Overview
A leading Australian teaching hospital was processing 1.8 million patient documents a year across fragmented systems, with manual classification, inconsistent governance, and no unified pipeline connecting intake to care delivery. Document volumes were growing at 10% year over year, and the existing EMR infrastructure was finding it difficult to absorb it. The institution made a conscious decision and chose NewgenONE as its transformation platform.
Highlights
| 1.8M Pages Processed Annually | 10% YoY Growth in document volume | 2x Improvement in efficiency |
| 99% Accuracy in data extraction | ~ 2 sec/page Processing Time with multi-user support | Real-time Integration with EHRs & HR systems |
Download the complete success story to gain detailed insights into:
- The 4 operational failures, high document volume, inconsistent classification, broken downstream flows, and fragmented data security, that made this a clinical governance problem, not just a technology one
- How the hospital replaced manual transcription and handoffs with an end-to-end pipeline that accepts any document format, including scanned forms, faxes, and low-DPI images, at 99% extraction accuracy
- The AI and ML approach that standardized document classification across every department, clinician, and document type, eliminating duplication before it entered the repository
- How real-time integration with EHRs and HR systems meant verified records were available at the point of care, not after someone finished processing them
- The measurable before-and-after across processing speed, extraction accuracy, classification consistency, and workflow friction
