HealthcareComplex automationSeveral jobs working together: multi-stage pipelines with state, branching on rules or AI decisions, approvals or escalations, 4+ systems, AI agents that act, or reconciliation across sources. Usually rolled out in stages.

Referring doctors tracked, thanked, and growing

For: Diagnostic imaging network

Typical impact

Referral volume up 28% in two quarters

Every incoming referral is attributed to its source physician the moment it arrives, feeding live dashboards of volume and trends. Referrers get monthly thank-you summaries, and when a regular sender starts cooling, the system flags them for a personal outreach call.

Typical results

100%

Referrals attributed to source

12

Cooling referrers re-engaged

175

Extra studies per month

Figures reflect typical results for this kind of automation.

The challenge

Referring physicians were the imaging network's entire revenue engine, and nobody was watching them. Referrals arrived by fax and portal with no attribution, so a cardiologist who quietly moved his patients to a competitor went unnoticed for months. Thank-yous never happened, and marketing spent on billboards while the real channel eroded.

Before and after

Before With the automation

Referrals per month

+28%
620 referrals
795 referrals

Referrers going quiet per quarter

−71%
14 referrers
4 referrers

Referrals attributed to source

3.3×
30%
100%

The automation

We built an attribution layer that parses every incoming referral — fax, form, or portal — and matches it to the source physician in a referrer database. Live dashboards show each referrer's volume, modality mix, and trend against their own baseline. Each month, every active referrer receives an automated thank-you summary of their patients' completed studies, and when the engine detects a sustained drop, that referrer lands on the liaison's call list with full history attached.

How it works

  1. 01

    Referral attributed

    Every referral — fax, form, or portal — is parsed and matched to its source physician.

  2. 02

    Dashboards update

    Volume, modality mix, and trends per referrer refresh live against each baseline.

  3. 03

    Monthly thank-you

    Each active referrer gets an automated summary of their patients' completed studies.

  4. 04

    Cooling detected

    A sustained drop against baseline flags the referrer before the relationship goes cold.

  5. 05

    Personal outreach

    Flagged names land on the liaison's call list with the full referral history attached.

Starts from

  • Incoming referrals
  • Scheduling system

Delivers

  • Live referrer dashboards
  • Monthly thank-you summaries
  • Cooling-referrer alerts

The impact

Referral volume typically grows around 28% over two quarters — from roughly 620 to 795 studies a month — with cooling referrers re-engaged by a single well-timed call each. Every referral is attributed, the monthly summaries help referrers feel like partners, and marketing spend can shift away from billboards.

Questions about this automation

How are referrals attributed when they arrive by fax?

Faxed referrals are read with OCR, while form and portal referrals are parsed directly. The referring physician's details are matched to an entry in the referrer database, and new physicians are added automatically. Each referral is then linked to the scheduled study, so volume and modality mix are counted per referrer.

How does the system detect a referrer who is cooling off?

Each referrer's volume is compared with their own baseline over a rolling window. A sustained drop, rather than one quiet week, flags that referrer and adds them to the liaison's call list with their full referral history attached, so the outreach call starts with the facts in hand.

What do referring physicians receive?

Each month, every active referrer gets an automated email summary of their patients' completed studies. It keeps the relationship visible without manual work from the liaison. This is a multi-step build, usually rolled out in stages, starting with attribution and the dashboard and adding the summaries and cooling alerts after.

Healthcare

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