Industry: Healthcare

At a glance: MyntiQ Tech built an AI document extraction system that reads patient insurance cards from phone photos. OCR and machine learning pull out the insurer, member ID, group number and copay, which are pushed into the EHR through an API and checked against clearinghouses, speeding up check-in and reducing claim errors.

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.

Frequently Asked Questions

Can AI read insurance cards from phone photos?
Yes. The OCR engine MyntiQ Tech built is trained on insurance cards and corrects for low light and angled phone photos.

Which fields are extracted from a medical insurance card?
Machine learning models extract the insurer name, member ID, group number and copay details as structured fields.

How does extracted data reach the EHR?
An API pushes the structured data straight into the patient’s EHR profile, and a clearinghouse integration verifies coverage instantly.

Automating patient intake? Talk to MyntiQ Tech or browse more case studies.