Built for healthcare industry organizations

The CRM that handles PHI with a BAA, not a prayer.

Healthcare industry work is referral driven, outreach heavy, compliance sensitive, and audit scrutinized. Strkr ships a CRM core shaped around referral sources, patient segments, care-coordination tasks, and documented consent with HIPAA BAA available on request.

What this audience is actually dealing with

The pains that bring buyers here.

A generic sales CRM assumes a linear funnel from lead to close. Healthcare operations run a loop: referral intake, benefits verification, scheduling, encounter, follow-up, outreach, re-engagement. The pain points below are the ones Strkr onboarding hears from clinics, group practices, provider networks, DME suppliers, home-health agencies, and payer-adjacent organizations on every intake call.

The referral is not a deal

A pipeline stage does not fit a referral motion.

A referral runs from source submission, through benefits verification, scheduling attempt, intake, encounter, and post-encounter outreach. The stages are gated by consent, insurance verification, and provider availability, which are not sales stages. Strkr models the referral as a first-class object with lifecycle gates, referral source, priority, benefits status, and care coordinator assignment.

Protected health information everywhere

PHI touches every record and most emails.

Patient names, dates of birth, diagnosis codes, insurance IDs, and treatment notes count as PHI. A CRM that treats them like generic fields exposes the practice to HIPAA violation and civil penalty. Strkr tags PHI-bearing fields with a classification level and scopes AI retrieval, exports, and third-party integrations against the classification by default. The admin can tune per role and per workflow.

Vendor BAA gating at Enterprise tier

Most CRMs lock HIPAA to a six-figure contract.

HubSpot, Salesforce, and Zoho ship HIPAA posture as a gated capability on the top tier with a minimum seat count or minimum annual commit. For a 14-provider practice that math is painful. Strkr offers the BAA on request, which keeps the compliance posture available for organizations of any size without an enterprise gate.

Referral source attribution

Who sent you the last 40 patients, and why.

A clinic typically pulls referrals from physician offices, urgent-care partners, employer wellness programs, specialty networks, and inbound patient self-referral. The CRM that cannot attribute volume per source cannot run a growth program. Strkr tracks referral source as a first-class dimension with volume, conversion, show-rate, and lifetime revenue per source, and exposes the view to the referral marketer and the practice administrator.

Audit trail for OCR and payer audits

HHS Office for Civil Rights wants the record.

A HIPAA audit, a payer audit, or an internal compliance review examines who accessed which record, when, and for what purpose. A CRM that cannot produce that record creates liability. Strkr audit log records every record read, write, export, AI call, and email send with a 90-day default retention tunable per tenant to the ceiling the compliance officer prefers.

Appointment no-show cost

The 20 percent no-show rate that eats margin.

Scheduled appointments that no-show cost a typical specialty clinic $180 to $400 per slot in idle provider time. Strkr runs an outreach cadence per patient segment (text reminders 48 hours out, 24 hours out, 2 hours out) with HIPAA-safe content templates that reference the appointment without leaking PHI to carriers. Clinics on Strkr report no-show rates landing 4 to 7 percentage points lower in the first quarter.

The healthcare schema

Objects shaped like clinic operations.

The default sales CRM schema has account, contact, and deal. Clinic operations need patient, encounter, referral, consent, and care task. Strkr ships a tunable healthcare schema that lands close to where most organizations settle. The admin can rename or extend anything, but the default removes the first two weeks of schema modeling that most CRM rollouts eat.

Patient object

Identity, consent, insurance, segment.

A patient in Strkr carries demographic identity, consent-on-file flag, insurance payer and plan, patient segment (new, active, lapsed, outreach-only), primary care coordinator, and encounter history pointer. The schema drives AI retrieval scope and audit log classification automatically.

Referral object

Source, priority, benefits, assignment.

A referral ties to the patient and defines source (physician office, urgent care, inbound, insurance), priority (routine, expedited, urgent), benefits verification status, scheduling attempt log, and assigned care coordinator. The referral drives the triage view and the outreach cadence.

Encounter object

Date, provider, type, outcome.

An encounter captures date, provider, encounter type (consultation, procedure, follow-up, telehealth), payer attribution, and outcome notes. The encounter object is the hinge for post-encounter outreach and the lifetime-value calculation per referral source.

Consent object

Scope, timestamp, documented signature.

Consent for communication, treatment, and data use carries scope, timestamp, documented signature source, and expiration where applicable. The consent object gates the outreach cadence and the AI retrieval scope on a per-patient basis.

Care task object

Follow-up, lab, referral out, insurance.

Care tasks tie to the patient and the encounter with task type, due date, assigned staff, and completion status. The task view runs the daily huddle for the care coordinator team.

Referral source object

Clinic, physician, employer, payer.

Referral sources carry name, type, relationship owner, volume by month, conversion by month, and lifetime revenue. The source object drives the referral marketer dashboard and the growth team scorecard.

Note type taxonomy

Clinical, administrative, patient communication.

Notes on a patient record carry a type (clinical observation, administrative, patient communication, internal). The taxonomy drives audit log retention, AI retrieval scope, and patient-portal visibility rules automatically.

HIPAA posture that scales down

What the BAA covers and what it does not.

Strkr is HIPAA compliant with a BAA available on request. The capability does not require an Enterprise commitment, which is where most mid-market vendors gate it. The cards below show the posture in concrete terms.

BAA on request

A real document, countersigned, within three business days.

The Strkr compliance team sends a standard BAA on request. The document covers subcontractor flow-down, breach notification, data use restriction, and termination rights. Most organizations countersign within three business days with no redline required. The BAA attaches to the Pro or Scale subscription and remains in effect for the life of the agreement.

PHI field classification

A tagged field, not a prayer.

The schema tags PHI-bearing fields (patient identifiers, diagnosis codes, treatment detail, insurance IDs) with a classification level. Exports strip PHI by default unless the admin role explicitly includes PHI export. The AI retrieval scope respects the classification, which keeps the AI output from leaking patient detail into cross-record retrieval.

Audit log for OCR

Record read and write with retention.

Every record read, write, export, email send, and AI call writes to the audit log with user, timestamp, record ID, and action. The default retention is 90 days, tunable to six years to match the HIPAA minimum retention for most record types. The compliance officer can export the audit log for an OCR audit or an internal review.

Role-based access

Who sees what, documented.

The role matrix lets the practice administrator scope access by patient segment, encounter type, and note type. A billing clerk sees the insurance detail and the invoice history, not the clinical note. A care coordinator sees the full patient record. A front-desk receptionist sees the appointment and the demographic record, not the diagnosis.

Encryption and key management

At rest and in transit, with KMS.

Tenant data lives encrypted at rest with AWS KMS keys, and traffic runs TLS 1.3 end to end. Integration tokens (insurance clearinghouse, email, text) live in AWS Secrets Manager with per-tenant isolation. The compliance officer can request the SOC 2 Type I report today, with Type II target 2026-Q4.

Subcontractor transparency

A short list, documented.

The subprocessor list runs about seven entries and includes AWS, Clerk for authentication, Stripe for billing, and the hosting layer. Each subprocessor has a signed BAA where PHI touches the service. The list is public on request and the compliance officer sees additions with 30 days notice.

Patient communication guardrails

Text and email templates that do not leak.

The outreach cadence runs on HIPAA-safe content templates. A text reminder references the appointment time and clinic name without leaking diagnosis, provider specialty, or treatment context. Email templates include the standard HIPAA disclosure. The admin can review and tune every template before deployment.

How Strkr AI drafts in a clinical voice

AI jobs that fit healthcare operations.

Healthcare AI cannot sound like a chatbot and cannot leak PHI. Strkr AI drafts in a clinical, patient-respectful tone with retrieval scope strictly scoped to the active patient record. The buyer never picks a model, never configures a provider.

Referral intake summary

The post-call recap for the care coordinator.

After a referral intake call Strkr AI drafts a summary with chief complaint, referral source, benefits status, and recommended scheduling priority. The care coordinator reviews and routes to the appropriate provider. The summary stays scoped to the patient and does not reference other records.

Appointment reminder

The friendly nudge 48 hours out.

Strkr AI drafts the text and email reminder with appointment time, clinic location, and any pre-visit instruction from the care protocol. The content respects HIPAA templates and never leaks diagnosis to the carrier. The care coordinator approves a batch of reminders in minutes rather than typing each one.

Post-encounter followup

The next-day touch after a procedure.

After a procedure encounter Strkr AI drafts a followup email or text with recovery instructions pulled from the care protocol, a check-in question, and the number to call for issues. The clinical lead approves the batch of followups and sends. Patient satisfaction scores lift because the touch arrives when the patient actually has questions.

Referral source thank-you

The quarterly relationship touch.

Strkr AI drafts a quarterly thank-you note to each physician referral source with volume reference, average benefit response time, and any clinic update that is relevant to the referring physician. The referral marketer approves and sends. Referral relationships warm because the clinic shows the physician that their referrals matter.

Patient segment outreach

The lapsed-patient re-engagement.

For patients who have not had an encounter in 12 months Strkr AI drafts a re-engagement email referencing their last visit type and inviting them back for a wellness check or follow-up. The segment runs through a batched approval before send. Clinics on Strkr see 11 to 18 percent of a lapsed segment re-engage within 60 days.

Internal care team note

The handoff from front desk to coordinator.

When a patient calls with a complex scheduling need Strkr AI drafts an internal note summarizing the call and routing the task to the care coordinator with recommended next action. The receptionist approves and the coordinator receives the context in their task queue instead of a voicemail.

Payer appeal letter draft

The denial-response first draft.

For denied claims Strkr AI drafts an appeal letter referencing the encounter record, the clinical justification, and the payer-specific policy citation. The billing specialist tunes two sentences and sends. Appeal response rate lifts because the letters go out same-week instead of lingering in a drafts folder.

The clinic operations cockpit

A view the practice administrator can run from.

The practice administrator and the referral marketer need different cockpits, and Strkr ships both. The cards below show the daily and weekly views each role actually runs from.

Daily huddle view

The 7 am scan before the clinic opens.

The daily huddle view surfaces today's appointments with pre-visit status, outstanding benefits verifications, care tasks due today, and no-show risk flags. The practice administrator and the care coordinator team scan the view in 10 minutes before the first appointment of the day.

Referral growth scorecard

Volume per source per month.

The referral marketer dashboard shows referral volume per source, month over month, with conversion to encounter and lifetime revenue per source. The scorecard drives the quarterly physician relationship cadence and the growth team planning.

No-show prediction

The patients at risk this week.

Strkr AI flags no-show risk per upcoming appointment based on prior no-show history, time since last encounter, and segment. The care coordinator can target intervention (confirm call, reschedule offer) on the top-risk 11 to 18 appointments without manually scanning the week.

Benefits verification queue

Insurance checks outstanding.

A dedicated queue surfaces benefits verifications waiting on payer response, with age and expected response window. The billing team works the queue to clear the pre-visit insurance gate before the appointment.

Lapsed patient segment

Who to re-engage this quarter.

The lapsed segment view shows patients with no encounter in 12 months grouped by prior encounter type and payer. The outreach lead picks a batch to re-engage, Strkr AI drafts the batch of emails, and the practice administrator approves before send.

Compliance review

Audit log scan for the compliance officer.

The compliance officer runs a monthly audit log scan filtered by role, record type, and action. The view surfaces unusual access patterns (a receptionist reading clinical notes, an export of a patient segment) for review. The posture catches most compliance issues before they become OCR letters.

Head-to-head

Strkr vs a general sales CRM for a healthcare clinic.

Most clinics try a general CRM once and bounce because the HIPAA posture is gated and the schema does not fit clinic operations. The comparison below is Strkr's healthcare posture versus a generic sales CRM applied to the same clinic.

Feature Strkr Generic sales CRM for a clinic
BAA tier availability Available on request at Pro tier. Enterprise tier only, minimum commit.
Patient as first-class object With consent, insurance, segment. Contact with manual field workarounds.
PHI field classification Tagged, with export and AI scoping. Treated as generic text.
Referral source attribution Volume, conversion, lifetime revenue. Lead source as a single picklist.
Appointment reminder cadence HIPAA-safe templates, 48/24/2 hour. Generic text templates, PHI risk.
Audit log retention 90 days default, tunable to six years. 30 days typical, partial coverage.
Benefits verification queue First-class with payer response tracking. Task-based workaround.
AI retrieval PHI scope Patient-scoped by default. Cross-record retrieval by default.
Subprocessor transparency Short list, public on request. Long list, enterprise-only disclosure.
How teams use Strkr

Five healthcare organization playbooks.

The playbooks below are patterns Strkr's onboarding team sees across healthcare deployments, from solo practices to multi-location provider networks.

Pattern A

The 14-provider specialty clinic.

A 14-provider specialty clinic in Nashville ran its referral intake in a shared Google Sheet with a copy-paste email reminder workflow. The no-show rate ran 22 percent, which cost the clinic roughly $18,000 per month in idle provider time. Strkr onboarding ran a 16-business-day migration. The BAA signed in week one. The appointment reminder cadence (48, 24, 2 hour) and the HIPAA-safe templates landed on day one. By month four the no-show rate landed at 15 percent and the clinic recovered about $5,600 per month in provider time.

Pattern B

The 42-location DME supplier.

A 42-location durable medical equipment supplier ran a legacy practice management system that could not handle referral attribution across 11 physician partners per market. Strkr onboarding ran a 28-business-day migration consolidating the referral tracking, benefits verification queue, and payer appeal workflow into Strkr. The compliance officer countersigned the BAA on day one and the audit log retention set to six years. Referral volume lifted 23 percent in the first full year because the growth team finally had attribution.

Pattern C

The home-health agency with 180 patients.

A home-health agency serving 180 active patients across a two-county service area ran a tangle of Outlook calendars, Excel spreadsheets, and paper encounter notes. Strkr onboarding ran a 14-business-day migration. The care task object replaced the paper handoff. The clinical lead approved post-encounter followup drafts in batches of 20. Patient satisfaction scores lifted eight points on the quarterly survey, and the agency added 42 new patients in the first six months because the referral physicians finally got timely post-encounter communication.

Pattern D

The telehealth-first behavioral health group.

A behavioral health group running 85 percent telehealth needed a CRM that handled remote consent, insurance verification across 11 state payer networks, and lapsed-patient re-engagement. Strkr onboarding ran a 22-business-day migration configuring per-state consent templates and the lapsed-patient outreach cadence. The AI drafted re-engagement emails that respected clinical boundaries. 14 percent of the lapsed segment re-engaged in the first quarter, which was the biggest patient-growth lever the group had hit in two years.

Pattern E

The employer wellness program with 2,400 covered lives.

An employer-facing wellness program serving 2,400 covered lives across six employer contracts needed a CRM that tracked program enrollment, encounter attendance, outcome metrics, and employer-level reporting. Strkr onboarding ran a 24-business-day migration configuring the custom-object schema for program, cohort, and outcome, plus the per-employer reporting view. The program director ran board reporting from Strkr instead of rebuilding slides monthly, and the program renewed with all six employer partners the following year.

Run healthcare operations on a CRM shaped for clinic work.

Book a 30 minute call. We will walk through the healthcare schema, the BAA process, the HIPAA-safe reminder cadence, and the referral growth scorecard with your actual service lines.

Common questions

What buyers in this bucket ask most.

Does Strkr sign a HIPAA Business Associate Agreement?

Yes. Strkr is HIPAA compliant with a BAA available on request. The compliance team sends a standard BAA, and most organizations countersign within three business days with no redline required. The BAA covers subcontractor flow-down, breach notification within the HIPAA-required timeline, data use restriction, and termination rights. The compliance officer can request the SOC 2 Type I report today and the Type II report is in progress with a target of 2026-Q4.

Can Strkr integrate with our EHR or practice management system?

Strkr integrates with every major EHR and practice management system through its standard webhook spec with HMAC signing and the published OpenAPI spec. The typical setup pulls patient demographics and encounter history into Strkr while the EHR stays as the production system for clinical note documentation. For Epic, Cerner, Athenahealth, Elation, and DrChrono the integration lands in an engineering sprint of one to three weeks. The result is bi-directional sync between the CRM and the EHR without a full EHR replacement.

How does Strkr scope AI retrieval to prevent PHI leakage across patients?

Strkr AI runs with retrieval scope strictly scoped to the active patient record by default. Cross-patient retrieval is disabled unless the admin role explicitly enables it for a workflow (for example, cohort analysis for a research protocol). The AI calls do not train on tenant data, and the audit log captures every AI call with timestamp, patient context, and user. For organizations with heightened PHI concerns the retrieval scope can tighten further to exclude specific field types from any AI call.

What does Strkr cost compared to Salesforce Health Cloud or HubSpot for healthcare?

Strkr runs flat per seat at $29 on Starter, $59 on Pro, and $119 on Scale per user per month, with a 14-day trial. For a 20-provider clinic on the Pro tier the monthly spend lands at $1,180 per month for seats plus the optional $49 AI Enhancement add-on, which includes 5,000 AI calls per month. Salesforce Health Cloud typically prices $150 to $300 per user per month on an annual commit, HubSpot Enterprise with Healthcare add-ons runs similar. The feature overlap on clinical workflow is 70 to 80 percent, and Strkr adds a flat-fee AI capability with the BAA on request.

How does Strkr handle appointment reminders without leaking PHI through text or email?

The appointment reminder templates reference the appointment time, clinic name, and location without mentioning diagnosis, provider specialty, or treatment context. Text reminders go through the Strkr Messaging layer at 2 cents per SMS and 5 cents per MMS. The templates include the standard HIPAA minimum necessary disclosure, and the admin can review and tune every template before deployment. Patients who opt into clinical-detail reminders can receive richer content, but the default template respects the minimum necessary standard.

What is the subprocessor list for a HIPAA-covered deployment?

The Strkr subprocessor list runs about seven entries and includes AWS as the hosting layer, Clerk for authentication, Stripe for subscription billing, and a short list of operational services. Each subprocessor that touches PHI has a signed BAA. The compliance officer can request the current list and signs up for 30-days notice on additions. The transparency posture matches what mid-market healthcare buyers typically need to clear their internal compliance review in the first quarter of deployment.

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