handling from 20 minutes to ~3 minutes per document, achieving a 24x increase in speed.
Full benefits investigations and out-of-pocket estimates
Navigates payer portals, validates eligibility and coverage, and calculates patient responsibility using your site-specific fee schedules, co-pay assistance, GPO and 340B pricing, and drug acquisition costs.
Medical policy review and prior auth execution
Compares policy criteria against patient charts, compiles complete prior auth packages, and submits them through the channels payers actually require—portals, faxes, and phone calls.
Claims statusing and appeals automation
Checks payer portals or calls payers, interprets remits, and launches appeal workflows so your team isn’t chasing status for hours.

Across customers, that’s translated into:

24x speed increases in document handling
0-day prescription backlogs, down from 4 days
Scaling to 4,500+ patients/month while refocusing 13 outsourced FTEs on complex cases instead of repetitive tasks

The impact is operational and clinical: faster authorizations, fewer avoidable denials, more predictable revenue—and patients starting therapy sooner, without your staff living in permanent overtime.

Final verdict: you can’t “opt out” of portals and phone calls—so out-execute them

If your infusion center is asking how to speed up time-to-therapy while payer portals and phone calls drag everything down, the answer isn’t another dashboard or queue. It’s execution:

Turn intake into a same-day function, not a 3–4 day bottleneck
Collapse benefits and out-of-pocket work into hours, with consistent financial logic
Treat medical policy review and prior auth as one continuous, agent-driven workflow
Use automated claims statusing and appeals to prevent downstream therapy disruptions
Insist on workflows, not widgets—AI that does the back-office work end-to-end, in the channels you actually use

That’s how you materially move time-to-therapy, reduce denials, and stop hiring your way out of the problem.

Next Step

Get Started