Doximity Physician Phone and Fax Data Extraction
A healthcare data buyer needed a narrow, source-specific subset of physician contact fields from Doximity profiles. Orzaen collected physician name, publicly listed phone, fax, and state values from the approved scope and delivered the records in a consistent structure without adding inferred or patient information. Doximity is identified only as the project source; this case study does not imply affiliation or endorsement.
Case visual
Add gallery images to show system screenshots, dashboards, workflow outputs, or delivery samples.
Requested Fields
Source Scope
Data Policy
Patient Data
A healthcare data buyer needed a specific physician contact subset rather than an oversized prebuilt database.
Orzaen limited the work to the approved source and requested fields, converted the available profile information into consistent rows, and handled missing values conservatively.
The result was a focused, source-specific physician dataset that matched the buyer's actual research requirement without unnecessary fields or unsupported enrichment.
Behind the Scenes
How the system moved from problem to controlled execution.
Problem
The buyer did not need a broad national physician database or a large enrichment package. The requirement was a defined subset of public professional fields from one named healthcare source. Only physician name, phone, fax, and state were required. Profiles could omit one or more requested contact fields. The output needed consistent rows suitable for filtering and downstream review. Unavailable values could not be guessed or replaced with unrelated third-party data.
System Built
Orzaen mapped the requested public fields on the approved Doximity profile subset, built a source-specific extraction workflow, normalized state and contact values, retained blank values where a profile did not publish a requested field, and prepared a structured delivery for the client. Workflow covered: scope and field confirmation; profile-set collection; physician-name parsing; public phone and fax extraction; state normalization; missing-value handling; duplicate review; and structured file delivery.
What Changed
Four requested physician fields delivered in a consistent schema. Public phone and fax values retained only when published. State-aligned records prepared for filtering and research. Missing values left explicit instead of being inferred. No patient data or clinical records collected.
Before / After
What changed after the system was rebuilt.
Profile research
Before
Manual review of individual physician profiles
After
Requested public fields organized in structured rows
Field scope
Before
Broad source profiles containing unrelated information
After
Only name, phone, fax, and state retained
Missing values
Before
Unclear whether absent values had been inferred
After
Unpublished values left explicitly missing
Data sensitivity
Before
Potential ambiguity about healthcare-data scope
After
Public professional profile fields only; no patient data
Delivery Scope
What was included in the system delivery.
Source-specific physician profile collection workflow
Physician name field
Public phone and fax fields when published
Normalized state field
Structured file with transparent missing values
Controls
Checks built in to keep the workflow reliable.
Collection limited to the approved profile subset and requested fields
Only publicly listed professional contact values are retained
Missing phone or fax values are not guessed or filled from unrelated sources
State values are normalized for consistent filtering
Duplicate rows are reviewed before delivery
No patient data or clinical records are collected
Tools & Stack
Tools used to build, connect, and deliver this system
Similar System
Want similar results?
Share the manual process, messy data flow, or system gap you want to fix. We will help you understand what can be rebuilt into a controlled operating system.