Industry: Healthcare

Overview

This case study outlines the development of an intelligent, AI-powered document extraction system designed to read and process patient medical insurance cards automatically. Integrated with a healthcare network’s scheduling portal, the solution automates patient check-in and data entry into Electronic Health Record (EHR) databases.

Business Problem

The healthcare provider faced operational slowdowns:

• Clinic staff had to manually type patient and insurance details from physical card photos, leading to frequent typos.
• Insurance verification was slow, resulting in billing errors and delayed approvals.
• Entering data manually during peak check-in hours created long wait times in clinic lobbies.

How MyntiQ Tech Helped

MyntiQ Tech built a secure, AI-powered extraction pipeline:

• Intelligent Document Processing: Built an OCR (Optical Character Recognition) engine trained to read insurance cards, correcting for low lighting or angled phone photos.
• Structured Field Extraction: Developed machine learning models to extract fields like insurer name, member ID, group number, and copay details.
• EHR Integration: Built an API that pushes structured data directly into patient profiles in the EHR system.
• Insurance Check API: Integrated with clearinghouses to verify coverage status instantly.

Business Outcomes Delivered

• Reduced patient details entry times, allowing faster clinic check-ins.
• Eliminated spelling and ID transcription errors, reducing billing claims rejections.
• Improved patient intake, freeing clinic staff to focus on patient care.