CRM migration

Migrate from Phreesia to HighLevel

Field-level mapping, validation, and rollback between Phreesia and HighLevel. We move data and schema; workflows are rebuilt natively in HighLevel.

Phreesia logo

Phreesia

Source

HighLevel

Destination

HighLevel logo

Compatibility

100%

11 of 11

objects map 1:1 between Phreesia and HighLevel.

Complexity

BStandard

Timeline

3–7 days

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Phreesia and HighLevel serve fundamentally different business models: Phreesia is a patient-intake platform built for healthcare organizations, handling appointment scheduling, insurance verification, clinical screenings, and payment collection. HighLevel is an all-in-one CRM and marketing automation platform designed for agencies and service businesses, organizing data around Contacts, Companies, Opportunities, and Custom Objects with a visual Workflow Builder for automation. FlitStack AI migrates the record-level data Phreesia stores — patient/contact demographics, company records, appointment history, and custom intake fields — into their HighLevel equivalents. Patient names, email addresses, phone numbers, and insurance information map directly to HighLevel Contact fields. Appointment and visit records migrate as Tasks with original dates preserved. Phreesia's custom intake form fields (such as clinical screening responses or consent timestamps) map to HighLevel custom fields on Contact or Custom Objects. Workflows, automated campaigns, and insurance verification rules built in Phreesia do not transfer — they must be rebuilt using HighLevel's Workflow Builder. Phreesia's EHR and PM integrations (Epic, eClinicalWorks, Athenahealth) have no equivalent in HighLevel's standard integrations; those connections must be re-established separately. Migration uses Phreesia's API export endpoints and bulk CSV data extraction, with records validated and deduplicated before loading into HighLevel via the HighLevel API. A delta-pickup window captures any records created or modified during the cutover period.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Phreesia logo

Phreesia

What's pushing teams away

  • Workflow automation beyond intake is limited; recall campaigns, treatment plan follow-ups, and marketing sequences require separate tools, frustrating practices seeking a unified patient engagement platform.
  • Integration promises sometimes do not match actual capability; organizations report that promised data write-back to their PM/EHR did not function as sold during implementation.
  • Frequent user interface updates disrupt staff workflows and require retraining, with some reviewers describing the platform as difficult to navigate after changes.
  • Patient-facing complexity creates friction for older or less technical patients, who struggle with self-service check-in and require staff assistance that partially negates efficiency gains.
  • Pricing is opaque and requires sales consultation, making budget planning difficult and leading some organizations to seek alternatives with published pricing tiers.

Choosing

HighLevel logo

HighLevel

What's pulling them in

  • Agencies choose HighLevel to consolidate CRM, email, SMS, scheduling, and funnels into one subscription, eliminating monthly bills for five to ten separate SaaS tools they previously stitched together.
  • The flat-rate pricing model bills per sub-account rather than per contact, so growing a contact database from 1,000 to 100,000 records does not trigger a billing surprise—a common pain point avoided by migrating customers.
  • White-label and sub-account capabilities let agencies resell HighLevel access to their own clients, turning a software cost center into a recurring revenue stream that justifies the subscription.
  • The platform ships a 14-day free trial with no credit card required, giving teams a low-friction entry point to validate fit before committing to the $97/month Starter tier.
  • Marketing agencies managing multiple client accounts use sub-accounts to maintain data isolation per client while operating under a single agency billing relationship with HighLevel.

Object mapping

How Phreesia objects map to HighLevel

Each row shows how a Phreesia object lands in HighLevel, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Phreesia

Patient

maps to

HighLevel

Contact

1:1
Fully supported

Phreesia patients map directly to HighLevel Contacts. Demographics including name, DOB, address, phone, and email transfer as standard Contact fields. The original Phreesia patient ID is preserved in a custom field Source_System_ID__c for traceability and future delta runs. Multi-location patients are merged on email address uniqueness before import to prevent duplicate contact records in HighLevel.

Phreesia

Patient Emergency Contact

maps to

HighLevel

Contact (Custom Fields)

1:1
Fully supported

Phreesia emergency contact details are preserved by mapping them to custom fields on the primary Contact record in HighLevel: Emergency_Contact_Name__c, Emergency_Contact_Phone__c, and Emergency_Contact_Relationship__c. Since HighLevel lacks a native emergency contact object or related-list structure, these fields are flattened directly onto the Contact, keeping all contact details accessible in one place for front-office staff.

Phreesia

Insurance Information

maps to

HighLevel

Contact (Custom Fields)

1:1
Fully supported

Phreesia insurance fields (payer name, member ID, group number, subscriber relationship) map to custom text fields on the HighLevel Contact. Insurance verification status from Phreesia (eligible, not eligible, pending) maps to a custom pick-list field Insurance_Verification_Status__c. Note that HighLevel has no native insurance verification engine — this data is preserved for reference only.

Phreesia

Appointment / Visit

maps to

HighLevel

Task

1:1
Fully supported

Phreesia appointment records migrate as HighLevel Tasks. The appointment date and time become the Task due date, the appointment type becomes the Task subject, and provider notes migrate as Task descriptions. Appointment status (scheduled, completed, no-show, cancelled) is preserved in a custom pick-list field Appointment_Status__c.

Phreesia

Appointment Provider

maps to

HighLevel

User / Contact

1:1
Fully supported

Phreesia provider names are resolved by email match against HighLevel users. If a matching HighLevel user exists, the appointment Task is assigned to that user. If no match is found, the provider name is stored in a custom field Provider_Name__c and the Task is assigned to a migration fallback owner for manual routing.

Phreesia

Intake Form Response

maps to

HighLevel

Custom Object / Contact Custom Fields

1:1
Fully supported

Phreesia intake form responses (clinical screenings, consent signatures, social history) are evaluated for cardinality. Low-cardinality responses (yes/no, single-select) become custom pick-list fields on Contact. High-cardinality or free-text responses are grouped into a HighLevel Custom Object named Intake_Responses with a lookup relationship to the Contact record.

Phreesia

Consent Record

maps to

HighLevel

Custom Object

1:1
Fully supported

Phreesia consent records (HIPAA agreement, financial policy, treatment consents) map to a HighLevel Custom Object named Consent_Records. Each record stores the consent type, consent timestamp, and consent method (electronic signature, verbal) as custom fields. A lookup relationship links each Consent_Record to the corresponding Contact.

Phreesia

Payment Record

maps to

HighLevel

Contact (Custom Fields) / Opportunity

1:1
Fully supported

Phreesia payment transactions (amount, date, method, status) are aggregated into a summary on the Contact record (Total_Payments_Received__c, Last_Payment_Date__c) and, if linked to a service agreement, into a HighLevel Opportunity representing the client account. Individual transaction history is stored in a Payment_History__c custom field as JSON-formatted text for reference.

Phreesia

Insurance Eligibility Check

maps to

HighLevel

Custom Object

1:1
Fully supported

Phreesia eligibility verification results (payer response, coverage details, copay amount) do not have a native HighLevel equivalent. These are migrated into a Custom Object named Insurance_Eligibility_Checks linked to the Contact, storing payer name, check date, coverage status, and copay/coinsurance amounts as custom fields.

Phreesia

Location / Facility

maps to

HighLevel

Contact (Custom Fields) / Tag

1:1
Fully supported

Phreesia multi-location configurations map to a Location__c custom pick-list field on Contact. Additionally, a HighLevel Tag named after each location (e.g., 'Location: Downtown Clinic') is applied to all contacts from that facility, enabling pipeline and reporting segmentation by location without requiring a separate object.

Phreesia

Referral Source

maps to

HighLevel

Contact (Custom Field) / Tag

1:1
Fully supported

Phreesia referral source data (how the patient heard about the practice) maps to a custom pick-list field Referral_Source__c on Contact. Where Phreesia stores referring provider or facility names, those are stored as text in Referring_Provider__c and a corresponding Tag is applied for segmentation in HighLevel campaigns.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Phreesia logo

Phreesia gotchas

High

PM/EHR integration configuration must be validated before patient data import

High

Custom intake forms lack a standard schema export

Medium

Phreesia is an intake platform, not a longitudinal patient database

Low

Patient secure authentication links are time-limited and non-migratable

Medium

Payment plan configurations require manual reconciliation

HighLevel logo

HighLevel gotchas

High

Sub-account architecture creates isolated data silos per client

High

Usage-based telecom and AI costs are not in the subscription price

Medium

Workflows have no native equivalent in most destination CRMs

Medium

API rate limits cap bulk migration throughput at 100 requests per 10 seconds per sub-account

Low

White-label configuration and branding assets do not export via API

Pair-specific challenges

  • Healthcare screening and clinical data has no native HighLevel home

    Phreesia stores clinical screening responses (PHQ-9, social determinants of health, medical history) as intake form fields tied to individual patients. HighLevel's standard Contact object has no clinical fields. FlitStack AI maps these to custom fields on Contact or a dedicated Intake_Responses Custom Object, but HighLevel's Workflow Builder cannot trigger on clinical field values the way Phreesia's clinical logic engine does. Any automated follow-up based on screening results (e.g., flagging high-risk patients for outreach) must be rebuilt as workflow conditions in HighLevel's builder — the trigger logic, threshold definitions, and routing rules are not preserved automatically.

  • EHR and PM integrations do not migrate — they must be rebuilt

    Phreesia maintains bidirectional integrations with Epic, eClinicalWorks, Athenahealth, NextGen, Greenway Health, and other EHR/PM systems via HL7v2 and FHIR interfaces. HighLevel has no native EHR integration and does not support HL7v2 or FHIR natively. After migration, patient records in HighLevel will not sync back to your EHR automatically. You must re-establish data flow through a middleware platform (e.g., Health Gorilla, Sansoro, or a custom integration) or accept manual re-entry for records created in HighLevel. This is a high-risk gap for clinical workflows that depend on EHR data consistency.

  • Phreesia intake workflows require full rebuild in HighLevel's Workflow Builder

    Phreesia's intake workflows are configured using a rules engine that triggers form presentations, consent collections, and clinical screenings based on appointment type, patient response patterns, or provider selection. These workflow definitions cannot be exported from Phreesia in a machine-readable format. FlitStack AI documents your existing Phreesia workflow logic as a reference specification so your HighLevel admin can rebuild each workflow in HighLevel's visual Workflow Builder — but the migration itself carries only data, not automation logic. Budget 2–4 weeks for workflow reconstruction depending on intake complexity.

  • Appointment check-in state has no equivalent in HighLevel Calendars

    Phreesia tracks the full appointment lifecycle including pre-registration completion, check-in timestamp, clinical handoff, and checkout. HighLevel's Calendar feature handles scheduling and reminder delivery but does not model a clinical check-in or checkout event. Migrated appointments land as Tasks with status flags, but HighLevel will not inherently know whether a patient has physically checked in for an appointment. Practices that rely on Phreesia's check-in data for operational reporting should plan to rebuild this state tracking using Custom Objects and workflow triggers in HighLevel.

  • Multi-location tagging requires post-migration validation

    Phreesia locations are top-level organizational units with separate configurations, staff assignments, and intake forms. HighLevel sub-accounts provide the closest structural equivalent — one sub-account per Phreesia location. However, if you are consolidating multiple Phreesia locations into a single HighLevel account, contact records must be tagged and assigned to location-custom fields after migration. FlitStack applies Location__c custom fields and tags based on the source Phreesia location ID during import, but duplicate location records or inconsistent tagging must be reviewed and resolved before go-live.

Migration approach

Six steps for a successful Phreesia to HighLevel data migration

  1. Audit Phreesia data export and identify migration scope

    FlitStack AI connects to Phreesia via API using your organization's credentials and audits the full record inventory: patient count, appointment history depth, intake form field definitions, consent record types, and custom configuration objects. We generate a Data Inventory Report listing every Phreesia object, field type, and record count that will enter the migration pipeline. This report also identifies any fields with PHI sensitivity that require additional handling during the export and load process.

  2. Define HighLevel schema: custom fields, objects, and location structure

    Based on the Data Inventory Report, FlitStack creates a HighLevel Schema Plan specifying which custom fields to create on Contact, which Custom Objects to set up (Consent_Records, Intake_Responses, Insurance_Eligibility_Checks), and how Phreesia locations map to either HighLevel sub-accounts or Contact tags. For healthcare organizations, this step includes defining HIPAA-compliant field storage and access controls on the HighLevel Enterprise tier if required. The schema plan is reviewed and approved before any records are created in HighLevel.

  3. Extract, cleanse, and validate Phreesia records

    Phreesia patient records are extracted via bulk CSV export and API queries, then staged in FlitStack's secure migration environment. Records are validated against the target schema: email addresses are verified for uniqueness, duplicate patients are flagged for merge or suppression, date formats are normalized to YYYY-MM-DD, and special characters are UTF-8 encoded. Insurance member IDs and emergency contact fields are checked for completeness. Any records failing validation are logged in a Discrepancy Report for your team to review and resolve before the load begins.

  4. Run sample migration and field-level diff

    A representative slice of 100–500 records spanning patients, appointments, intake responses, and consent records is migrated into a HighLevel staging environment. FlitStack generates a field-level diff report comparing every source field against its destination value, including custom field completeness and custom object relationship integrity. You review the diff and approve the field mapping before the full migration is committed. Any incorrect mappings are corrected in the migration plan and re-validated.

  5. Execute full migration with delta-pickup window

    The full Phreesia dataset is migrated into HighLevel using bulk API loads. During the cutover window — typically 24–48 hours — Phreesia remains fully operational for your team. Any records created or modified in Phreesia after the initial export are captured in a delta pass and applied to HighLevel before go-live. FlitStack generates a Migration Summary Report showing record counts, field coverage percentages, and a list of any records that could not be migrated due to data quality issues, along with recommended resolutions.

  6. Validate and handoff with rollback plan

    Post-migration validation checks confirm record counts match between Phreesia exports and HighLevel imports, custom object relationships are correctly linked, and location tagging is consistent. FlitStack provides a one-click rollback script that re-imports the pre-migration backup into Phreesia if reconciliation reveals critical data integrity issues. The final handoff includes the Migration Summary Report, the Workflow Rebuild Reference Document (documenting your Phreesia workflow logic for HighLevel reconstruction), and a 30-day post-migration support window for any data corrections.

Platform deep dives

Context on both ends of the pair

Phreesia logo

Phreesia

Source

Strengths

  • Automated insurance eligibility and benefits verification before the patient arrives reduces claim denials and front-desk work.
  • Bidirectional integrations with major PM and EHR systems keep demographics, consents, and payments synchronized automatically.
  • Patient self-service check-in saves clinical staff over five minutes per visit on average across Phreesia's network.
  • Electronic consent capture with logic-driven prompting reaches 99% automatic signature or re-signature completion rates.
  • In-house merchant processing with flat-rate pricing consolidates payment infrastructure within the same platform.

Weaknesses

  • Workflow automation is limited to intake; recall campaigns, treatment follow-up, and marketing sequences require separate systems, frustrating practices seeking unified engagement tooling.
  • API documentation is not publicly accessible, making programmatic data extraction a coordination effort with Phreesia's implementation team rather than a self-service export.
  • Integration capabilities and actual data write-back behavior vary between PM/EHR systems, with some organizations reporting promised functionality did not work as described.
  • Custom intake forms and screening logic are organization-specific, making pre-migration field mapping a manual, per-customer effort with no standardized schema export.
HighLevel logo

HighLevel

Destination

Strengths

  • Consolidates CRM, marketing automation, email, SMS, scheduling, and funnels into one platform at a predictable flat monthly rate.
  • Supports unlimited contacts and unlimited users on all paid tiers, removing per-record billing anxiety as databases grow.
  • Offers white-label and sub-account capabilities that let agencies resell access and manage multiple client environments under one billing relationship.
  • Includes built-in review management, reputation monitoring, and AI agents as native features rather than third-party add-ons.
  • Exports Contacts and Companies via a scalable async bulk CSV system that handles multi-million-row datasets without blocking the UI.

Weaknesses

  • The breadth of features creates a steep learning curve; advanced automations and Workflow configuration require significant time investment that smaller teams may not recover.
  • The platform charges usage-based fees for telecommunications and AI features that are not included in the base subscription, leading to bill surprises.
  • Recurring user reports on Reddit and G2 describe bugs, errors, and slow support response times that disrupt live marketing and sales operations.
  • Sub-account architecture, while powerful for agencies, adds migration complexity when identifying which client data lives in which isolated environment.
  • The platform is designed for agencies and SMBs; larger enterprises requiring deep reporting, custom objects at scale, or complex role-based access may outgrow its capabilities.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Phreesia and HighLevel.

  • Object compatibility

    B

    1 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Phreesia: Not publicly documented.

  • Data volume sensitivity

    B

    Phreesia doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Phreesia to HighLevel migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Phreesia to HighLevel data migrations

Answers to the questions buyers ask most during Phreesia to HighLevel migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most Phreesia-to-HighLevel migrations complete in 3–7 days for standard datasets under 50,000 patient records with under 30 custom intake fields. Complex healthcare setups with multiple Phreesia locations, 50+ custom fields, and clinical screening data extend to 10–21 days. The longest phase is schema planning and custom object definition in HighLevel before data moves. Workflow reconstruction in HighLevel's Workflow Builder is a separate workstream that runs in parallel but is not part of the data migration timeline.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Phreesia.
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