Healthcare providers faced a major challenge in efficiently collecting and analyzing patient financial and clinical data for research and financial assistance programs. The manual process of uploading patient demographics, insurance details, diagnoses, medications, and allergies was time-consuming and error-prone. Retrieving specific patient records, such as past-year data, required manual provider requests, leading to delays in financial aid approvals.
To overcome these challenges, we implemented an automated data integrated solution that seamlessly connected provider systems with a financial assistance platform. Our solution:
🔹 Enabled real-time patient data access through HL7 triggers and FHIR integration.
🔹 Automated data mapping and ingestion, eliminating manual uploads and reducing errors.
🔹 Accelerated financial assistance processing by streamlining eligibility checks and approvals.
🔹 Ensured secure and compliant data exchange, adhering to industry standards.
90% reduction in manual data entry and administrative workload
Real-time access to patient data, eliminating delays in financial assistance approvals
Improved accuracy and compliance through automated data mapping
Faster decision-making with seamless research and analysis capabilities
Scalable solution for future expansion across healthcare networks
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