CRM migration
Field-level mapping, validation, and rollback between Pulse Digital Clinic and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Pulse Digital Clinic
Source
Freshsales
Destination
Compatibility
9 of 12
objects map 1:1 between Pulse Digital Clinic and Freshsales.
Complexity
BStandard
Timeline
24–72 hours
Overview
Pulse Digital Clinic is a medical practice management platform built for single- and multi-physician dental, homeopathy, dermatology, and general healthcare clinics. Its data model centers on patient records with registration details, clinical notes, appointment schedules, billing invoices, e-prescriptions, and campaign management for patient outreach. Freshsales CRM from Freshworks models its core around Leads, Contacts, Accounts, and Opportunities (called Deals in Freshsales), with support for custom modules, contact lifecycle stages, multiple sales pipelines with Kanban views, and built-in telephony and chat. The migration from Pulse to Freshsales is not a direct feature-to-feature swap — Pulse's clinical record structure (allergies, blood group, chronic conditions, treatment plans, prescriptions) has no native equivalent in Freshsales, so these map to custom fields and custom modules. FlitStack AI sequences the migration: patients become Contacts, clinics or referring practices become Accounts, open billing or treatment-plan items become Deals, and appointments migrate as Tasks. Original creation timestamps and practitioner owner assignments are preserved. We use Pulse's data export capability (CSV/API where available) and load into Freshsales via its bulk import API. Workflows and automations do not migrate — these must be rebuilt in Freshsales's automation builder. A 24–48 hour delta-pickup window captures any records created or modified during the cutover window.
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 Freshsales, 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 Record
Freshsales
Contact
1:1Pulse patient records map directly to Freshsales Contacts using a one-to-one relationship where possible. The patient's full name splits into first_name and last_name fields; email and phone become standard Contact communication fields; date of birth maps to the Contact date_of_birth field for age-based segmentation. The patient's physical address transfers to the Contact address fields for geographic analysis. Critically, the original Pulse patient ID is stored as Source_System_ID__c on the Contact record to ensure traceability back to the source system and to enable accurate deduplication during delta-run synchronization without creating duplicate patient records.
Pulse Digital Clinic
Patient Record (inactive/lapsed)
Freshsales
Lead
1:manyPatients with no appointment in the last 18 months and no open billing are classified as Lapsed in Pulse. These route to Freshsales Lead rather than Contact so the clinic's sales team can run re-engagement sequences. Active patients always land as Contacts.
Pulse Digital Clinic
Clinic / Referring Practice
Freshsales
Account
1:1Pulse stores referring clinic or partner practice details including the clinic name, contact information, and address. These map to Freshsales Accounts with the clinic name populating the Account Name field, the website URL mapping to the Website field, and the address details transferring to the billing address section. For multi-location clinic networks, each distinct physical location creates a separate Account record with Parent Account linking established to maintain the hierarchical relationship between satellite offices and the primary clinic entity, enabling rollup reporting across all locations.
Pulse Digital Clinic
Appointment
Freshsales
Task
1:1Pulse appointments with practitioner, date, time, and status map to Freshsales Tasks. The appointment date and time become the Task Due Date; status (Scheduled, Completed, Cancelled, No-Show) maps to Freshsales Task Status via value mapping. Practitioner assignment becomes Task Owner.
Pulse Digital Clinic
Treatment Plan
Freshsales
Deal
1:1Active treatment plans with a defined fee map to Freshsales Deals. Deal Name is the treatment plan identifier; Deal Amount is the estimated treatment cost; Deal Stage maps from treatment status (Plan Created → Appointment Set, In Progress → Follow Up, Completed → Won). Closed or abandoned plans map to Lost.
Pulse Digital Clinic
Billing / Invoice
Freshsales
Deal
many:1Pulse billing records for a single patient are merged into the corresponding Freshsales Deal. If no treatment plan Deal exists, a billing Deal is created with the invoice amount, invoice number stored as Deal Name, and billing status mapped to Freshsales Deal Stage (Pending → Follow Up, Paid → Won, Overdue → Negotiation).
Pulse Digital Clinic
E-Prescription
Freshsales
Custom Module (Prescription)
1:1Pulse e-prescription records have no Freshsales native equivalent. We create a Prescription custom module in Freshsales Enterprise with fields for medication name, dosage, frequency, prescribing physician, and linked Contact. Each prescription links to the patient Contact via a lookup relationship.
Pulse Digital Clinic
Campaign / Patient Outreach
Freshsales
Campaign
1:1Pulse campaign records (SMS or notification campaigns to patient lists) map to Freshsales Campaigns. Campaign Members are the patient Contacts who were targeted. Note that Freshsales campaign execution is separate from Pulse campaign logic — the target list migrates, the automation does not.
Pulse Digital Clinic
Clinical Notes / Observations
Freshsales
Note
1:1Pulse clinical observation notes attached to patient records are extracted and migrated as Freshsales Notes linked to the corresponding Contact record. The original note creation timestamps and the practitioner author information are preserved in the Note metadata to maintain clinical documentation provenance. Where the Pulse export format supports rich-text formatting such as bold text, bullet lists, or embedded images, that formatting is retained in the Freshsales Note body to preserve the original clinical note structure and readability for practitioners reviewing patient history.
Pulse Digital Clinic
Practitioner / Doctor
Freshsales
User
1:1Pulse practitioner records (name, specialization, email, phone) map to Freshsales Users. Email is the match key — if a Freshsales User with the same email exists, the practitioner record links directly. Otherwise, the practitioner is flagged for account creation before migration so all Task and Deal owners resolve correctly.
Pulse Digital Clinic
Payment Record
Freshsales
Deal Line Item / Custom Field
many:1Individual payment transactions recorded under a Pulse billing record are preserved as custom fields on the corresponding Freshsales Deal to maintain a complete payment audit trail. These custom fields include Amount_Paid__c to capture the payment amount, Payment_Date__c to record when the payment was received, and Payment_Method__c to document the payment channel used such as cash, card, or online transfer. For comprehensive accounting history and audit compliance purposes, the full payment transaction log is also attached as a Note to the Deal, preserving the original payment record details that may include partial payments, refunds, or payment plan installments.
Pulse Digital Clinic
Custom Fields (Pulse extensibility)
Freshsales
Custom Fields on Contact / Custom Module
1:1Pulse allows per-practice custom fields. Each custom field is evaluated: if it holds scalar data (text, number, date) it becomes a custom field on Contact. If it holds complex or multi-value data it becomes a field on the relevant custom module. Freshsales Enterprise is required for custom modules; lower plans receive scalar custom fields only.
| Pulse Digital Clinic | Freshsales | Compatibility | |
|---|---|---|---|
| Patient Record | Contact1:1 | Fully supported | |
| Patient Record (inactive/lapsed) | Lead1:many | Fully supported | |
| Clinic / Referring Practice | Account1:1 | Fully supported | |
| Appointment | Task1:1 | Fully supported | |
| Treatment Plan | Deal1:1 | Fully supported | |
| Billing / Invoice | Dealmany:1 | Fully supported | |
| E-Prescription | Custom Module (Prescription)1:1 | Fully supported | |
| Campaign / Patient Outreach | Campaign1:1 | Fully supported | |
| Clinical Notes / Observations | Note1:1 | Fully supported | |
| Practitioner / Doctor | User1:1 | Fully supported | |
| Payment Record | Deal Line Item / Custom Fieldmany:1 | Fully supported | |
| Custom Fields (Pulse extensibility) | Custom Fields on Contact / Custom Module1:1 | 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
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
Pulse data extraction and discovery
FlitStack works with the Pulse Digital Clinic administrator to export patient records, appointments, billing invoices, prescriptions, and campaign data via Pulse's built-in Data Import/Export tool. We pull data in CSV batches (by physician, by year, or by module depending on volume) to avoid export limits. During extraction, we validate field coverage against the Pulse data dictionary — if any required fields are missing from the export, we surface the gap before mapping begins. This phase also includes identifying practitioner user accounts in Freshsales so owner resolution can proceed in the next step.
Freshsales schema provisioning and owner resolution
Before data can land in Freshsales, we create the custom fields on Contact (MRN__c, blood_group__c, allergies__c, chronic_conditions__c), the custom module for prescriptions (Prescription__c), and any custom fields on Deal for billing tracking (Payment_Method__c, Amount_Paid_Date__c). Simultaneously, we resolve Pulse practitioner email addresses against Freshsales User accounts by email match. Practitioners with no Freshsales account are flagged — the clinic creates those users before migration so Task and Deal ownership resolves without fallback reassignment. We deliver a schema setup checklist so Freshsales admins can pre-create the required fields.
Sample migration with field-level diff
A representative slice migrates first — typically 100–500 patient records spanning multiple practitioners, a sample of appointments from each status bucket, and a few billing records. We generate a field-level diff report showing every mapped field, its source value in Pulse, and its resulting value in Freshsales. The clinic's team reviews the diff to confirm lifecycle-stage routing (Active → Contact, Lapsed → Lead), billing deal staging, and custom field population. No full migration runs until the sample passes review. This step catches data-quality issues (duplicate emails, missing required fields) before they affect the entire dataset.
Full migration with delta-pickup cutover
The full dataset migrates in sequence: Accounts first (referring clinics), then Contacts and Leads (patients), then Deals (treatment plans and billing), then Tasks (appointments), then Notes and Prescription custom module records. We maintain referential integrity — AccountId on Contacts resolves before Contacts load, Deal associations resolve after Contacts. A delta-pickup window (24–48 hours) runs alongside the cutover: any patient records, appointments, or billing items created or modified in Pulse during the migration window are captured and synced to Freshsales before final go-live. The audit log records every operation; one-click rollback is available if reconciliation identifies unexpected gaps.
Post-migration reconciliation and workflow rebuild handoff
FlitStack delivers a reconciliation report comparing Pulse record counts and field totals against Freshsales loaded counts. Discrepancies (missing records, empty required fields, duplicate emails) are flagged and resolved. We hand off the Pulse workflow definitions as a structured rebuild reference so the clinic's Freshsales administrator can reconstruct appointment reminders, patient Drip sequences, and campaign logic in Freshsales Workflows or Sequences. The migration is complete from the data side; the automation rebuild is a separate configuration engagement the clinic can pursue independently or with FlitStack support.
Platform deep dives
Pulse Digital Clinic
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a manual workaround.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Pulse Digital Clinic and Freshsales.
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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