Use Case

Building an AI Documentation Platform for Behavioral Health

A white-labeled clinical documentation platform spanning mobile and web workflows, provider review, configurable templates, and a reusable architecture for connected EHR workflows.

Illustration representing AI documentation platform case study
Engagement overview

A real healthcare delivery example, generalized for confidentiality

The client name and identifying commercial and technical details are intentionally omitted. The workflow, delivery categories, and rounded outcomes reflect work completed by the team.

The challenge

The client wanted to turn clinical conversations into useful documentation while keeping providers responsible for reviewing and editing the final result.

The product needed to support mobile and web experiences, different documentation workflows, organization-level configuration, secure healthcare operations, and a growing provider base.

The solution

PragmaConnect delivered the application backend and mobile workflow for an AI-enabled documentation product, including appointment and patient context, note preparation, configurable templates, provider review, editing, export, administration, and usage controls.

The architecture separated AI generation from the provider-controlled workflow, allowing the product to evolve independently while preserving review, auditability, and future integration options.

What was delivered

  • White-labeled mobile and web workflows
  • AI-enabled clinical note preparation
  • Provider review and editing experience
  • Configurable templates and workflow rules
  • Organization and user administration
  • Usage monitoring and operational support
Selected outcomes

Operational and product impact

  • Supported rollout across hundreds of healthcare providers
  • Consistent documentation workflow across mobile and web experiences
  • Provider review remained central to the final clinical output
  • Reusable architecture for future EHR-connected capabilities
Technology and implementation

Healthcare - specific foundation

The solution combined healthcare data standards, application engineering, workflow controls, cloud infrastructure, and operational monitoring.

Node.jsTypeScriptReactFlutterPostgreSQLAWSAI ModelsHealthcare Workflow Controls
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