A healthcare technology company specializing in medical imaging devices for Ophthalmology & Dental care developed a solution tailored for mid-sized eye hospital chains in urban & semi-urban areas across India and Southeast Asia. Their strong focus on diagnosing diabetic retinopathy & age-related macular degeneration (AMD), and aimed to address the growing challenge of high patient volumes and limited specialist availability. These constraints were causing delays and inconsistencies in diagnosis.
Before adopting AI, the customer faced delays in diagnosis due to a shortage of specialists at primary healthcare centers. Retinal scans were manually reviewed, leading to slow processing and inconsistencies in reports. Data was fragmented across different systems, making it hard to track patient history. Without
workflow automation, tasks like scan classification, patient prioritization, and report generation were done manually, further slowing down the process and affecting diagnostic accuracy.
CloudifyOps implemented an Agentic AI solution to streamline diagnostics. They used Amazon Bedrock and SageMaker to build and deploy AI agents that classify scans and assess risk. Using LangChain, these agents worked together to manage complex decisions. For doctor-patient conversations, they applied Amazon Transcribe Medical and fine-tuned Meta’s LLaMA 2 model to extract key diagnostic insights. AWS Comprehend Medical added further medical context.
Finally, they used AI templates to automatically generate structured, HIPAA-compliant reports, all hosted securely on Amazon ECS and EFS.
CloudifyOps helped cut diagnostic time by 60% and improved consistency in scan results by 80%. AI-generated reports made information clearer for patients, building trust. Doctors were also able to review 2.5 times more cases daily without affecting quality
After implementing AI, the hospital automated key workflows like scan classification and high-risk case flagging. Doctor-patient conversations are now processed using advanced language models to generate clear diagnostic summaries and treatment suggestions. Reports are automatically created with
consistent, detailed insights and follow-up recommendations. AI also supports doctors in real time by offering suggestions during consultations, helping improve decision-making and care quality.
Amazon SageMaker, LangChain, Amazon Bedrock, LLaMa 2 (HuggingFace), Amazon Transcribe Medical, AWS Comprehend Medical, Amazon ECS and EFS
CloudifyOps Pvt Ltd, Ground Floor, Block C, DSR Techno Cube, Survey No.68, Varthur Rd, Thubarahalli, Bengaluru, Karnataka 560066
CloudifyOps Pvt Ltd, Cove Offices OMR, 10th Floor, Prince Infocity 1, Old Mahabalipuram Road, 50,1st Street, Kandhanchavadi, Perungudi, Chennai, Tamil Nadu - 600096
CloudifyOps Inc.,
200, Continental Dr Suite 401,
Newark, Delaware 19713,
United States of America
Copyright 2024 CloudifyOps. All Rights Reserved
