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AI-Powered Diabetes Risk Scoring—Instant, Paperless, Predictive

Overview

Our client is a leading multi-specialty hospital group with a prime focus on preventive healthcare and community outreach programs. The pain point of the client was the early identification of diabetes that required manual dependency on lab-based screening methods. Thus, to overcome this challenge, iQud suggested a quick, reliable, and real-time AI-powered solution helping with predictive diabetes risk scoring without any human dependency.

Technical Stack

Industry

Healthcare

Region

Thailand

Project Size

Non-Disclosable

Highlights

📈

86% accuracy compared to lab-tested HbA1c results

🩺

Processed 1,000+ patients/day in screening camps

✅

Enabled early intervention in 3 out of 10 high-risk users

📉️

Reduced diagnostic backlog by 45% during OPD surges

Challenges

Solutions

Challenges & Solutions

Low Adoption and Trust in the AI Model

Built AI predictive accuracy through clinical training and pilot studies.

Data Privacy and Compliance Concern

For patient data privacy, implemented encryption, anonymization, and compliance checks.

Integration issue with the current EMR System

For seamless EMR workflow integration, developed plug-and-play APIs

Reduction in Demographic Variability due to Model Accuracy

For accuracy with local population data, calibrate AI models to increase chances for variability.

Limited Connectivity or Community Screening

For rural camps and community screening, offline AI scoring was enabled with cutting-edge deployment.

Empowering Early Diabetes Detection – Smarter, Faster, Anywhere

Key Features

Conclusion:

By enabling instant, paperless, and predictive diabetes risk scoring with an AI-powered solution, the hospitals and health centers were able to identify high-risk patients efficiently. The proposed solution not only bridged the early diagnosis gaps but also helped drive preventive care with much more confidence and with ease.

Success Stories from Our Valued Clients

The iQud team is extremely hardworking and understood all of our needs, they got the job done immediately. Overall very happy working with them.

Alex Rollin

Satisfied Customer | Hybrid Mobile Application

iQud took time to really understand our project before diving in. Their work was done in a timely manner and exceeded our expectations.

Alex Racciopi

Satisfied Customer | Cloud Service Integration

Our logistics company was struggling with manual data entry and repetitive tasks that consumed valuable time and resources.

Emily Johnson

Operations Manager | SwiftLogistics

Partnering with iQud was a game-changer for our location-based app. They delivered precise geolocation, real-time updates, and an intuitive interface.