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Recurring Hospital Provider Directory Data Collection

For more than three years, Orzaen has supported a U.S. healthcare planning organization with recurring provider-data collection across changing hospital, health-system, practice, and physician-directory sources. Each request is collected fresh and delivered as one structured CSV per source for downstream provider planning and market analysis.

Delivered Recurring delivery over 3+ years•Healthcare Planning Organization (Confidential)•Recurring delivery over 3+ years
3+ years

Recurring Delivery

5–20 sources

Typical Batch

1 CSV per source

Delivery Structure

6–12 months when requested

Refresh Cycle

A healthcare planning organization needed reliable provider rosters for changing hospital markets without assigning analysts to research dozens of directories manually.

Orzaen developed a repeatable, source-specific collection process that could adapt to each new source list while preserving a consistent base schema.

The result was a recurring delivery system for fresh, source-level provider files that could be used as inputs for provider development planning, physician-supply research, community needs assessments, specialty-gap analysis, and related market work performed by the client.

Behind the Scenes

How the system moved from problem to controlled execution.

01

Problem

Each healthcare planning engagement required a fresh view of provider supply in a different market, but the relevant provider records were fragmented across hospital, health-system, practice, and physician-directory websites. Source lists changed from one engagement to another. Provider names, credentials, specialties, practices, phone numbers, addresses, and identifiers appeared in inconsistent layouts. Researchers needed a consistent working schema without manually reviewing every profile. Previously collected sources sometimes needed a complete refresh after 6–12 months.

02

System Built

Orzaen built and maintained source-specific collection workflows for the public provider directories approved for each engagement. A typical batch covered 5–20 sources, normalized the agreed core fields, preserved source-specific fields when published, and produced one QA-checked CSV for every source. Workflow covered: scope confirmation by market, specialty, organization, and field requirements; source review and field mapping; source-specific listing and profile extraction; normalization into a consistent provider schema; duplicate and missing-field checks; source-level CSV delivery; and complete fresh recollection when a source returned in a later cycle.

03

What Changed

3+ years of recurring provider-data delivery. 5–20 public provider sources in a typical batch. One structured CSV delivered per source. Fresh full collection for every approved request. Core provider schema maintained across changing source lists. 6–12 month recollection cycles used when an earlier market required a new snapshot.

Before / After

What changed after the system was rebuilt.

01

Provider research

Before

Manual review across fragmented public directories

After

Structured provider rows collected from every approved source

02

Schema consistency

Before

Different fields and layouts on every website

After

Consistent core schema with source-specific fields preserved

03

Delivery organization

Before

Mixed records from unrelated sources

After

One QA-checked CSV per source

04

Market refresh

Before

Earlier exports no longer represented the current source

After

Complete fresh recollection when requested after 6–12 months

Delivery Scope

What was included in the system delivery.

Source review and provider-field map

Source-specific hospital and provider-directory collection workflows

Normalized provider records in the agreed core schema

One structured CSV per approved source

Source-level QA notes and field-availability handling

Fresh recollection for returning sources when requested

Controls

Checks built in to keep the workflow reliable.

Every source is reviewed separately before collection begins

Core fields are normalized without inventing missing values

Source-specific fields are preserved when they are relevant to the scope

Duplicate and missing-field checks are performed before delivery

Each source is delivered separately to maintain clear provenance

A returning source is recollected fresh instead of reusing an earlier export

Tools & Stack

Tools used to build, connect, and deliver this system

PPython
RARequests and browser-based extraction
SPSource-specific parsing workflows
DNData normalization
DADuplicate and field-level QA
CDCSV delivery

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