CRM App Starter · Industry version
Healthcare CRM Template
A CRM for provider outreach — referring practices, referral volumes, and liaison visits — generated into code your organization owns.
Healthcare growth runs on referral relationships, and generic CRMs model none of it: the referring practice, the volume trend, the liaison route. This starter shapes the CRM around outreach — and keeps patient management where it belongs, in your clinical systems.
- 6 core entities
- Kanban pipeline
- Code you own
- Vibe + Governed modes
01 · The problem
Why a generic CRM falls short
In healthcare outreach the customer is a referring provider, and the deal never closes — it flows. A practice that sends twelve patients a month isn't a won opportunity to archive; it's a stream to protect. Generic CRMs record the win and go quiet, so the practice that quietly dropped from twelve referrals to four stays invisible until the quarter ends.
The field motion doesn't fit either. Liaisons run routes — primary care offices, imaging centers, discharge planners — and the visit is the atomic unit: who was seen, what was discussed, what that office needs to refer more easily. Logging it as a generic meeting against a generic company strips out the structure the territory review actually needs.
There's also a line a sales tool must not cross. Patient records belong in clinical systems with clinical safeguards, not in an outreach database — and generic CRMs, eager to hold everything, invite exactly that blurring. A referral CRM should model providers and volumes, and hand patient management to a purpose-built system.
02 · Data model
The data model, adapted
Everything in the base CRM starter —
companiescontactsleadsdealspipelinesactivities— plus the entities this industry actually runs on:
| table | what it holds |
|---|---|
referring_providers | Physicians and practices that send patients — specialty, organization, locations, and the liaison who owns the relationship. |
referrals | Referral events by provider, service line, and month — the volume ledger that trend reporting and at-risk alerts read from. |
liaison_visits | Field visits with purpose, attendees, and outcomes, tied to the provider — the structured record behind route planning. |
03 · Screens
Modules through the industry lens
Referral pipeline by practice
01Stages track relationship depth — identified, first visit, first referrals, active referrer, at-risk — rather than a purchase. The board doubles as a territory view: each liaison sees their practices sorted by where the relationship actually stands.
Trend-based scoring
02Scoring reads the referrals ledger, not just firmographics: rising senders get nurtured, decliners jump the queue. The sharpest signal in outreach is a change in slope, and here it's computed from your own tables.
Outreach reporting
03Referral volume by provider, service line, and liaison; visit activity against volume moved; concentration risk when too much depends on too few senders. The numbers a growth director presents, read live from a database you own.
04 · In practice
Workflows it models
Planning a route week
01A liaison filters their practices by last-visit date and volume trend, builds the week's route, and logs each visit with outcomes as they go. Follow-ups — send referral pads, fix a fax workflow, schedule a lunch-and-learn — queue as activities against the practice.
Catching a declining sender
02The trend report flags a practice down forty percent quarter over quarter. The timeline shows no visit in ten weeks; the liaison books one, learns scheduling wait times pushed patients elsewhere, and the fix gets logged where the whole team can see it.
Launching a service line
03New cardiology capacity means a target list: practices by specialty and geography that should be sending. A campaign of intro visits runs through the same visit records, and first-referral dates measure whether the launch actually landed.
Healthcare CRM template — frequently asked questions
Does this manage patients, appointments, or clinical records?
No, deliberately — this CRM models referring providers, referral volumes, and outreach activity. Patient records, scheduling, and visit notes belong in a clinical system; the dedicated clinic starter covers exactly that, and because both generate into code you own, they can run side by side.
Do referral counts involve protected health information?
The schema tracks volumes and provider relationships, not patient identities — counts by provider, service line, and month. What you feed it stays under your control because the code and the deployment are yours; the security page covers how governed deployments enforce that boundary.
Can it import referral data from our EHR or claims reports?
Yes — the referrals table has a plain relational shape, so a monthly import from EHR reports or claims extracts is a normal engineering job against your own schema, and every trend report updates the moment the rows land.
Who is this healthcare CRM for?
Any organization that grows on referrals and runs outreach to earn them: hospital service lines, home health and hospice agencies, imaging centers, physical therapy groups, specialty practices. If you employ a liaison, this is the system of record for their work.
Related
Dual7 App Starters
Build your Healthcare CRM on your terms
A CRM for provider outreach — referring practices, referral volumes, and liaison visits — generated into code your organization owns. Describe your version to start — the output is a project you own.