Built for specialty medical and professional practices

The CRM that knows a referral is not a lead, and a patient outcome is the real conversion.

Specialty practice work is referral driven, outcome measured, and compliance aware. Strkr ships a CRM core shaped around patients, referrals, outcomes, insurance pre-authorization, and provider utilization with AI drafting that respects attorney-grade confidentiality and HIPAA.

What this audience is actually dealing with

The pains that bring buyers here.

A general-purpose sales CRM assumes a linear funnel from cold lead to closed deal. A specialty practice does not work that way. The patient relationship runs across referral, intake, pre-authorization, consult, treatment plan, procedure, follow-up, and outcome. The pain points below are what Strkr onboarding hears on every intake call with a specialty practice, from a solo chiropractor to a 42-provider orthopedic group.

Referral source attribution

The referring provider never gets the loop-back.

A specialty practice gets 60 to 80 percent of its new patients from referring providers (primary care, physical therapists, chiropractors, other specialists). The thank-you note and the outcome loop-back rarely happen because the practice management system does not surface referral source and nobody owns the follow-up. Strkr tracks referring provider as a first-class object with volume history, outcome summary, and automated thank-you cadence that Strkr AI drafts in the practice voice.

Pre-authorization bottleneck

Insurance pre-auth kills the first consult window.

For specialty procedures the insurance pre-authorization step takes 7 to 21 business days and lives in a staff member spreadsheet. Patients who should start treatment in week two actually start in week five. Strkr tracks pre-authorization as a workflow with payer, procedure code, submitted date, follow-up cadence, and approval status. Strkr AI drafts the appeal letter when the first submission is denied, which lifts the first-pass approval rate from a typical 68 percent to roughly 86 percent.

Outcome capture is manual

The patient-reported outcome lives in a paper form.

Specialty practices increasingly measure outcomes (pain score, function score, PROMIS, Oswestry, DASH) because payers want them and because they drive clinical decision-making. The outcome usually sits on a paper form or in a side spreadsheet. Strkr pulls the outcome form through a web intake, prints the trend line on the patient card, and triggers a provider review when the trend reverses.

No-show and reschedule chaos

A single missed visit cascades across the plan of care.

A patient on a 12-visit treatment plan who misses visit four pushes the plan by two weeks on average because the reschedule logic is manual. Strkr surfaces the missed visit automatically, drafts the reschedule outreach, and flags the plan-of-care impact so the provider can decide to compress or extend. The no-show rate on well-run reminder cadences lands around 4 percent, down from a typical 11 percent.

HIPAA posture under scrutiny

The AI drafting cannot leak protected health information.

Attorney-grade confidentiality applies to a specialty practice through HIPAA. AI drafting that pulls from other patients, external sources, or unscoped retrieval violates the posture. Strkr AI runs with retrieval scope strictly bound to the patient and the practice, with cross-patient retrieval disabled by default. BAA available on request with no tier gate.

Multi-location visibility

The practice administrator cannot see across sites.

A specialty group running three to 22 clinic locations wants a single view of provider utilization, pre-auth bottleneck by site, and outcome variability by provider. Practice management tools surface the data per location and leave the roll-up to the administrator. Strkr role model gives the practice administrator a cross-site cockpit while preserving provider autonomy at the clinical level.

The specialty practice schema

Custom objects shaped like specialty care.

The default CRM schema does not map to specialty practice work. Strkr ships a tunable specialty schema with Patient, Referring Provider, Episode of Care, Pre-authorization, Outcome Measure, and Treatment Plan as first-class objects. The administrator can rename or extend anything. The default lands close to where most specialty groups eventually settle.

Patient object

Demographics, payer, episode history, outcome trend.

A patient in Strkr carries demographics (name, date of birth, contact), payer (primary insurance, secondary, workers comp, cash pay), episode history, outcome trend, and provider affinity. The schema drives the correct intake form, the correct pre-authorization workflow, and the correct AI retrieval scope.

Referring provider object

Specialty, volume history, outcome summary.

Referring providers (primary care, physical therapists, chiropractors, other specialists) carry specialty, referral volume by month, outcome summary of patients referred, and relationship tier. The provider card drives the thank-you cadence, the outcome loop-back letter, and the quarterly relationship touch.

Episode of care object

Diagnosis, treatment plan, visit count, outcome.

An episode of care ties to the patient and defines diagnosis (ICD-10), treatment plan (procedure codes, visit count target, expected duration), active provider, status (active, on hold, completed, discharged), and outcome. The episode drives the plan-of-care tracking and the outcome capture cadence.

Pre-authorization object

Payer, procedure, submitted, approved, denied.

Pre-authorization ties to the episode of care with payer, procedure code, submitted date, approval status (pending, approved, denied, appeal in progress), approval number, and expiration date. Strkr drives the follow-up cadence on pending authorizations and the appeal workflow on denials.

Outcome measure object

Baseline, serial, final, trend direction.

Outcome measures (pain score, function score, PROMIS, Oswestry, DASH, Harvard Step Test) capture baseline, serial measurements, final measurement, trend direction, and clinical interpretation. The outcome card surfaces reversed trends automatically so the provider can intervene before the discharge note.

Treatment plan object

Protocol, visit count, modality, provider.

The treatment plan ties to the episode of care and defines the protocol (procedure codes, modalities, exercise prescription, home program), total visit count, visits completed, assigned provider, and expected duration. The plan drives the schedule template and the no-show reschedule logic.

Discharge summary object

Outcome, loop-back to referring, next step.

The discharge summary captures the final outcome measure, the plan-of-care adherence, the loop-back letter to the referring provider, and the recommended next step (self-manage, maintenance, surgical referral, continued care). Strkr AI drafts the summary from the episode history and the clinician approves and signs.

How Strkr AI drafts in a clinical voice

AI jobs that fit a specialty practice.

A specialty practice cannot ship AI-drafted patient communication that reads like a chatbot or an insurance call center. Strkr AI drafts in a professional clinical voice with no vendor-brand chrome in the output. The jobs below show up on every specialty practice deployment within the first two weeks. The AI add-on runs at $49 per month per workspace with 5,000 Strkr AI calls included.

Referring provider thank-you

The warm acknowledgment at day 1.

Within 24 hours of a referral intake Strkr AI drafts a thank-you note to the referring provider confirming receipt, the appointment date, and the point of contact. The practice administrator approves a batch of 20 notes in roughly 11 minutes. Referral retention from the top 10 referring providers lifts by about 18 percent on well-run practices.

Pre-auth appeal letter

The first-denial response that lands.

When insurance denies the first pre-auth Strkr AI drafts the appeal letter citing the clinical rationale, the procedure codes, the medical necessity narrative, and the supporting outcome data. The provider approves and the staff submits. First-pass appeal approval climbs from a typical 42 percent to roughly 68 percent on well-tuned practices.

Outcome loop-back

The discharge letter to the referring provider.

On patient discharge Strkr AI drafts the loop-back letter summarizing the diagnosis, treatment plan, outcome measure trend, and recommended follow-up. The provider approves and signs. The referring provider sees that the referral produced a measurable outcome, which cements the referral relationship.

No-show reschedule

The warm note at hour 2 post-missed visit.

When a patient misses a visit Strkr AI drafts a reschedule outreach note referencing the plan of care, the next recommended visit, and the available slots. The front desk approves and sends within two hours of the missed visit. Reschedule rate on missed visits lifts from a typical 54 percent to roughly 78 percent.

Treatment plan check-in

The halfway-point patient note.

At the halfway point of a treatment plan Strkr AI drafts a check-in note to the patient asking about progress, remaining concerns, and expectations. The provider approves. The patient feels engaged, the practice captures a lightweight outcome signal, and the plan-of-care completion rate climbs.

Insurance verification

The pre-visit coverage summary.

Before the first visit Strkr AI drafts a coverage summary for the patient (deductible met, co-pay, co-insurance, visit cap, expected out-of-pocket) based on the pre-authorization and benefits data pulled through the clearinghouse webhook. The patient sees the financial reality before the visit, which cuts the surprise-bill complaints to near zero.

Discharge summary

The clinical narrative with retrieval citations.

The discharge summary draft lands with retrieval citations pointing to the baseline outcome, the serial measurements, the plan-of-care adherence, and the final outcome. The clinician reviews, edits two or three sentences on average, and signs. The summary routes to the referring provider and the patient chart automatically.

The specialty practice reporting cockpit

What the practice administrator actually needs to see.

A specialty practice administrator spends Monday morning rebuilding reports in Excel at most practices. Strkr ships the reports that matter as a single-page cockpit refreshed on event trigger. The cards below are what the cockpit surfaces by default.

Referral volume by provider

Who sent and who stopped sending.

The referral cockpit shows the top 25 referring providers by volume for the trailing 12 months, the trend direction (growing, flat, declining), and the days since last referral. Providers who stopped sending surface for a relationship touch before the referral tap runs dry.

Pre-auth bottleneck

What is stuck and who is waiting.

The pre-authorization cockpit shows pending authorizations by age (0 to 7, 8 to 14, 15 to 21, 21 plus days), by payer, and by procedure. The 21-plus bucket is where the practice loses first-visit windows. The administrator can triage the list and reassign stuck cases.

Provider utilization

Hours scheduled, hours delivered, hours lost.

The provider utilization cockpit shows each clinician scheduled hours, delivered hours, no-show hours, and the resulting utilization percentage. The target is 85 to 92 percent utilization. Providers below target get a schedule tune, providers above target get a capacity conversation.

Outcome trend by diagnosis

Which conditions respond and which stall.

The outcome cockpit groups episodes by diagnosis (ICD-10) and shows the average outcome improvement, the variability, and the completion rate. The administrator can see that lumbar herniation responds in 8.4 visits on average while rotator cuff repair takes 14.2, which drives the schedule template and the plan-of-care expectation setting.

Payer mix and reimbursement

Where the money comes from and when.

The payer cockpit shows net reimbursement per visit by payer, days to pay, and denial rate. Payers that pay poorly or deny often surface for a contract renegotiation conversation. The practice stops subsidizing the slow payers out of ignorance.

Patient retention

Episode completion, discharge type, maintenance uptake.

The retention cockpit shows episode completion rate, discharge type (self-manage, maintenance, surgical referral, drop-out), and maintenance program uptake. Drop-out episodes trigger a provider review because they usually point to a plan-of-care problem or a payment surprise.

Head-to-head

Strkr vs a generic practice management tool.

Most specialty practices run a practice management tool for scheduling and billing (Kareo, athenahealth, DrChrono, WebPT) plus a side spreadsheet for everything the PM tool does not cover. The comparison below is Strkr specialty posture versus the PM-tool-plus-spreadsheet pattern.

Feature Strkr PM tool plus side spreadsheet
Referring provider as first-class Volume, outcome, relationship tier on card. Text field with no history.
Pre-authorization workflow Payer, procedure, status, appeal cadence. Spreadsheet with manual follow-up.
Outcome measure capture Web intake with trend line on card. Paper form or side spreadsheet.
Referral thank-you cadence Automated with Strkr AI drafting. Manual or skipped.
Discharge loop-back Auto-drafted with outcome summary. Manual letter if remembered.
HIPAA BAA Available on request, no tier gate. Usually included at base.
Audit log retention 90 day default, tunable to bar ceiling. Varies by vendor.
Multi-location roll-up Regional cockpit with permission scoping. Single-location view only.
AI drafting with scoped retrieval Patient-scoped only by default. Not offered.
Pricing per seat per month $29 to $119 flat. $150 to $400 per provider.
How teams use Strkr

Five specialty practice playbooks.

The playbooks below are patterns Strkr onboarding sees on specialty practice deployments, from solo providers to multi-location groups.

Pattern A

The solo chiropractic practice.

A solo chiropractor in Denver ran scheduling in ChiroTouch and tracked outcomes on a paper form. The thank-you note to referring physical therapists never happened consistently. Strkr onboarding ran a nine-business-day migration with the referring-provider workflow, the outcome web intake, and the discharge loop-back as the three day-one deliverables. Referrals from the top five PT practices lifted by 24 percent in the first six months.

Pattern B

The eight-provider orthopedic group.

An eight-provider orthopedic group in Nashville ran athenahealth for the PM core and a Google Sheet for pre-auth tracking. The 21-plus-day bucket of pending authorizations was eating first-visit windows. Strkr onboarding configured the clearinghouse webhook, the pre-auth workflow, and the appeal letter Strkr AI prompt in 14 business days. The 21-plus bucket dropped from 38 pending auths to seven in the first month.

Pattern C

The functional medicine clinic.

A functional medicine clinic in Austin served cash-pay patients on 12-week programs with heavy outcome measurement. The outcome capture ran on paper. Strkr onboarding built a web intake form keyed to the program protocol, pushed the outcome trend into the patient card, and configured the halfway-point check-in Strkr AI prompt. Patient program completion lifted from 68 percent to 84 percent in the first full quarter.

Pattern D

The 22-location physical therapy group.

A 22-location physical therapy group in the Southeast ran WebPT for the PM core and a tangle of Excel for regional reporting. The regional director rebuilt the roll-up every Monday morning. Strkr onboarding ran a 32-business-day migration with the regional cockpit live by day 18, the referring-provider workflow by day 22, and the full cutover on day 32. The Monday Excel rebuild closed entirely.

Pattern E

The concierge primary care practice.

A concierge primary care practice in Palo Alto served 240 members at $5,400 per year. The member relationship intensity sat somewhere between a specialty practice and a private banking relationship. Strkr onboarding configured the member workflow, the annual physical cadence, and the specialty referral tracking in 11 business days. Member retention sat at 94 percent in the first year, which is five points above the national concierge primary care benchmark.

Run your specialty practice on a CRM shaped for referral and outcome work.

Book a 30 minute call. We will walk through the specialty schema, the pre-auth workflow, the outcome capture, and the referring-provider cadence with your actual PM tool and provider roster.

Common questions

What buyers in this bucket ask most.

Does Strkr integrate with athenahealth, Kareo, DrChrono, WebPT, or ChiroTouch?

Strkr integrates with every major practice management tool through its REST and GraphQL API, outbound webhooks with HMAC signing, and a published OpenAPI spec. The integration ties the patient demographics, episode of care, visit history, and billing state back to the Strkr patient card. For a solo provider the webhook configuration lands in a few hours. For a multi-location group it usually takes an engineering sprint of one to two weeks.

How does Strkr handle HIPAA for a specialty practice?

Strkr is HIPAA compliant with a BAA available on request. There is no tier gate for the BAA, which keeps specialty practices on the standard plan unless they want the Scale tier features. The AI calls run with retrieval scope limited to the patient and the practice by default, and cross-patient retrieval stays disabled. The audit log captures every record read, write, email send, and AI call with retention tunable per tenant. SOC 2 Type II is in progress with a 2026-Q4 target.

Can Strkr handle pre-authorization appeals for insurance denials?

Yes. Strkr tracks pre-authorization as a workflow with payer, procedure, submitted date, status, and approval number. On a first-pass denial Strkr AI drafts the appeal letter citing clinical rationale, procedure codes, medical necessity narrative, and supporting outcome data. The provider reviews and the staff submits. First-pass appeal approval on well-tuned practices lands around 68 percent, up from a typical 42 percent.

What does Strkr cost compared to a dedicated specialty CRM or practice management add-on?

Strkr prices flat per seat at $29 on Starter, $59 on Pro, and $119 on Scale per user per month. A dedicated specialty CRM add-on typically runs $90 to $240 per provider per month layered on top of the PM subscription. Strkr sits alongside the PM tool rather than replacing the billing and scheduling core. Practices usually keep the PM for scheduling and claims and run Strkr for referral tracking, pre-auth workflow, outcome capture, and relationship cadence.

Can we see outcome variability by provider or by diagnosis?

Yes. The outcome cockpit groups episodes by diagnosis (ICD-10) and by provider and shows average outcome improvement, variability, and completion rate. The administrator can see that lumbar herniation responds in 8.4 visits on average while rotator cuff repair takes 14.2, and that provider A completes episodes in 9.1 visits while provider B takes 11.8. The data drives the schedule template, the plan-of-care expectation setting, and the provider coaching conversation.

How long does onboarding take for a specialty practice?

For a solo provider onboarding runs eight to 12 business days. For a mid-size multi-provider practice it runs 12 to 18 business days. For a multi-location group of three to 22 locations it runs 24 to 42 business days. The sequence is discovery, schema model, PM-tool webhook configuration, pilot cohort at one site, referring-provider workflow, pre-auth workflow, outcome capture setup, and then full roll-out. Strkr onboarding team runs the implementation inside the subscription.

Does Strkr support SMS reminders for specialty practice visits?

Yes through Strkr Messaging. SMS runs at 2 cents per message and MMS at 5 cents per message. Visit reminders, pre-auth status updates, and outcome form prompts can all go out as SMS, email, or both. Strkr Messaging ships with HIPAA posture (SMS content stays short and non-PHI by default, with configurable content rules per workflow), 10DLC compliance support, STOP keyword handling, and quiet-hour windows configured per tenant.

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