Academic Medical Center Faculty and Provider Data Extraction
Orzaen collected deeper professional and institutional provider fields from public academic medical-center and faculty directories. The work extended beyond basic physician identity data to preserve faculty title, department, education or graduation year, practice location, and network affiliation when each source published them.
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Field Depth
Delivery Structure
Field Policy
Patient Data
A standard provider database did not contain the institutional detail required for the client's research. The needed context was available across public academic medical-center profiles, but only in source-specific layouts and narrative sections.
Orzaen mapped those layouts and converted the available professional and institutional information into a consistent dataset while retaining source-dependent coverage.
The client received a structured input for academic-provider, workforce, specialty, and affiliation analysis without Orzaen making credentialing or strategic conclusions from the data.
Behind the Scenes
How the system moved from problem to controlled execution.
Problem
Academic medical-center directories contain valuable institutional context, but they do not publish it in a uniform format. Faculty titles and departments may appear on listing pages, individual profiles, or separate biography sections. Education and graduation year are frequently embedded in free text. A provider may be associated with several practices, hospitals, departments, or locations. The client needed a consistent research dataset without treating absent fields as verified negatives.
System Built
Orzaen created source-specific extraction maps for each approved academic directory and separated core provider fields from optional institutional fields. Listing and detail pages were combined where necessary, free-text education and title sections were parsed conservatively, repeated affiliations were preserved, and one source-level CSV was delivered for review. Workflow covered: source and field audit; listing and profile URL discovery; identity and specialty extraction; department and faculty-title parsing; education and graduation-year capture when explicitly published; practice, location, and affiliation normalization; and field-level QA before delivery.
What Changed
Deeper academic-provider context captured beyond standard name and specialty fields. Faculty titles and departments preserved when published. Education and graduation year captured only when explicitly available. Multiple locations and affiliations retained without collapsing the source record. One structured, source-level CSV prepared for downstream healthcare research.
Before / After
What changed after the system was rebuilt.
Institutional context
Before
Basic provider identity without consistent academic detail
After
Faculty title, department, education, and affiliations when published
Source structure
Before
Relevant fields spread across listings, profiles, and biographies
After
Combined source fields in one structured row
Multiple affiliations
Before
Hospital, practice, and department relationships mixed in page text
After
Repeated locations and affiliations preserved explicitly
Missing fields
Before
Risk of treating an absent field as a negative fact
After
Unpublished fields left missing and source coverage retained
Delivery Scope
What was included in the system delivery.
Academic medical-center source and field map
Provider listing and profile collection workflow
Structured faculty-title and department fields
Education and graduation-year fields when published
Practice-location and affiliation fields
One QA-checked CSV per approved source
Controls
Checks built in to keep the workflow reliable.
Only explicitly published professional and institutional fields are captured
Absent education, title, or affiliation values are not inferred
Listing-page and profile-page records are matched before merging
Repeated locations and affiliations are preserved instead of silently dropped
Field formats are normalized while the source meaning is retained
No patient or clinical record data is collected
Tools & Stack
Tools used to build, connect, and deliver this system
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