How Surgeon Dr. Carol Dingee Streamlines Radiology Report Review at PHC with Empathia AI
Providence Health Care
Vancouver, BC, Canada
Doctor
Dr. Carol Dingee
Specialty
General Surgery
Using Empathia to summarize lengthy radiology reports currently take significant time to review manually.
The challenge
Before Empathia
- Time-Sinking Radiology Review: Reviewing lengthy radiology reports manually took significant time, slowing down her pre-consultation workflow.
- Complex, Disconnected EMR Workflow: Documentation involved multiple systems (Cerner, Plexia, Mmodel), requiring workarounds like dictation flowing through Acceleris to Plexia, and the lack of direct Empathia integration forced her to use manual copying and pasting between platforms.
- Repetitive Note Structuring: She was concerned about the repetitive task of inputting basic patient information (like name and previous notes) into documentation systems like MModel.
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Dr. Carol Dingee is a General Surgeon specializing in outpatient breast consultations at Providence Health Care (PHC). Her practice involves navigating a complex ecosystem of EMRs (Cerner, Plexia, Mmodel) and requires meticulous review of extensive prior patient data. Her most significant pain point is the manual, time-consuming review of lengthy radiology reports, which are essential for her specialty. She seeks an AI solution to drastically reduce the time spent synthesizing this information and to integrate seamlessly into her multi-platform workflow.
The Transformation
After Empathia
Key Improvements
Pre-Consultation Data Synthesis
The key gain is the ability to upload multiple radiology reports (via capture screen, download/upload, or copy-paste) and have the AI generate a combined, summarized Intake Summary in 1-2 minutes.
Mobile and Real-Time Sync
She learned the workflow for generating a draft summary on her computer and then accessing and recording the consultation on her phone using the Empathia app, which syncs data in real-time across devices.
EMR Workarounds
Given the complex EMR landscape, the workflow involves using Empathia's copy button, Chrome extension, and smart toolkit with auto-fill capabilities to transfer content reliably between Empathia and Plexia (and manual copy-paste for Cerner integration).
Automated Note Structuring
Empathia solves the concern about repetitive input by automatically populating patient names and previous notes.2 Notes are structured using a three-part template system:
[Content to include] (Desired format) {Optional examples}, ensuring the final consultation note's formatting matches her needs.
Template Refinement
Dr. Dingee will try a mock visit with radiology imaging to test the note format and will use brackets for content and parentheses for formatting to gradually build her custom General Surgery/Breast Consultation templates.
Empathia AI fundamentally transforms Dr. Dingee’s administrative workflow by taking on the heavy lift of radiology report review and data synthesis. This 1-2 minute turnaround for summaries allows her to start patient encounters fully informed, reducing stress and improving focus. The system's ability to automatically populate patient information and use bracketed templates to generate structured notes streamlines her documentation across her complex Cerner/Plexia environment. Ultimately, Empathia shifts her time from manual data extraction to focused clinical review.
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Key Features Used
AI Pre-Visit Intake
AI-led patient intake that collects information before the visit—via voice or text—and organizes it into a clean, structured summary.
Templates
Customizable templates for common visit types
