About Organization
Doctory
Doctory is a digital healthcare platform that connects patients with certified doctors and healthcare professionals through an intuitive online interface. With a mission to make healthcare accessible and reliable, Doctory offers a seamless experience for teleconsultations, health record management, and medical support. The company continues to innovate by leveraging cutting-edge cloud technologies to ensure secure, scalable, and reliable healthcare solutions across the region.
Deliver the right solutions on the leading cloud platform
Cloud Consultancy
Unmatched due to SUDO’s wide knowledge and experience with the top three public cloud providers: AWS, Microsoft Azure and Google Cloud, we provide cloud solutions that work uniquely in line with your business model. With our experienced professionals based in Dubai, UAE you’ll be able to gain deep insights into critical trends and opportunities in cloud technologies, access real-time data analytics, and modernize your entire infrastructure.
The Challenge
Manual Coding Inefficiency
Manual medical coding slowed billing cycles, documentation workflows, and overall platform responsiveness.
Unstructured Document Complexity
Prescriptions, reports, and invoices arrived in unstructured formats that existing tools could not process reliably at scale.
Compliance and Accuracy Pressure
Errors in medical coding led to rejected claims and compliance gaps, leaving no room for manual error.
Scalability Constraints
Growing teleconsultation and health record volumes could not scale without significant increases in cost and headcount.
Why Choose SUDO
Doctory selected SUDO as their implementation partner because of their deep, hands-on expertise across AWS AI and ML services and their practical understanding of what it takes to build reliable systems for regulated industries like healthcare. As an AWS Premier Tier Services Partner, SUDO brings a structured, security-first approach to every engagement. Their experience deploying agentic AI workloads on Amazon Bedrock, combined with a serverless-first architecture philosophy, gave Doctory the confidence that the solution would not just work on day one but would scale and evolve with the platform’s continued growth across the region.
The Solution
SUDO designed and deployed an AI-powered Medical Coding Agent on AWS to automate the end-to-end process of ingesting, interpreting, and coding unstructured medical documents through a fully serverless architecture.
Amazon Bedrock AgentCore Served as the intelligent orchestration layer, enabling autonomous reasoning and accurate coding decisions across document types.
Amazon Comprehend Medical extracted clinical entities, including diagnoses, medications, and procedures from free-text medical content, turning unstructured data into structured, actionable output.
Amazon Textract handled the ingestion and digitization of scanned documents, handwritten prescriptions, and image-based medical files for downstream processing.
Results & Benefits
The AI-powered Medical Coding Agent delivered measurable improvements across speed, accuracy, and operational efficiency for Doctory’s healthcare workflows.
Significant Reduction in Manual Effort: Automating the coding pipeline freed clinical and administrative staff from repetitive processing work, letting them focus on patient care.
Improved Coding Accuracy and Compliance: Amazon Comprehend Medical brought greater precision to the coding process, reducing errors and strengthening compliance across Doctory’s workflows.
Real-Time Document Processing: The serverless architecture replaced batch delays with near-instant processing, enabling teams to act on coded data immediately.
Scalable and Cost-Efficient Infrastructure: With pay-per-use billing and no servers to manage, the solution scales automatically with document volume while keeping costs predictable.
Enhanced Experience for Healthcare Professionals: Faster and more accurate coding reduced friction for doctors, clinicians, and administrators, building greater confidence in daily workflows.
