Case Study: City of Hope achieves faster patient care and accelerated clinical research with Foxit Software's Maestro OCR

City of Hope Improves Patient Experience and Speeds Clinical Research with OCR Software for EHR

City of Hope, a leading cancer research and treatment center with roughly 500,000 electronic health records, faced slow, labor-intensive searches through scanned EHRs—many of which were low-quality scans—hindering timely patient care and clinical research. Processing needs reached about 10,000 documents per day, and prior workflows could take up to a week to complete key indexing tasks.

City of Hope implemented Foxit’s Maestro OCR for its higher recognition accuracy and image pre-processing capabilities, using an unlimited-volume, single-core license to convert records into text-searchable files. The change cut processing from up to a week to daily runs (≈10,000 docs/day), enabling faster patient lookups, improved care turnaround, and instant keyword searches that accelerate clinical research.

City of Hope