Artificial Intelligence
Healthcare Provider: AI for Diagnostics
Reimagine Legacy. Redefine Future.
The Client
A regional healthcare network operating across the Middle East with 40+ hospitals, 250+ diagnostic centers, and millions of annual patient visits.
Radiology departments were experiencing a high volume of diagnostic imaging requests (X-rays, MRIs, CT scans), causing delays in reporting. Patients often waited up to two weeks for results, leading to dissatisfaction and delayed treatments. The client also faced staffing shortages in specialist radiologists.
Reimagine Legacy. Redefine Future.
The Challenges
Key Highlights
- Deployed Azure OpenAI Service with GPT-based models for real-time sentiment analysis of customer feedback across email, chat, and social platforms.
- Implemented a personalization engine that leveraged AI-driven recommendations for promotions and loyalty rewards.
- Integrated an intelligent Power Virtual Agents chatbot into the company’s mobile app and website for 24/7 multilingual customer support.
- Rolled out predictive analytics dashboards in Power BI to forecast churn and measure campaign ROI.
Key Highlights
- Built and deployed AI-powered computer vision models using Azure Cognitive Services and custom ML pipelines to identify anomalies such as tumors, fractures, and infections.
- Integrated AI with the existing Electronic Health Record (EHR) system to automatically triage cases requiring urgent attention.
- Conducted a multi-stage accuracy validation program with human radiologists, ensuring the model matched expert diagnosis in over 92% of cases.
- Established a governance framework for Responsible AI in healthcare, ensuring ethical usage and compliance with HIPAA and regional regulations.
Impact
Business Morals
Business Morals
Delivered
- Diagnostic turnaround time improved by 65%, allowing same-day reporting for most cases.
- Improved patient satisfaction scores and faster treatment initiation.
- Reduced dependency on overworked radiology staff, addressing skill shortages.
- Positioned the client as a pioneer in AI-led healthcare diagnostics in the region.
Business Morals Delivered
- Customer retention rates improved by 18% within the first year.
- Call center workloads decreased by 35%, allowing agents to focus on complex cases.
- Campaign conversions rose by 22% due to targeted offers powered by AI.
- The client positioned itself as an AI-first retailer, enhancing brand perception in competitive markets.