We help leading corporations reduce paper handling cost and increase efficiency in handling their inbound documents stream.
Medical document processing involves the extraction of useful information from medical documents such as patient records, medical histories, lab reports and prescriptions. The process can be done manually but it can be time-consuming and prone to errors. As such, many healthcare providers are turning to automated systems to improve efficiency & accuracy.
We use several techniques in medical document processing including optical character recognition (OCR), natural language processing (NLP), and machine learning. OCR involves the conversion of scanned documents into machine-readable text, which can then be analyzed by NLP algorithms to extract useful information. NLP techniques involve the analysis of natural language text to identify relevant information, such as patient demographics, diagnoses and treatments. Machine learning algorithms can be trained to automatically classify and extract information from medical documents, improving accuracy and efficiency.
Save up to 30% to 80%
on your
incoming
post handling costs
Streamlining and automating the creation, approval, processing, and payment of invoices
Save on storage space
& expensive
human interactions
Streamline and improve
the efficiency of
insurance claims
Extract
useful information
from
medical documents
Streamline and automate
the tasks associated with
fines management
Get your processing costs
reduced by
up to 60%
Find and retrieve
HR information
quickly
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