CRM migration
Field-level mapping, validation, and rollback between PANDA Perio and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
PANDA Perio
Source
Pipedrive
Destination
Compatibility
10 of 10
objects map 1:1 between PANDA Perio and Pipedrive.
Complexity
BStandard
Timeline
48–72 hours
Overview
PANDA Perio stores periodontal patient records in a SQL Server backend — patients, providers, pocket depth measurements, treatment plans, radiograph findings, and generated letters. It has no public REST API, so FlitStack accesses the database directly to extract records for migration into Pipedrive's People, Organizations, and Deals objects. The migration maps patient demographics to Pipedrive People fields, provider credentials to Pipedrive Users, and the full periodontal clinical record — including pocket depths, recession, BOP scores, furcation involvement, tooth mobility, and AAP classification — into Pipedrive custom fields on Deals. Letter templates and reports generated by PANDA Perio's template engine have no equivalent in Pipedrive; we export those as reference documents for manual rebuild. We sequence the load as Organizations first (referring practices), then People (patients) linked to them, then Deals (treatment plans) with clinical fields, and finally Activities. A sample migration with field-level diff runs before the full cutover so your team validates clinical field accuracy before Pipedrive goes live.
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 PANDA Perio 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.
PANDA Perio
Patient
Pipedrive
Person
1:1PANDA Perio patient records (chart number, name, DOB, contact info, insurance) map directly to Pipedrive Person. FlitStack resolves each patient's referring practice as an Organization link. If a patient has multiple referring providers, each referring practice becomes a separate Organization, and the patient Person record links to all applicable Organizations. HIPAA field handling is documented in the data processing addendum before migration begins.
PANDA Perio
Provider
Pipedrive
User
1:1PANDA Perio provider records (name, credentials, NPI, specialty) map to Pipedrive Users by email match. Providers who will actively use Pipedrive are invited before migration; inactive providers are stored as custom fields on the relevant Deals for historical attribution without creating Pipedrive user seats.
PANDA Perio
Treatment Plan
Pipedrive
Deal
1:1Each PANDA Perio treatment plan becomes a Pipedrive Deal. The plan name maps to Deal title, estimated value maps to Deal value, and plan phase maps to a custom field. Deal stage is initialized to a configurable default stage (e.g., 'Treatment Planning') with manual stage progression defined by the practice post-migration.
PANDA Perio
Referring Practice
Pipedrive
Organization
1:1PANDA Perio stores referring dentist practices as contact entities. These map to Pipedrive Organizations. The organization's address, phone, and specialty (GP, Oral Surgery, etc.) populate the corresponding Pipedrive Organization fields. Custom fields capture referral source type if used for reporting.
PANDA Perio
Visit / Clinical Encounter
Pipedrive
Activity
1:1PANDA Perio visit records — date, provider, type of visit (initial exam, maintenance, surgical) — map to Pipedrive Activities. Each Activity is linked to the Person (patient) and optionally to the Deal (treatment plan) it relates to. Activity type field is set to 'Visit' or 'Clinical Note' to distinguish from standard sales calls.
PANDA Perio
Pocket Depth Measurements
Pipedrive
Custom Field (Deal)
1:1PANDA Perio records six-point pocket depth measurements per tooth. These migrate to a custom field group on the Deal — stored as a text block or structured JSON field depending on the practice's reporting needs. Full per-site measurements are preserved; summary statistics (e.g., full-mouth bleeding score) are extracted as separate numeric custom fields.
PANDA Perio
Radiograph / Imaging Records
Pipedrive
Custom Field (Deal / Person)
1:1PANDA Perio records radiograph type and findings (PA, BW, FMX, periapical status). These migrate as a custom field on the Deal and/or Person. Image files are re-hosted in Pipedrive Files with a link stored in the custom field. Note that Pipedrive's file attachment limit is 100MB per file; larger imaging files require a separate PACS or DMS reference.
PANDA Perio
AAP Periodontal Classification
Pipedrive
Custom Field (Deal)
1:1PANDA Perio records the 2017 AAP classification (e.g., Stage III Grade C, localized periodontitis). This pick-list value migrates to a Pipedrive custom pick-list field on the Deal. The grade and stage components are stored separately as numeric and text custom fields for reporting filters.
PANDA Perio
Insurance / Payer Information
Pipedrive
Custom Field (Person)
1:1PANDA Perio stores insurance carrier, group number, and subscriber relationship. These migrate as custom fields on the Pipedrive Person. If the practice uses Pipedrive for billing coordination, a separate Insurance custom object can be created with a Person relationship — surfaced in the migration plan for the admin to configure.
PANDA Perio
Letter Template Output
Pipedrive
External Document Reference
1:1PANDA Perio's dynamic letter engine generates referral letters, SOAP notes, and patient motivation reports from clinical findings. Pipedrive has no equivalent template engine. FlitStack exports generated letters as PDF files and stores them in Pipedrive Files. For future letter generation, Pipedrive Smart Docs or an external template tool (e.g., DocuSign, Mailchimp) must be configured separately — we provide the letter template content as a rebuild reference.
| PANDA Perio | Pipedrive | Compatibility | |
|---|---|---|---|
| Patient | Person1:1 | Fully supported | |
| Provider | User1:1 | Fully supported | |
| Treatment Plan | Deal1:1 | Fully supported | |
| Referring Practice | Organization1:1 | Fully supported | |
| Visit / Clinical Encounter | Activity1:1 | Fully supported | |
| Pocket Depth Measurements | Custom Field (Deal)1:1 | Fully supported | |
| Radiograph / Imaging Records | Custom Field (Deal / Person)1:1 | Fully supported | |
| AAP Periodontal Classification | Custom Field (Deal)1:1 | Fully supported | |
| Insurance / Payer Information | Custom Field (Person)1:1 | Fully supported | |
| Letter Template Output | External Document Reference1:1 | 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.
PANDA Perio gotchas
No public API — database extraction requires SQL Server access
SQL Server Express 10GB limit can be migration-blocking
Open Dental bridge passes IDs only, not clinical data
Treatment plan PMS codes differ from clinical letter descriptions
Custom periodontal findings are practice-specific
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
Database access and schema discovery
FlitStack's engineering team establishes a secure connection to the PANDA Perio SQL Server instance — either via direct on-premises access, a VPN-tunneled remote connection, or a database backup file. We document all tables related to patients, providers, treatment plans, clinical findings, and visits. Any custom tables or non-standard schemas are flagged for the practice admin to explain. A schema map is delivered before any data extraction begins, and the practice signs off on the table inventory.
Design Pipedrive custom field schema
Based on the schema discovery, FlitStack designs the Pipedrive custom field set — periodontal measurement fields, AAP classification fields, procedure codes, radiograph fields, and insurance fields. We deliver a custom field specification document listing each field name, type (text, numeric, pick-list, date), and which Pipedrive object it belongs to. The practice admin creates these fields in Pipedrive before migration; FlitStack verifies field keys via API after creation and matches them to the extraction scripts.
Extract, transform, and validate a sample
A representative sample — typically 100-200 patient records spanning different providers, treatment plan statuses, and clinical complexity — is extracted from the PANDA Perio database, transformed into the Pipedrive field schema, and loaded into Pipedrive's sandbox environment (or the live account if no sandbox is available). FlitStack generates a field-level diff showing every mapped field, source value, and destination value. The practice reviews the sample to confirm clinical field accuracy, Organization-Person-Deal linkage, and Activity timestamps before the full migration is authorized.
Full migration with delta pickup
The full dataset loads into Pipedrive using batched API writes that respect rate limits. A delta-pickup window — typically 24 hours after the initial load — captures any records created or modified in PANDA Perio during the migration window. FlitStack generates an audit log of every record created, updated, or skipped with reason codes. One-click rollback reverts all migrated records if the practice identifies data quality issues during post-migration review. After sign-off, the migration is marked complete and PANDA Perio remains accessible read-only for a 30-day reference period.
Platform deep dives
PANDA Perio
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across PANDA Perio and Pipedrive.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
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
PANDA Perio: Not publicly documented.
Data volume sensitivity
PANDA Perio 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
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during PANDA Perio to Pipedrive migration scoping. Not seeing yours? Book a call.
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