See how ARDEM supported 300,000+ annual flu-season forms, approximately 2,000 daily COVID testing requisitions, seven-day processing, and a seven-year state health department relationship through one adaptable data operations model.
PUBLIC HEALTH DATA OPERATIONS CASE STUDY
Building a Scalable Public Health Data Operations Model for a State Health Department
300,000+
Annual flu forms
7 years
Department relationship
~2,000/day
COVID requisitions
7 days/week
COVID coverage
Overview
A state health department needed a repeatable operating model for physical healthcare forms across recurring and rapidly changing public health programs. The relationship began with flu immunization questionnaires and expanded to HIV data processing, COVID testing requisitions, and other healthcare initiatives requiring controlled intake, digitization, extraction, validation, exception handling, and reporting.
The Challenge
Flu-season volume exceeded 300,000 forms annually, while COVID response work required support for approximately 2,000 requisition forms per day across seven days a week.
Managing each program as a separate project would duplicate intake, tracking, validation, exception, and reporting activity, while incomplete or unclear information still required a defined review path.
The ARDEM Solution
ARDEM created a controlled document-to-data framework spanning intake and inventory, digitization, structured extraction, validation, exception review, status reporting, and database-ready delivery.
The same operating controls could be reused across programs while field requirements, timing expectations, and reporting needs changed with each public health initiative.
Download the Full
Public Health Data
Operations Case Study
Public Health Data
Operations Case Study
For public health agencies, healthcare operations leaders, program executives, data operations teams, compliance leaders, and shared services organizations managing physical document-to-data workflows.
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Why ARDEM
One controlled sequence could support multiple public health programs.
Physical forms were received, inventoried, and tracked before processing.
Paper records were scanned and converted into database-ready information.
Captured healthcare data was reviewed against defined processing requirements.
Discrepancies and incomplete information were separated for additional attention.
Status visibility and structured delivery supported recurring programs and changing public health needs.Managed Workflow Diagram
The Results
The managed operating model supported more than 300,000 flu immunization forms annually and approximately 2,000 COVID testing requisitions per day during the response period, with COVID processing operating seven days a week. Across a seven-year department relationship, the framework expanded from flu questionnaire processing into HIV data processing and COVID requisitions while retaining common controls for document inventory, digitization, validation, exception review, reporting, and structured delivery.
The 300,000+ Annual Forms Were Only the Visible Problem
The Larger Need Was a Reusable Public Health Data Model That Could Adapt When Programs Changed
The department did not only face high form volume. It had multiple programs with different field requirements, timing expectations, and reporting needs, all dependent on controlled physical-document handling and reliable structured data.
Temporary processing capacity could absorb volume but would not create consistent intake, inventory, validation, exception, reporting, and audit controls across the department.
The stronger operating model was one reusable framework that could scale for seasonal demand and be adapted quickly when new public health requirements emerged.
ARDEM created a managed public health data operations model that supported more than 300,000 annual flu-season forms, approximately 2,000 COVID requisitions per day, seven-day COVID processing, and a seven-year relationship spanning flu, HIV, COVID, and evolving public health workflows.
1
Document Intake
Receive, inventory, and track physical forms.
2
Digitization
Prepare and scan records into accessible digital sources.
3
Data Extraction
Capture required healthcare information into structured fields.
4
Validation
Review captured information against defined requirements.
5
Exception Review
Route discrepancies and incomplete items for additional review.
6
Reporting and Delivery
Track status and deliver structured database-ready outputs.
What You’ll See in the Full PDF
The full case study explains:
- How physical forms were inventoried and tracked from receipt
- How digitization created consistent source records for processing
- How structured extraction supported database-ready public health data
- How validation and exception review protected output quality
- How reporting created visibility into pending, in-review, and completed work
- How one framework expanded across flu, HIV, COVID, and changing program needs
Can Your Public Health Data Workflow Scale Without Rebuilding Its Controls?
Download the case study to see how a reusable managed operating model can support high seasonal volume, emergency programs, validation, reporting, and changing document requirements.