SSIS in Action: Health Resource Survey
How we replaced manual patient-data handling with an automated SSIS ETL pipeline for a US healthcare client.
Healthcare
Industry
USA
Client Location
6+
Years Engagement
100%
Automated Pipeline
A US-based healthcare client was managing patient details from disparate files through slow, manual processes. Over a 6+ year engagement, MagnusMinds delivered an automated SSIS-based ETL pipeline — filtering patient data, generating XML via C#, transmitting through REST APIs, and surfacing insights through SSRS reports.
What We Delivered
Automated SSIS ETL Packages
SSIS packages that read and filter patient details from diverse files, replacing slow, error-prone manual processing.
C# XML Generation
Custom C# scripting within the pipeline to generate structured XML outputs from the filtered patient data.
REST API Data Transmission
REST APIs deployed to transmit processed data reliably between systems and the client portal.
Scheduled Batch Processing
Windows Task Scheduler automation orchestrating the entire batch pipeline end to end, hands-free.
SSRS Insight Reports
Integrated SSRS reports delivering comprehensive insight into patient activity and survey responses.
Reliable Error Handling
Built-in logging, checkpoints, and error handling to keep the data pipeline accurate and dependable.
Key Services & Benefits
Reduced Manual Effort
Automation eliminated time-consuming manual filtering and posting of patient details.
Fewer Errors
Removing manual steps significantly reduced the risk of human error in patient data handling.
Actionable Insight
SSRS reporting gave the client clear visibility into patient activity and responses.
User-Friendly Solution
A streamlined, easy-to-use management solution that satisfied the client's needs.
The Engagement
The Challenge
The client struggled with inefficiencies managing patient details across various files — manual filtering and portal posting that was time-consuming and error-prone.
The Solution
An automated SSIS workflow to read and filter patient details, with C# scripting to generate XML and REST APIs for data transmission.
Automation
Task Scheduler automated the full batch processing pipeline, running reliably without manual intervention.
The Outcome
Integrated SSRS reports delivered patient insights, reducing manual effort and error risk in a user-friendly solution.
Technologies Used
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