Home Case Studies Laboratory and Imaging Workflows Automation

Explore How We Automated Laboratory and Imaging Workflows for 40% Faster Report Turnaround

Learn how we helped a diagnostic center chain automate laboratory and diagnostic workflows using RPA integrated with LIS, RIS, PACS, and EHR systems, reducing report turnaround time by 40% and ensuring critical results reached physicians within 5 minutes.

IoT Smart Bed Monitoring

Project Overview

A diagnostic center chain with 25+ collection centers, 4 imaging centers, and 2 central laboratories was struggling with fragmented workflows across its Laboratory Information System (LIS), Radiology Information System (RIS), PACS, and EHR. Orders were manually registered, results were manually routed, and critical findings were often delayed. Report turnaround time averaged 48 hours, and critical results sometimes took 6+ hours to reach physicians.

We built an RPA-powered laboratory and diagnostic workflow automation platform from scratch. The solution integrates with LIS, RIS, PACS, and EHR systems to automate order registration, result routing, and critical alert notifications. RPA bots handle data entry, system-to-system communication, and exception handling. The platform ensures that critical results reach physicians within 5 minutes and reduces report turnaround time by 40%.

What Made This Project Different

Multi-System Integration—We Built a Unified Orchestration Layer

LIS, RIS, PACS, and EHR systems don't talk to each other natively. We built an orchestration layer that uses RPA bots to bridge these systems, enabling automated data flow without replacing existing infrastructure.

Critical Results Require Immediate Action—We Built Real-Time Alert Routing

Standard result routing delivers reports to inboxes where they may sit unread. We built a real-time alert routing engine that identifies critical results and pushes them to physicians via secure messaging, SMS, and EHR alerts within 5 minutes.

PACS Integration Is Complex—We Built DICOM-Aware Bots

PACS systems use DICOM standards for imaging data. We built DICOM-aware RPA bots that can query PACS, retrieve imaging reports, and route them to the appropriate systems without manual intervention.

Exception Handling Requires Human-in-the-Loop—We Built Escalation Workflows

Not all cases can be automated. We built escalation workflows that route exceptions to human operators with full context, ensuring no case falls through the cracks.

What Made This Project Different

Challenges

  • Continuous Data Creates Alarm Fatigue

    Manual Order Registration

    Orders from referring physicians were manually entered into LIS and RIS. This created data entry errors, delayed order processing, and increased staff workload.

  • Nurses Need Mobile Alerts, Not Station Alerts

    Fragmented Result Routing

    Results were manually routed between LIS, RIS, PACS, and EHR. This created delays, version control issues, and risk of results being sent to the wrong physician.

  • Early Warning Detection Requires ML Models

    Critical Results Were Delayed

    Critical findings (e.g., abnormal imaging, dangerous lab values) were not prioritized. Alerts were sent to generic inboxes, and physicians sometimes received critical results hours after completion.

  • line icon

    No Cross-System Visibility

    Staff had no centralized view of order status across LIS, RIS, and PACS. Tracking required logging into multiple systems, and bottlenecks were difficult to identify.

Solution Delivered

Unified Orchestration Layer

Built an orchestration layer that uses RPA bots to bridge LIS, RIS, PACS, and EHR systems. Bots automate data entry, system-to-system communication, and result routing without replacing existing infrastructure.

Real-Time Critical Alert Routing

Built a real-time alert routing engine that identifies critical results and pushes them to physicians via secure messaging, SMS, and EHR alerts within 5 minutes. Alerts include patient context, result summary, and recommended actions.

DICOM-Aware RPA Bots

Built DICOM-aware RPA bots that query PACS, retrieve imaging reports, and route them to the appropriate systems. Bots handle DICOM metadata extraction and report association.

Escalation Workflows

Built escalation workflows that route exceptions to human operators with full context. Escalations include order details, system error logs, and recommended next steps.

Cross-System Dashboard

Built a centralized dashboard showing order status across LIS, RIS, and PACS. Staff can track orders, identify bottlenecks, and monitor turnaround times.

How the Platform Works

When a referring physician places an order, RPA bots automatically register it in LIS and RIS. The orchestration layer routes the order to the appropriate collection or imaging center. Once results are available, bots retrieve them from LIS, RIS, or PACS and route them to the EHR. The critical alert engine identifies critical results and pushes them to physicians within 5 minutes via secure messaging, SMS, and EHR alerts. Exceptions are escalated to human operators with full context. All data is synced to the EHR in real-time.

How the Platform Works

Platform Capabilities

01

Unified Orchestration Layer

RPA bots bridging LIS, RIS, PACS, and EHR systems.

02

Real-Time Critical Alert Routing

Alerts pushed to physicians within 5 minutes.

03

DICOM-Aware RPA Bots

PACS querying, report retrieval, and DICOM metadata extraction.

04

Escalation Workflows

Human-in-the-loop exception handling with full context.

05

Cross-System Dashboard

Centralized visibility into order status and turnaround times.

Measurable Operational Impact

Report turnaround time reduced from 48 hours to 29 hours (40% reduction).

Critical results delivered to physicians within 5 minutes (from 6+ hours).

95%

of order registrations completed automatically without manual entry.

80%

reduction in result routing errors through automated workflows.

25+

collection centers, 4 imaging centers, and 2 central laboratories supported.

Technology Stack

  • RPA Platform: UiPath for bot development and orchestration
  • Orchestration Layer: Node.js with custom API integrations
  • DICOM Handling: Python with pydicom for DICOM metadata extraction
  • Critical Alert Engine: Node.js with real-time messaging (WebSocket, SMS gateway)
  • Frontend: React.js for cross-system dashboard
  • Backend: Node.js with RESTful APIs
  • LIS/RIS/PACS Integration: HL7, DICOM, REST APIs
  • EHR Integration: FHIR R4 APIs
  • Database: PostgreSQL for order tracking and audit logs
  • Infrastructure: AWS (EC2, RDS, S3)
  • Security: OAuth 2.0, TLS 1.3, AES-256 encryption
  • Compliance:HIPAA, GDPR
Technology
×

What This Project Proves

Laboratory and diagnostic workflow automation can transform diagnostic operations by eliminating manual data entry, accelerating result routing, and ensuring critical findings reach physicians immediately. By building a unified orchestration layer, DICOM-aware RPA bots, and real-time critical alert routing, we helped the diagnostic center chain reduce report turnaround time by 40% and deliver critical results within 5 minutes. The solution achieved full HIPAA compliance while creating a scalable foundation for diagnostic workflow automation.

Beware of Scams

Don't Get Lost in a Crowd by Clicking X

Your App is Just a Click Away!

Fret Not! We have Something to Offer.