CRM migration

Migrate from Phreesia to Pipedrive

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

Phreesia logo

Phreesia

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

100%

12 of 12

objects map 1:1 between Phreesia and Pipedrive.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Phreesia is a healthcare-specific patient intake platform centered on registration forms, insurance eligibility checks, consent capture, and appointment workflows. Pipedrive is a general sales CRM built around People, Organizations, Deals, and Activities with a visual drag-and-drop pipeline. The two platforms share virtually no overlap in domain logic, which means the migration is primarily a field-level data translation exercise rather than an object-to-object record carry-over. We extract Phreesia patient records via API, including all custom intake form fields, insurance carrier data, consent records, and appointment history. We then map that data into Pipedrive: Patient → Person (with custom fields for insurance and consent), Insurance carrier → Organization (linked via OrganizationId), Appointments → Activities (with visit type and clinical context stored as custom fields). Phreesia's custom intake forms — built with conditional logic and branching rules — have no native equivalent in Pipedrive's data model; we capture every custom field value and document the form structure for manual rebuild as Pipedrive custom fields and automations. The migration uses Phreesia's API for structured data extraction, preserves original create/update timestamps as custom datetime fields, resolves Phreesia providers to Pipedrive users by email match, and runs a delta-pickup window post-cutover for in-flight records. Workflows, sequences, eligibility verification rules, and EHR integration hooks are not migratable — those are rebuild items surfaced in the migration plan.

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

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How Phreesia objects map to Pipedrive

Each row shows how a Phreesia object lands in Pipedrive, 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

Pipedrive

Person

1:1
Fully supported

Direct map. Phreesia patient record maps to Pipedrive Person with name, email, phone, and address fields carried over verbatim. Primary insurance carrier is resolved separately as an Organization and linked via Pipedrive's person-to-organization association. Original Phreesia patient ID preserved as Source_System_ID__c custom field for delta-run de-duplication.

Phreesia

Insurance Carrier

maps to

Pipedrive

Organization

1:1
Fully supported

Phreesia insurance carrier stored per patient maps to Pipedrive Organization representing the payer. Carrier name becomes Organization name, and the Person record links to it via OrganizationId. When multiple patients share a carrier, Pipedrive deduplicates to a single Organization record. Self-pay patients have no carrier and no Organization link.

Phreesia

Appointment / Visit

maps to

Pipedrive

Activity

1:1
Fully supported

Phreesia appointments become Pipedrive Activities with Type='Appointment' or Type='Call' depending on visit modality. Original appointment date and time map to Activity due_date and start times. Visit type (new patient, follow-up, telehealth) is stored as a custom field on the Activity since Pipedrive's native Activity model does not include visit-type categorization. Provider name maps to the assigned Pipedrive user on the Activity.

Phreesia

Consent Record

maps to

Pipedrive

Person (custom fields)

1:1
Fully supported

Phreesia consent records have no direct Pipedrive equivalent. We migrate consent_type (e.g., HIPAA, financial policy, treatment consent) as a custom pick-list field on Person, and consent_timestamp as a custom datetime field. Electronic signature data is not transferable in a standard CRM migration — the consent form itself must be re-executed in the destination system or stored as a linked document.

Phreesia

Custom Intake Form Field

maps to

Pipedrive

Person (custom fields)

1:1
Fully supported

Every custom field from Phreesia's intake form builder becomes a Pipedrive custom field on the Person object. Field types map as follows: text → varchar, number → int, date → date, checkbox → boolean, dropdown → picklist. Phreesia's conditional logic and branching rules are not migratable — we document the form structure so the practice can rebuild conditional rules as Pipedrive Automations or Smart Docs.

Phreesia

Payment Record

maps to

Pipedrive

Person / Deal (custom fields)

1:1
Fully supported

Phreesia payment records (amount, status, method, card on file) have no native Pipedrive equivalent. Payment status and last payment amount migrate as custom fields on the Person record. If payments are tied to a specific treatment plan, the plan migrates as a Pipedrive Deal with payment amount as the deal value and payment status as a custom field. Pipedrive's built-in invoicing is not used — payment history is a reference field, not a transactional record.

Phreesia

Insurance Eligibility Check Result

maps to

Pipedrive

Person (custom fields)

1:1
Fully supported

Phreesia's real-time eligibility verification results (coverage status, copay, deductible remaining) are healthcare-specific and have no Pipedrive equivalent. We preserve the last eligibility check date and status as custom fields on Person for reference, but active eligibility checking requires a third-party integration like VerifyODE or Waystar in Pipedrive's ecosystem — not a migration carry-over.

Phreesia

Clinical Screening Response

maps to

Pipedrive

Person (custom fields) / Note

1:1
Fully supported

Phreesia clinical screening responses (PHQ-9, SDOH, substance use, social determinants) are structured data that does not map to standard Pipedrive fields. We migrate discrete screening scores as numeric custom fields on Person and store the full screening response as a Note attached to the Person record. Clinical decision-support logic tied to screening results is not migratable and must be rebuilt outside Pipedrive.

Phreesia

Referral Source

maps to

Pipedrive

Person (custom fields) / Organization

1:1
Fully supported

Phreesia referral tracking (referring provider, facility, source channel) migrates as a custom field on Person identifying the referral type. When a referring provider or facility is named, we create a corresponding Pipedrive Organization record and link it to the Person — similar to the insurance carrier pattern. Anonymous digital referrals (website, Google, walk-in) are stored as custom field text values.

Phreesia

User / Staff Owner

maps to

Pipedrive

User

1:1
Fully supported

Phreesia staff who own patient records are resolved to Pipedrive Users by email match. Unmatched owners are flagged before migration — the practice must invite those users to Pipedrive or assign their records to a fallback owner. Inactive Phreesia staff are not migrated as Pipedrive users; their records are reassigned to the specified fallback.

Phreesia

Registration / Check-in Event

maps to

Pipedrive

Activity

1:1
Fully supported

Phreesia registration events (check-in time, kiosk used, self-service vs. staff-assisted) are healthcare-specific and map to a custom Activity field in Pipedrive. These are logged as Activity records with Type='Registration' and a custom field capturing the registration method. The original registration timestamp is preserved as the Activity due_date for reporting on no-show rates and check-in efficiency.

Phreesia

EHR Integration Link

maps to

Pipedrive

Not migrated

1:1
Fully supported

Phreesia's HL7 and FHIR integrations with Epic, Athena, Cerner, and other EHR systems are not migratable to Pipedrive. Pipedrive does not natively support HL7 feeds. Practices must select and configure a separate integration solution (e.g., Mirth Connect, 1547 Group) to reconnect EHR data flows post-migration. This is surfaced as a rebuild item in the migration plan.

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

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • Pipedrive's HIPAA posture requires explicit configuration — not a default setting

    Phreesia is built HIPAA-compliant by design and includes a BAA, data encryption at rest, audit logging, and role-based access controls scoped to protected health information. Pipedrive is a general SaaS CRM with no default HIPAA compliance — data is encrypted in transit and at rest as standard SaaS, but a Business Associate Agreement must be requested explicitly, and features like ZoomInfo Data Privacy are add-ons. Healthcare organizations migrating PHI to Pipedrive must confirm the BAA is in place before any patient data is written, and should configure visibility groups and field-level access restrictions manually. This is a configuration step that Phreesia handles automatically — Pipedrive requires deliberate setup.

  • Phreesia consent records have no native equivalent in Pipedrive's data model

    Phreesia stores consent as a structured record object with type, timestamp, form version, and electronic signature captured via its e-signature integration. Pipedrive has no consent management object — there is no built-in field for signature status, consent form version, or HIPAA authorization type. We migrate consent data as custom fields on the Person record, but the electronic signature itself (the DocuSign or equivalent record within Phreesia) is not transferable as a signed artifact. Practices must re-collect signatures for active HIPAA authorizations, financial policies, and treatment consents in Pipedrive or via a separate e-signature tool. This is a manual compliance step that is not automated by the migration.

  • Pipedrive's token-based API rate limits require migration throttling

    Pipedrive introduced token-based API rate limits in December 2024 that affect both new and existing accounts. The limits vary by plan tier and are enforced per API token. During a bulk migration from Phreesia with large record volumes, API calls must be throttled to avoid 429 Too Many Requests errors. FlitStack AI manages batch sizing and retry logic automatically, but this adds clock time to large migrations — a 50,000-record migration that might complete in 6 hours on an unrestricted API may take 18–24 hours under Pipedrive's current rate limit tiers. This is disclosed in the migration timeline and affects the delta-pickup scheduling.

  • Phreesia custom intake form conditional logic does not transfer to Pipedrive

    Phreesia's form builder supports conditional field display — fields that appear or are required based on prior answers (e.g., show insurance fields only if patient indicates they have insurance; require a guardian signature if patient is under 18). Pipedrive custom fields have no conditional display logic at the field level; all fields are always visible on a record unless wrapped in Pipedrive's separate Automation conditions. The migration extracts every field value from Phreesia's forms, but the conditional rules themselves must be documented by FlitStack and rebuilt as Pipedrive Automations — a manual configuration step that requires the practice's process knowledge. This is a known limitation explicitly disclosed in the migration plan.

  • EHR integration links from Phreesia are not migratable and must be rebuilt

    Phreesia maintains bidirectional HL7v2 and FHIR integrations with Epic, Athenahealth, Cerner, eClinicalWorks, and other EHR/PM systems for pushing intake data back into the clinical record. Pipedrive has no native HL7 or FHIR support — EHR connectivity requires a third-party integration layer (e.g., Mirth Connect, 1547 Group, proprietary integration). The migration does not carry over integration endpoints, authentication credentials, or mapping configurations from Phreesia's EHR bridges. Post-migration, the practice must select and implement a separate HL7/FHIR integration solution for Pipedrive-to-EHR data flows. This is the largest post-migration rebuild item and is flagged as a separate workstream.

Migration approach

Six steps for a successful Phreesia to Pipedrive data migration

  1. Inventory Phreesia data architecture and export all source records

    FlitStack AI connects to Phreesia via API using read-only scoped credentials. We extract all patient records, insurance carrier data, appointment history, consent records, custom intake form responses, payment records, referral sources, and registration events. The export is staged in a temporary data store where we deduplicate by patient ID, validate required fields, and flag records with missing critical data (no email, no phone, duplicate names) for practice review before migration. This inventory step also identifies the count of custom intake form fields, conditional logic branches, and insurance carrier variants — the primary cost drivers for the migration quote.

  2. Configure Pipedrive custom fields and Organization structure before data arrival

    Before any data moves into Pipedrive, we create the target schema: custom Person fields for insurance (member ID, group number, plan name, relationship), consent (type, timestamp, form version), payments (status, amount, card on file), clinical (visit type, screening scores, referral source), and healthcare metadata. We also create Organization records for all unique insurance carriers identified in the Phreesia export, linking them to the relevant Person records via Pipedrive's person-to-organization association. This pre-configuration prevents validation failures at migration time and gives the practice a chance to review the custom field layout before records land.

  3. Resolve Phreesia providers and staff to Pipedrive users by email

    Phreesia staff owners, providers, and front-desk users are matched to Pipedrive users by email address — the primary key for identity resolution across both platforms. Unmatched owners are flagged in a pre-migration report: the practice must either invite those users to Pipedrive or assign their records to a designated fallback owner before the migration run. No patient record lands in Pipedrive without a valid OwnerId. This step also validates that the Pipedrive users have the appropriate visibility group permissions for patient data access, since Pipedrive's visibility groups control which users can see which records — a relevant configuration for multi-location practices.

  4. Run sample migration with field-level diff before full commit

    A representative slice of records — typically 100–500 patients spanning different appointment types, insurance carriers, and custom intake form variants — migrates first into Pipedrive's live environment (or a designated sandbox if preferred). We generate a field-level diff comparing each source field against the destination field, so the practice can verify that insurance carrier linking, consent field mapping, visit-type categorization, and custom intake field preservation match expectations. Any mapping corrections are made before the full run. This sample run also surfaces Pipedrive API throttling behavior at the practice's plan tier, allowing us to calibrate batch sizing for the full migration.

  5. Execute full migration with delta-pickup window and rollback available

    The full migration runs against Pipedrive, with records loaded in dependency order: Organizations first (insurance carriers), then Persons (patients), then Activities (appointments, registration events), then linked custom fields. A delta-pickup window — typically 24–48 hours from the start of the full run — captures any new patient records, appointments, or consent events created in Phreesia during the cutover. Every operation is logged in an audit trail. If reconciliation fails — a duplicate detected, a required field missing, or a critical mapping error — a one-click rollback reverts the Pipedrive state to the pre-migration snapshot. The rollback is available for 72 hours post-cutover.

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.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 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 Pipedrive.

  • Object compatibility

    B

    3 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 Pipedrive 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 Pipedrive data migrations

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

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Most Phreesia-to-Pipedrive migrations complete in 48–72 hours of clock time for under 25,000 patient records once the pre-migration setup is approved. Larger practices with 100,000+ patient records, 50+ custom intake fields, or multi-location configurations extend to 5–10 days. Pipedrive's token-based API rate limits (introduced December 2024) add throttling overhead to bulk loads, which is factored into the timeline. The longest planning step is documenting conditional form logic and EHR integration requirements — those are rebuild items, not migration steps.

Adjacent paths

Related migrations to explore

Ready when you are

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