Email-to-Case Automation for Veterinary Healthcare Platforms on AWS

Executive Summary

Clinical case intake doesn’t always begin inside a platform. Referrals, imaging studies, and supporting documents often arrive by email – particularly from external partners and established clinical communication habits that are not easily changed.

Ficode helped build an automated email intake capability for a specialist veterinary planning platform, reducing the manual effort required to process clinical attachments and improving the platform’s ability to support real-world intake workflows.

Client Overview

Specialist veterinary healthcare software provider delivering clinical planning workflows for orthopaedic use cases.

The platform supports product data, clinical intake, imaging/file workflows, case management, planning activity, and operational ownership across a modernised AWS environment.

Business Challenges

Without automation, email-based case intake creates a hidden operational burden that grows with usage. Every incoming email requires someone to:

• Download and identify attachments.
• Extract ZIP archives and convert file formats where needed.
• Validate file types and screen for unsupported or unsafe content.
• Re-upload processed files into the platform manually.
• Link material to the correct case or create a new case record.

This friction slows clinical preparation, introduces inconsistency, and requires operational attention that should be focused elsewhere. For a platform built to improve clinical efficiency, relying on manual intake steps was a meaningful gap between the platform’s promise and its operational reality.

Ficode Solution

Ficode’s healthcare software development team built an AWS-powered Email-to-Case automation platform that automatically processes inbound clinical documents and converts them into structured case records.

The service handles the attachment formats common in veterinary clinical practice: DICOM medical imaging files, ZIP archives containing multiple imaging studies, PDFs, and standard image formats. Attachments are extracted, converted where needed, and validated – with safety-oriented processing to screen unsupported or potentially problematic content before it enters the platform.

The result is a more direct and reliable path from received email to structured case activity, without requiring clinical users to change how they send material into the platform.

Email intake was integrated into the production cloud environment and treated as a production-grade service – with monitoring, cloud integration, and disaster recovery coverage – rather than an isolated component operating outside the platform’s operational model.

Key Features

• Automated the conversion of inbound emails and attachments into structured clinical case activity.
• Reduced manual file handling for image, ZIP, PDF, and DICOM-format attachments.
• Improved support for real-world clinical intake patterns without requiring users to change behaviour.
• Integrated email intake into production cloud and disaster recovery planning as a first-class service.

Implementation Process

• Assessed the relevant product workflow and the operational gaps affecting scale, governance or reliability.
• Designed the target service/API, data model, access model and cloud integration approach.
• Built or enhanced the application capability and connected it with the wider AWS-backed platform operations model.
• Validated the workflow against production-readiness needs including security, monitoring, recovery and handover evidence.

Security & Scalability

• Role-based access, controlled user workflows and secure configuration reduce risk around critical product or clinical data.
• AWS monitoring, backup, disaster recovery and governance evidence supports operational confidence for production use.
• Structured APIs, scalable data models and AWS-managed services provide a foundation for future product and regional growth.

Results & Business Impact

Reduced Manual Effort

Clinical teams and operational staff spend significantly less time manually handling, converting, and uploading email attachments, freeing capacity for higher-value clinical and operational work.

Faster Case Preparation

Incoming material moves through to case workflows more quickly, improving the path from file receipt to clinical use and reducing delays in the early stages of case preparation.

Better Support for Clinical File Types

DICOM, ZIP, and mixed-format attachment handling makes the platform more compatible with how imaging material actually arrives in real veterinary clinical practice, meeting users where they are rather than requiring format changes.

Improved Workflow Flexibility

Users can continue using email as a familiar communication channel while the platform handles intake automatically, reducing friction without requiring behaviour change from clinical teams or their external partners.

Production-Grade Reliability

By treating email intake as part of the production operating environment with monitoring, cloud integration, and DR planning the organisation gained confidence that this workflow is as reliable as any other core platform service.

Additional Numeric Impact to Validate

• 4 attachment categories supported through a structured intake path: DICOM, ZIP, PDF, and standard image files.
• 5 manual intake steps automated or reduced: download, extract, validate, upload, and link-to-case.
• Indicative 30-45% faster movement from inbound email to usable case material once automation is validated in production.
• Indicative 40-60% reduction in manual email attachment handling effort after automation of intake, extraction, validation, and upload workflows.

Conclusion

This Email-to-Case automation project demonstrates how healthcare organisations can leverage AWS cloud services and workflow automation technologies to improve operational efficiency, reduce manual effort, and accelerate clinical case management.