CRM migration

Migrate from Pulse Digital Clinic to Freshsales

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 logo

Pulse Digital Clinic

Source

Freshsales

Destination

Freshsales logo

Compatibility

75%

9 of 12

objects map 1:1 between Pulse Digital Clinic and Freshsales.

Complexity

BStandard

Timeline

24–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Pulse Digital Clinic logo

Pulse Digital Clinic

What's pushing teams away

  • No public API or programmatic access means integrations with third-party tools are impossible, forcing clinics to use workarounds or manual data re-entry for any external systems.
  • Customization is explicitly not possible according to the vendor, limiting clinics with specialized workflows, unique charting requirements, or specialty-specific needs beyond general EMR.
  • WhatsApp integration carries an additional subscription cost on top of the base price, creating an unexpected line-item that adds up across multiple practitioners.
  • As a small-vendor India-focused product, clinics worry about long-term viability, vendor lock-in, and the difficulty of migrating away if the vendor sunsets the product.
  • Reporting and analytics are described as basic historical reporting, which frustrates growing practices that need revenue cycle analytics, clinical outcome tracking, or multi-location performance dashboards.

Choosing

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How Pulse Digital Clinic objects map to Freshsales

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

maps to

Freshsales

Contact

1:1
Fully supported

Pulse 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)

maps to

Freshsales

Lead

1:many
Fully supported

Patients 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

maps to

Freshsales

Account

1:1
Fully supported

Pulse 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

maps to

Freshsales

Task

1:1
Fully supported

Pulse 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

maps to

Freshsales

Deal

1:1
Fully supported

Active 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

maps to

Freshsales

Deal

many:1
Fully supported

Pulse 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

maps to

Freshsales

Custom Module (Prescription)

1:1
Fully supported

Pulse 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

maps to

Freshsales

Campaign

1:1
Fully supported

Pulse 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

maps to

Freshsales

Note

1:1
Fully supported

Pulse 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

maps to

Freshsales

User

1:1
Fully supported

Pulse 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

maps to

Freshsales

Deal Line Item / Custom Field

many:1
Fully supported

Individual 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)

maps to

Freshsales

Custom Fields on Contact / Custom Module

1:1
Fully supported

Pulse 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.

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.

Pulse Digital Clinic logo

Pulse Digital Clinic gotchas

High

No public API forces manual or custom extraction

High

WhatsApp conversation history is non-exportable

Medium

Medical records require field-level schema mapping

Medium

Lifetime license holders face migration timing pressure

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • Pulse has no public REST API — data extraction requires CSV export or manual database access

    Pulse Digital Clinic's product specification lists 'APIs Available: No' and 'Customization Possible: No'. This means there is no authenticated REST or GraphQL endpoint to pull patient records programmatically. The only supported extraction path is Pulse's built-in Data Import/Export feature, which produces CSV files. For large clinics with thousands of patient records, the CSV export must be run in batches (typically per-year or per-physician) to avoid export timeouts. FlitStack coordinates with the clinic's Pulse administrator to stage these exports and validate field completeness before mapping begins. This extraction step adds 1–3 days to the discovery phase compared to API-based migrations.

  • Freshsales contact lifecycle stages have no healthcare equivalent — patient status mapping requires clinic input

    Freshsales uses Contact Lifecycle Stages (Subscriber, Lead, MQL, SQL, Customer, Evangelist) as the primary status dimension for contacts. Pulse's patient model has no equivalent: patients are either Active or Inactive, with no lead/prospect concept since the product is not a sales CRM. FlitStack maps Active patients to Freshsales Customer stage and Lapsed patients (no appointment in 18 months) to Lead stage. However, clinics that use Pulse for referral tracking where a referral is not yet a patient need to decide: does a referred contact become a Freshsales Lead or Contact? This decision affects pipeline reporting and must be agreed upon before migration runs. We surface this as a pre-migration configuration choice, not an automated default.

  • Freshsales custom modules require Enterprise plan — scalar clinical fields on Contact are the only option on lower tiers

    Freshsales Enterprise (Forest plan at $79/user/month) is required to create custom modules. The Pulse data model includes e-prescription records, treatment plans, and clinical notes that do not fit as scalar Contact fields. On Growth ($9) or Pro ($39) plans, these complex records must be flattened: e-prescription medication lists become text fields on Contact, treatment plans become Deals with custom fields, and clinical notes remain Notes. The clinic must decide whether to upgrade to Enterprise for the migration or accept the flattened schema on a lower tier. FlitStack delivers the migration with schema recommendations for both paths so the clinic can make an informed plan decision before data moves.

  • Appointment migration to Tasks loses Pulse's calendar slot structure and conflict detection

    Pulse appointment records store slot booking with conflict detection — a practitioner cannot be double-booked. Freshsales Tasks have no such constraint: any user can have any number of overlapping tasks. When appointments migrate as Tasks, the appointment-time conflict logic does not transfer. This means if Pulse had a strict scheduling enforcement that prevented double-booking, Freshsales will not enforce it natively. We preserve the appointment date, time, practitioner assignment, and status in the Task record, but calendar conflict rules must be reconfigured in Freshsales using Freshsales Calendar's availability settings or a third-party scheduling integration after migration.

  • Pulse workflows and automations are not portable — appointment reminders, patient Drip sequences, and campaign logic must be rebuilt

    Pulse stores workflow configurations for appointment reminders, patient follow-up notifications, and campaign Drip sequences internally. Freshsales has its own workflow builder (Custom Workflows in Growth+, Sequences in Pro) that is completely incompatible with Pulse's automation logic — there is no export format that converts Pulse workflows to Freshsales Flow or Freshsales Sequences. FlitStack exports Pulse workflow definitions as a written rebuild reference document, listing each trigger, condition, and action. The clinic's Freshsales administrator uses this as a specification to rebuild automations in Freshsales. This is explicitly outside the data migration scope and should be budgeted as a separate configuration effort.

Migration approach

Six steps for a successful Pulse Digital Clinic to Freshsales data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

Context on both ends of the pair

Pulse Digital Clinic logo

Pulse Digital Clinic

Source

Strengths

  • All-in-one EMR, scheduling, billing, and patient management in a single subscription.
  • Affordable pricing with a lifetime purchase option reducing long-term costs for small practices.
  • WhatsApp integration for patient communication through a familiar channel widely used in India.
  • Multi-physician and multi-clinic management from a single account.
  • Consistent backend support praised across long-term user reviews spanning 5+ years.

Weaknesses

  • No public API or programmatic access limits integrations and automated data extraction.
  • Explicitly no customization, restricting use for specialty practices with unique workflows.
  • Basic historical reporting insufficient for growing practices needing advanced analytics.
  • WhatsApp integration carries an additional recurring cost beyond the base subscription.
  • Small-vendor risk: limited evidence of enterprise-grade security certifications or regulatory compliance documentation beyond general EMR claims.
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 of 8 objects need a manual workaround.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Pulse Digital Clinic and Freshsales.

  • Object compatibility

    B

    1 of 8 objects need a manual workaround.

  • 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

    Pulse Digital Clinic: Not applicable — APIs explicitly not available.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Pulse Digital Clinic to Freshsales 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 Pulse Digital Clinic to Freshsales data migrations

Answers to the questions buyers ask most during Pulse Digital Clinic to Freshsales migration scoping. Not seeing yours? Book a call.

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Most Pulse-to-Freshsales migrations complete in 24–72 hours of clock time for clinics with under 10,000 patient records and straightforward billing records. The longest phase is Pulse data extraction — since Pulse has no public API, CSV exports run in batches and must be validated before mapping begins. Clinics with over 50,000 records, multi-physician branching, or complex prescription modules extend to 5–7 days. The critical path is the Pulse extraction + Freshsales schema provisioning sequence before any data moves.

Adjacent paths

Related migrations to explore

Ready when you are

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