A health CRM where PHI handling, consent capture, and audit depth are architectural concerns, not retrofits.
Healthcare teams managing patient outreach, provider relations, or payer-side member engagement need a CRM that treats HIPAA as design input, not a checklist appendix. Strkr ships with signed BAA availability, consent-state fields on every contact, tenant-scoped row-level security, and audit log depth that holds up to compliance review.
Healthcare organizations evaluating CRMs usually have one of three starting points: a generic CRM shoehorned into a clinical workflow (HubSpot or Salesforce with a BAA bolted on), a vertical-specific product (Veeva, LeadSquared Health, Keona) that is strong on one segment and thin on others, or spreadsheets. The pattern that keeps showing up is consent-state drift, poor audit granularity, and PHI leaking into marketing fields because the schema was not designed with healthcare in mind. The cards below are what Strkr fixes.
PHI in marketing fields
The CRM has nowhere clean to put a diagnosis or care-plan note.
Generic CRMs give a rep an open-text notes field, and PHI ends up pasted in because there is nowhere else to put it. The field is not encrypted at field level, not audited at the right granularity, and shows up in marketing exports. Strkr ships custom field types tagged as PHI with the right handling: field-level encryption, exclusion from standard exports, and dedicated audit stream.
Consent-state drift
Patient opted out in June, received a reminder in July.
Consent for communication (SMS, email, call, text about appointments vs marketing) is a multi-dimensional state that generic CRMs flatten into a single opt-out boolean. Strkr carries structured consent fields per channel per purpose, with timestamps and source. A sequence or workflow cannot send to a channel the patient has not opted into because the send step checks the consent state before the API call.
Audit granularity
Compliance asks who saw what, the CRM shrugs.
A compliance audit asks who viewed a patient record on March 14. Generic CRMs log the fact that someone opened the record but not the fields they looked at or the actions they took. Strkr runs field-level audit on PHI columns, action-level audit on every state change, and tenant-scoped admin review surfaces so the compliance officer sees the full chain in one view.
BAA availability
The signed BAA takes 90 days to procure.
Many CRM vendors sign BAAs only at the enterprise tier, and the procurement cycle runs 90 days. Strkr makes BAA availability part of the standard plan for healthcare customers, not a bespoke contract. The organization in a hurry to launch a patient-outreach program does not spend a quarter negotiating paperwork before the first message goes out.
Provider assignment lives in a sheet
The care-coordinator roster is maintained in Excel.
Teams running provider or care-coordinator assignments usually track the roster in a spreadsheet because the CRM does not model it well. Strkr ships a native provider directory with licensure, specialty, availability, and panel-size fields, plus routing rules that assign incoming patient inquiries to the right provider by region, specialty, or language preference.
Marketing-tool integration
Email vendor cannot swear it is HIPAA-safe.
Classic CRMs push data to email tools (Mailchimp, Constant Contact) that do not sign BAAs. The data leaks into a non-BAA-covered vendor and the organization is out of compliance. Strkr routes healthcare-tagged sends through BAA-covered partners (Paubox for email, specific SMS carriers for Strkr Messaging), and marks the send step accordingly so the admin cannot accidentally fire a HIPAA-tagged list through a non-covered channel.
How Strkr handles PHI
HIPAA alignment is a schema-level concern.
Protecting PHI inside a CRM is not a checkbox labeled "HIPAA-compliant." It is a stack of design decisions about field-level encryption, audit granularity, consent modeling, send-channel validation, and admin controls. The cards below are the choices that make Strkr a credible health CRM instead of a general-purpose tool with a BAA attached.
PHI-tagged fields
Custom fields carry a PHI flag that drives system behavior.
Admins create fields tagged as PHI during setup. The flag drives field-level encryption at rest, exclusion from standard CSV exports (requires explicit audit-logged request to export), masking in Strkr AI responses unless the user has the claim, and dedicated audit stream capturing every read and write. The flag is a first-class system attribute, not an afterthought.
Structured consent model
Consent per channel per purpose with source and timestamp.
Strkr models consent as a multi-dimensional structure: patient has consented to SMS for appointment reminders, email for lab-result notifications, call for care coordination, and so on. Each consent carries source (verbal, written, portal checkbox), timestamp, and expiration if applicable. Send steps across Strkr Messaging, email flows, and workflow actions check the consent state before firing.
Provider directory
Native model for providers, specialties, licensure, panels.
The provider directory is a dedicated object with fields for licensure state, specialty, panel size, current availability, language fluency, and insurance networks accepted. Routing rules can assign incoming patient inquiries to providers by any combination of these attributes. The directory supports provider teams, cross-coverage, and panel-full escalation.
Patient journey tracking
From first touch to retention, one timeline.
A patient contact carries a timeline that spans intake, screening, enrollment, first appointment, follow-up cadence, retention. Each state transition fires a workflow trigger and the audit log captures the before and after. Teams running structured patient outreach programs (medication adherence, chronic-condition management, preventive-care outreach) model the whole motion inside Strkr.
Admin audit surfaces
Compliance officer sees reads and writes on every PHI field.
The admin audit console surfaces every PHI field access: user ID, timestamp, record ID, field read, action taken. A compliance officer running a quarterly audit filters by field, user, or date range and sees the full chain. The audit stream is immutable and retained per the regulatory requirement window (6 years for HIPAA by default, configurable).
BAA-covered channel enforcement
Workflow send steps validate the channel is BAA-covered.
A workflow sending a message to a PHI-tagged contact validates that the channel vendor carries a BAA. Email through Paubox: allowed. Generic SMTP: blocked at design time with a clear error. SMS through Strkr Messaging: allowed with the carrier BAA on file. The admin cannot accidentally route a HIPAA-tagged list through a non-covered channel because the system refuses the configuration.
Strkr AI with PHI awareness
AI respects PHI claims and does not surface protected fields.
Strkr AI runs under the user's own claims. A user without PHI-field claims asking the AI about a patient record gets a response that masks the PHI fields with a note that elevated access is required. The AI does not leak PHI into natural-language answers because the retrieval step filters by the user's claims before the drafting step runs.
De-identified reporting
Analytics layer runs on de-identified data by default.
The reports module runs on a de-identified view by default: patient counts, journey stage distribution, provider panel utilization, outreach-response rates. Users with the identified-report claim can switch views, which fires an audit event. The de-identified default keeps most reporting work out of the PHI access path entirely.
Portal integration
Clean APIs to Epic, Cerner, athena, and FHIR-compliant endpoints.
Strkr integrates with EHR systems through FHIR-aligned endpoints: patient demographics push, appointment-status pull, consent-state sync. The integration surface respects the EHR as the source of truth for clinical data; Strkr is the system of record for outreach, enrollment, and relationship state. The seam is explicit so the compliance officer can see where PHI flows.
What health CRM buyers compare on
The real evaluation checklist for 2026.
Buyers evaluating health CRMs tend to ask about HIPAA checkboxes and feature breadth. The deeper structural questions are about where PHI lives, how consent propagates, and whether the compliance posture is designed in or bolted on. The cards below are the questions that actually matter when evaluating against HubSpot (with BAA), Salesforce Health Cloud, Veeva CRM, or LeadSquared Health.
BAA tier
Is the BAA available on standard plans or enterprise-only.
Strkr makes BAA availability part of the standard healthcare plan path. HubSpot requires enterprise tier for BAA. Salesforce Health Cloud is enterprise-tier priced. Veeva is purpose-built but enterprise-only. The small-to-mid healthcare organization launching a patient-outreach program should ask the question before committing to a six-month enterprise procurement cycle.
PHI field tagging
Does the system model PHI as a first-class attribute.
Strkr tags PHI at the field level, with the tag driving system behavior across encryption, exports, audit, and AI access. Generic CRMs with a BAA treat every field equally and rely on admin discipline to keep PHI in the "right" places. The design-level approach is the difference between a compliance surface that holds up to audit and one that depends on user vigilance.
Consent model
Multi-dimensional per-channel per-purpose, or a single opt-out.
Strkr models consent per channel per purpose with timestamps and source. HubSpot and Salesforce support basic opt-out and some per-channel consent, but the multi-dimensional structure with purpose granularity (appointment reminders vs marketing) is thinner outside purpose-built health CRMs. The healthcare organization running TCPA-sensitive outreach needs the granularity.
Send-channel validation
Does the system refuse a non-BAA channel at design time.
Strkr blocks workflow configurations that would send PHI through non-BAA-covered channels. HubSpot and Salesforce rely on admin discipline. The system-level enforcement is a meaningful safety net for teams where the workflow builder may not be the compliance officer.
Audit depth on PHI
Field-level read/write audit vs record-open audit.
Strkr runs field-level audit on PHI columns: every read and write with user, timestamp, field, action. HubSpot and Salesforce log record-open events but not field-level reads outside Shield-tier configurations. The compliance officer running a HIPAA audit asks for field-level granularity and gets a cleaner answer.
EHR integration
FHIR-aligned endpoints or custom-sync project.
Strkr integrates with Epic, Cerner, athenahealth, and other EHRs through FHIR-aligned endpoints. Many general-purpose CRMs require a custom-sync project through a partner (Rhapsody, Redox) which adds cost and timeline. The buyer running a tight launch window should ask whether the native integration path exists.
What Strkr health CRM does not do
the limits.
Strkr is a health CRM for outreach, enrollment, provider relationship management, and patient-journey tracking. It is not an EHR, not a billing system, not a clinical-workflow platform. The list below is the current scope boundary so a buyer can read it before the demo.
Not an EHR
Clinical charting lives at Epic, Cerner, or athena.
Strkr does not replace an electronic health record. Clinical documentation, order entry, e-prescribing, and chart review belong in the EHR. Strkr is the outreach and relationship layer that integrates with the EHR for demographics, appointment status, and consent sync. The seam is explicit and the compliance officer can map PHI flow between the two.
Not a billing or claims system
Revenue cycle lives at Waystar, athenaCollector, or similar.
Strkr does not run claims submission, denial management, or payment posting. Teams running revenue-cycle operations should carry a dedicated RCM platform. Strkr can integrate for enrollment-to-billing handoff and claim-status reporting, but it does not try to replace the specialist billing surface.
Not an e-prescribing platform
Prescription workflows run in the EHR or Surescripts stack.
Any workflow that touches medication prescribing, pharmacy routing, or controlled-substance handling runs in the EHR with Surescripts integration. Strkr tracks medication-adherence outreach as a relationship state but does not touch the prescription data flow directly.
Not a clinical-decision-support engine
Risk scoring and care gaps live at specialist tools.
Clinical-decision-support engines (Innovaccer, Innovaccer Care Gap, Arcadia) model clinical risk, care gaps, and population-health analytics on the underlying claims and EHR data. Strkr integrates with these as a destination for outreach triggers but does not try to replicate the clinical risk-scoring surface.
No native telehealth video
Telehealth sessions run on Zoom for Healthcare or doxy.me.
Strkr tracks the appointment, logs the touchpoint, and integrates with telehealth session links. The actual video session runs on a BAA-covered telehealth platform. The scheduling and relationship state live in Strkr; the audiovisual stack lives at the specialist.
Non-English content thin outside Spanish
Multilingual outreach is strongest in English and Spanish.
Strkr AI drafts outreach content well in English and Spanish. Mandarin, Vietnamese, Arabic, and other common healthcare-outreach languages work but the quality lags noticeably. Teams running multilingual outreach should run a human review pass for languages outside the top two, or integrate a specialist translation service through the open API.
Head-to-head
Strkr vs Salesforce Health Cloud for the mid-size healthcare CRM.
Salesforce Health Cloud is the deepest enterprise health CRM. the comparison is where the enterprise depth is worth the enterprise cost and where a mid-market or growth-stage healthcare organization is better served by a focused platform. Here is the head-to-head.
Feature
Strkr
Salesforce Health Cloud
BAA availability
Standard healthcare plan path
Enterprise-tier license
PHI field tagging
First-class field attribute drives system behavior
Shield tier for field-level audit and encryption
Consent model
Multi-dimensional per-channel per-purpose with source
Native with Preference Center configuration
Send-channel validation
Workflow blocks non-BAA channel at design time
Admin discipline and governance rules
EHR integration
FHIR-aligned endpoints native
MuleSoft or partner integration project
Pricing posture
Flat per seat with AI included
Per-seat with Agentforce credits priced per Flex unit
AI with PHI awareness
Grounded retrieval with claims-filtered responses
Einstein Trust Layer at enterprise tier
Audit retention
Configurable 6-year default for HIPAA
Shield field-history retention configurable
Time to launch
Weeks for mid-size healthcare org
Quarters for mid-size healthcare org
Target buyer
Mid-market and growth-stage healthcare organizations
Large health systems and payers
How teams use Strkr
How healthcare organizations run Strkr today.
The organizations picking Strkr for the health CRM workflow usually fit one of three patterns: mid-size payer running member outreach, growth-stage digital-health company running patient enrollment, or multi-site provider group running care-coordination outreach. The playbooks below are motions that are live on customer accounts right now.
Digital-health startup, 24 care coordinators
Patient-enrollment conversion lifted 18 percent after consent cleanup.
A digital-health startup running chronic-condition management for 40,000 patients consolidated consent tracking from a spreadsheet into Strkr's structured consent model. The clean consent state unlocked SMS outreach for patients who had actually opted into appointment reminders (previously everyone was flagged "opt-out" to be safe). Enrollment conversion rate on the next cohort rose 18 percent because reach went up and opt-ins became usable.
Mid-size payer, 60 member-outreach reps
HEDIS gap-closure calls routed by provider specialty.
A regional payer runs HEDIS gap-closure outreach across 180,000 members. Previously calls were assigned by territory with no provider-specialty routing. Strkr Flows now routes a member with a diabetes care gap to a care coordinator with the diabetes-management specialty tag, with escalation to a nurse practitioner for complex cases. Gap-closure contact rate rose 23 percent in the first quarter.
Panel-full escalation stopped the "patient turned away" problem.
A six-site primary-care group used to lose roughly 40 incoming patient inquiries a month because the receiving clinic had a full panel and the inquiry sat in a shared inbox. Strkr Flows now routes a panel-full case to the nearest clinic with capacity, with language preference as a secondary filter. The turn-away rate dropped under 5 per month and the retention of newly-acquired patients ticked up.
Specialty-pharmacy coordination, 12 pharmacists
Medication-adherence outreach measured per cohort.
A specialty-pharmacy team runs medication-adherence outreach for high-cost specialty therapies. Strkr tracks the outreach cadence, the response, the refill event, and the adherence-score change. The quarterly report shows which outreach cadence (weekly vs biweekly, SMS vs call) drives the strongest adherence lift. Programs that used to be a feel-good spreadsheet are now measured and tuned.
Behavioral-health startup, 18 therapists
Intake-to-first-session time dropped from 11 days to 4 days.
A behavioral-health startup running direct-to-consumer intake had an 11-day median time from first contact to first scheduled session, with most of the delay in insurance verification. Strkr automated the insurance-eligibility check against a payer API, routed cleared cases to the right therapist by specialty and language, and reminded the patient at 48 hours and 24 hours before the appointment. Median dropped to 4 days and session no-show rate dropped from 22 percent to 12 percent.
A health CRM where HIPAA is a design input, not a retrofit.
Start a 14-day trial with BAA available on the standard healthcare plan. Model consent per channel per purpose, route by provider specialty, audit at field level, integrate with the EHR through FHIR. Flat per seat, Strkr AI included, no credit meter.
Strkr supports HIPAA with a signed Business Associate Agreement available as part of the standard healthcare plan path, not restricted to enterprise tier. The compliance posture includes field-level encryption on PHI-tagged fields, tenant-scoped row-level security, field-level audit on PHI columns with configurable retention (6-year default per HIPAA), and send-channel validation that refuses to route PHI through non-BAA-covered vendors. SOC 2 Type II controls are in progress for the current audit cycle. The healthcare organization in a hurry to launch does not spend a quarter in BAA procurement before the first message goes out.
How does Strkr model consent for healthcare outreach?
Consent is modeled as a multi-dimensional structure: patient has consented to channel (SMS, email, call, mail) for purpose (appointment reminders, lab-result notifications, care-coordination outreach, marketing). Each consent carries source (verbal, written, portal checkbox), timestamp, and expiration if applicable. Workflow send steps across Strkr Messaging, email flows, and Flow actions check the full consent state before firing, so a patient opted into appointment-reminder SMS but not marketing SMS will receive the appointment reminder and never the marketing message. The structured model is designed to hold up to TCPA scrutiny as well as HIPAA.
Does Strkr replace our EHR?
No. Strkr is a health CRM for outreach, enrollment, provider relationships, and patient-journey tracking. Clinical documentation, order entry, e-prescribing, and chart review stay in the EHR (Epic, Cerner, athenahealth, or similar). Strkr integrates with the EHR through FHIR-aligned endpoints for demographics, appointment status, and consent-state sync. The EHR is the clinical source of truth; Strkr is the relationship and outreach layer. The seam is explicit so the compliance officer can see where PHI flows between the two systems.
How does Strkr AI handle PHI?
Strkr AI runs under the user's own claims and respects PHI field tags. A user asking the AI about a patient record sees PHI-tagged fields in the response only if they carry the specific PHI access claim. The retrieval step filters by claims before the drafting step runs, so the AI does not leak PHI through natural-language answers to users who should not see it. Every AI call is captured in the audit log with user, prompt, response, model, and token count for compliance review. The ground-or-refuse policy applies with the extra constraint that even grounded responses mask PHI without the right claim.
What integrations does Strkr support for the healthcare stack?
Strkr integrates with major EHRs (Epic, Cerner, athenahealth, eClinicalWorks) through FHIR-aligned endpoints. For telehealth session links, Strkr integrates with Zoom for Healthcare, doxy.me, and major telehealth platforms. For BAA-covered email, Strkr routes through Paubox or similar. For SMS, Strkr Messaging carries carrier BAAs. For clinical-decision-support, Strkr integrates with Innovaccer and Arcadia as destinations for outreach triggers. For claims and billing, Strkr integrates with Waystar and athenaCollector for enrollment-to-billing handoff. Custom integrations run through the open REST API with webhook support.
How does Strkr prevent PHI from leaking into marketing exports?
PHI-tagged fields are excluded from standard CSV exports by default. Exporting a list that includes PHI columns requires an explicit audit-logged request that captures user, timestamp, fields requested, and purpose. The admin receives a notification for every PHI export request. The de-identified reporting view runs by default on the analytics layer, so most dashboards and reports do not touch PHI access at all. For marketing integrations, Strkr segments the audience list before handoff and strips PHI columns, so a marketing-tool handoff cannot carry PHI into a non-BAA-covered vendor by accident.
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