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Scaling Success: How We Increased Capacity Without Compromising Quality

Jan 18, 2024

2 min read

CASE STUDY

Dennis Polygenis | PhysioHealth Inc.


IME Market

Smiling man with short hair and goatee in a dark blazer and checkered shirt. Neutral indoor background, warm and friendly mood.

The Independent Medical Evaluator (IME) market is a specialized sector of the healthcare and legal industries focusing on providing objective medical assessments and expert opinions.


SiftMed enabled Dennis to handle 30% more cases.


Meet Dennis

Text in blue font cites efficiency and flexibility thanks to SiftMed, set against a white background. Green quotation marks add emphasis.

Based out of Toronto, Ontario, Dennis Polygenis is the President of PhysioHealth and has been providing IME’s for over 25 years. A core function or performing independent medical assessments is reviewing medical briefs which involves searching through large PDF documents and pulling pertinent information into a report. Dennis will often turn a 5,000 page stack into a 15-20 page file review.


With an increasing frequency, volume and rate of complexity of cases, the biggest challenge Dennis faced was being able to extract all of the information needed to build an expert opinion report.


Dennis found that other technology had challenges with Optical Character Recognition (OCR) capabilities, requiring Dennis to manually decipher any handwritten notes. Another big pet peeve was the gruelling task of manually searching a PDF full of handwritten text and duplicate documents.


Working with SiftMed

Dennis was an early adopter of SiftMed’s platform. Initially only using SiftMed’s OCR tool, Dennis began to explore SiftMed’s note functions and quickly realized he could do more than simply create notes - he could also sort them in chronological order and export them into a report.


Increasing Efficiency & Reducing Review Time

With a highly organized file and the ability to quickly search and filter pages, Dennis was able to review a brief faster, turnaround more reports, and have more time in his personal life.


Dennis was delighted when he realized he could highlight a handwritten note and transcribe the text using SiftMed. He noticed that the system is fast, even when working on these handwritten documents.


Text in blue italics on a light background reads: "The greatest strength of SiftMed is its OCR capabilities..." There are green quotation marks.

SiftMed’s machine learning (ML) models are a sophisticated and dynamic element of its platform that enables the software to acquire knowledge and adapt. Dennis sees a difference in the platform’s accuracy from when he started using SiftMed to today.


“It was pretty good at first but I feel like the system has learned and significantly improved its accuracy."


Dennis saves 30% of review time by using SiftMed to efficiently review files.


“In large documents that are 6-7 thousand pages, I can see the system picking up information that I need and I’m not missing anything. It’s really the only thing out there. There was really nothing available before SiftMed that I knew of that could do this.” Said Dennis.


The flexibility that SiftMed provides, allows Dennis to provide a concise review of documents more efficiently that allows him to work more efficiently and increase his caseload

Jan 18, 2024

2 min read

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