Background
The client coordinated large-scale preventive care programs for Medicare, Medicaid, and private health plans.
Clinical staff, field providers, schedulers, contact center agents, coders, and billing teams worked across separate systems. Patient status, documentation progress, coding approval, and claims readiness could not be tracked in a single workflow.
As patient volumes increased, manual handoffs created longer processing cycles, duplicated work, and limited visibility into operational delays.
Approach to solution
Computools structured the platform around a single patient lifecycle. Each patient profile connected clinical history, diagnoses, medications, care gaps, visits, assessment forms, coding status, claims, and interaction history.
The platform automatically moved records through the required workflow and routed incomplete or conflicting cases for specialist review.
EHR Integration Complexity
The client operated across multiple EHR systems with different data structures, API capabilities, and synchronization cycles. Computools replaced separate point-to-point connections with a standards-based integration layer using HL7 FHIR R4 for structured data exchange and HL7 v2 for legacy systems.
A normalization layer reconciled inconsistent records, resolved duplicate patient identities, and maintained a single, up-to-date patient profile for clinical and operational teams.
Computools role
Computools acted as the end-to-end delivery partner, responsible for:
- Clinical and operational workflow analysis;
- Product strategy, UX/UI design, and platform architecture;
- Development of a centralized patient data model;
- Bidirectional EHR and payer system integrations;
- AI-assisted documentation and clinical coding support;
- Scheduling, claims, and patient coordination workflows;
- Role-based access control (RBAC), audit trails, testing, launch, and ongoing optimization.
The team worked closely with clinical, coding, operations, and back-office stakeholders to ensure the platform supported real patient workflows, healthcare data requirements, and large-scale program delivery.
Key decisions and outcomes
Several key decisions shaped the platform’s operational impact:
- Creating a single patient-centered system of record across intake, visits, documentation, coding, and claims;
- Using AI-assisted documentation and coding pre-checks while keeping final clinical and coding decisions under human control;
- Building modular integrations and configurable workflows for different health plans, programs, and patient groups.
These choices reduced manual effort by up to 50%, accelerated the visit-to-claim cycle by up to 3x, and enabled the client to scale operations without a proportional increase in administrative headcount.