CRM migration
Field-level mapping, validation, and rollback between Pulse Digital Clinic and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Pulse Digital Clinic
Source
Pipedrive
Destination
Compatibility
10 of 10
objects map 1:1 between Pulse Digital Clinic and Pipedrive.
Complexity
CModerate
Timeline
48–72 hours
Overview
Pulse Digital Clinic is a medical practice management platform built around patient records, appointments, billing, and e-prescribing — a fundamentally different data model from Pipedrive's sales-pipeline CRM. The migration carries patient demographics, contact details, medical history custom fields, appointment records, and billing information into Pipedrive Person records, Organization records (representing the clinic or insurance providers), and Activity records. The core challenge is that Pulse stores clinical data (allergies, blood type, medical history, prescriptions) that has no native Pipedrive equivalent — these become custom fields on Pipedrive Person objects. Pipedrive's API assigns each custom field a 40-character hash key that differs per account, so FlitStack creates each custom field during the migration run and maps values to the correct hash. Appointment records from Pulse map to Pipedrive Activities linked to the corresponding Person record. Billing data migrates as a custom field unless the clinic wants to model outstanding balances as Deals with a billing pipeline.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Pulse Digital Clinic 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.
Pulse Digital Clinic
Patient (Person)
Pipedrive
Person
1:1Pulse patient records map to Pipedrive Person objects. First name, last name, email, phone, and address fields migrate directly. Medical fields (allergies, blood_type, medical_history) create as Pipedrive custom fields on the Person record after hash-key registration via the Pipedrive API.
Pulse Digital Clinic
Clinic / Practice
Pipedrive
Organization
1:1Pulse clinic name and address data maps to a Pipedrive Organization record representing the clinic itself. If Pulse stores referring clinics or insurance providers as separate entities, each becomes its own Organization record with type distinguished via a custom field.
Pulse Digital Clinic
Appointment
Pipedrive
Activity (Task/Event)
1:1Pulse appointment records with date, time, duration, status, doctor name, and appointment type map to Pipedrive Activity records. The Person record is linked via Pipedrive's activity_participants API field. Appointment status (completed, no-show, cancelled) maps to Pipedrive activity status values (not done, completed).
Pulse Digital Clinic
Insurance Provider
Pipedrive
Organization
1:1Insurance carrier data from Pulse—including provider name, policy number, and group ID—maps to Pipedrive Organization records tagged with a custom insurance_provider_type pick‑list field. If a patient has multiple carriers, each carrier is created as a separate Organization. FlitStack captures the mapping of Pulse carrier IDs to Pipedrive org IDs and sets Person.org_id to the primary carrier; additional carriers are linked via a custom multi‑reference field or notes.
Pulse Digital Clinic
Bill / Invoice
Pipedrive
Custom field on Person / Organization
1:1Billing amounts, payment status, and outstanding balance from Pulse's billing module migrate as custom fields on the Person record (or optionally as Deal records if the clinic prefers a Pipedrive billing pipeline view). Payment status values (paid, pending, overdue) require value mapping to Pipedrive pick-list custom field options.
Pulse Digital Clinic
Prescription record
Pipedrive
Custom field on Person
1:1Pulse prescription data—medication name, dosage, frequency, prescriber, date, and refills—maps to Pipedrive custom long‑text fields on the Person record. For patients with multiple prescriptions, FlitStack concatenates entries with line breaks to keep each medication readable. Prescriber is resolved to a Pipedrive User where possible, and any extra metadata is stored in supplemental custom fields. Content over 10 000 characters is split, attached as a file, and flagged.
Pulse Digital Clinic
Patient created / updated timestamps
Pipedrive
Custom datetime fields on Person
1:1Pulse records each patient’s original create_date and last_modified timestamps, which reflect when the record was first added and last edited. Pipedrive sets its own CreatedDate at import time, so the original Pulse timestamps are saved as custom fields named Original_Create_Date__c and Original_Last_Modified__c on the Person record. These fields enable audit reporting, help identify stale records, and support delta‑sync logic that captures any Pulse changes made after the migration window closes.
Pulse Digital Clinic
Pulse object_id
Pipedrive
Custom field on Person
1:1Pulse’s internal record ID is saved as Source_System_ID__c on each Pipedrive Person record. This provides a stable link to the source system, enabling FlitStack to de‑duplicate records on delta runs, match related objects (appointments, bills) back to the original Pulse entry, and support error‑resolution workflows that reference the source identifier. The ID remains unchanged across updates.
Pulse Digital Clinic
Doctor / Practitioner
Pipedrive
User
1:1Pulse practitioner names on appointments map to Pipedrive User records by email match. If Pulse stores practitioner records with email addresses, FlitStack resolves the owner by email lookup. Unmatched practitioners are flagged before migration and assigned to a fallback Pipedrive user.
Pulse Digital Clinic
Location / Branch
Pipedrive
Custom field on all records
1:1Pulse clinics tag patient, appointment, and organization records with location identifiers to separate branches. Pipedrive lacks a native multi‑location model; all records live in one account. FlitStack creates a custom pick‑list field named location_id and populates it on Person, Organization, and Activity records using the value extracted from Pulse. If the clinic later enables Pipedrive’s Enterprise visibility groups, the same location_id can be used to enforce data isolation per branch.
| Pulse Digital Clinic | Pipedrive | Compatibility | |
|---|---|---|---|
| Patient (Person) | Person1:1 | Fully supported | |
| Clinic / Practice | Organization1:1 | Fully supported | |
| Appointment | Activity (Task/Event)1:1 | Fully supported | |
| Insurance Provider | Organization1:1 | Fully supported | |
| Bill / Invoice | Custom field on Person / Organization1:1 | Fully supported | |
| Prescription record | Custom field on Person1:1 | Fully supported | |
| Patient created / updated timestamps | Custom datetime fields on Person1:1 | Fully supported | |
| Pulse object_id | Custom field on Person1:1 | Fully supported | |
| Doctor / Practitioner | User1:1 | Fully supported | |
| Location / Branch | Custom field on all records1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Pulse Digital Clinic gotchas
No public API forces manual or custom extraction
WhatsApp conversation history is non-exportable
Medical records require field-level schema mapping
Lifetime license holders face migration timing pressure
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Audit Pulse data export and configure Pipedrive custom fields
FlitStack connects to Pulse via its documented REST API endpoints to extract patient records, clinic data, appointment history, and billing information. During extraction, the team audits field completeness, flags duplicate records by email or phone, and identifies any empty mandatory fields. Simultaneously, FlitStack creates the required Pipedrive custom fields (allergies, blood_type, medical_history, prescription, insurance_policy_number, location_id, original_create_date, source_system_id, and others) via the Pipedrive API and captures the hash-key responses for subsequent mapping. A schema setup document is delivered for review before the import phase begins.
Resolve practitioner and insurance provider relationships
Pulse practitioner names on appointments are resolved against Pipedrive User accounts by email match. FlitStack prepares a practitioner-to-user mapping table and flags any Pulse practitioner without a corresponding Pipedrive user — these records are assigned to a designated fallback Pipedrive user or held for admin assignment. Insurance provider names from Pulse are matched against the Organization records to be created, ensuring that Person.org_id links resolve correctly after the Organization import phase completes. All relationship resolution decisions are documented in the mapping plan for client approval.
Run sample migration with field-level diff on 100–500 records
A representative sample of patient records spanning different record ages, appointment histories, billing statuses, and medical field populance migrates to Pipedrive first. FlitStack generates a field-level diff comparing source Pulse values against the destination Pipedrive fields, flagging any discrepancies in custom field rendering, date formatting, activity linkage, and org_id resolution. The clinic admin reviews the sample in Pipedrive to confirm medical field display, appointment timeline accuracy, and billing field values before the full migration commits.
Execute full import in sequenced phases with rate-limit throttling
The full migration proceeds in ordered phases: (1) Organizations first, capturing Pipedrive IDs; (2) Persons, linking to Organization IDs via org_id; (3) Activities, linking to Person IDs via activity_participants; (4) custom field values for medical, billing, and timestamp data using the resolved hash keys. Each phase applies Pipedrive's rate-limit response handling — pauses of 5–30 seconds when 429 responses occur and retries until the batch completes. A delta-pickup window opens at this point, capturing any Pulse records created or modified during the migration run. An audit log records every insert, update, and skip operation.
Validate record counts, linkage integrity, and deliver handover documentation
Post-import, FlitStack runs a validation pass comparing Pulse record counts against Pipedrive record counts per object type. The team verifies Person-to-Organization links, Person-to-Activity linkage counts, and spot-checks custom field values for a random 5% sample of records. Any orphaned activities (no linked Person) or unlinked organizations are flagged and repaired. FlitStack delivers a migration summary report, the full field-mapping document, the practitioner-to-user mapping table, and a 30-day post-migration support window for reconciliation adjustments.
Platform deep dives
Pulse Digital Clinic
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 1 of 8 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Pulse Digital Clinic and Pipedrive.
Object compatibility
1 of 8 objects need a manual workaround.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Pulse Digital Clinic: Not applicable — APIs explicitly not available.
Data volume sensitivity
Pulse Digital Clinic doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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