Case Study

Ideas2IT | AWS Case Studies

How Ideas2IT Helped Medtronic LABS Standardize Chronic Disease Care with AI-Powered Clinical Guidance

About the Client:

Medtronic LABS, an independent non-profit supported by global medical technology leader Medtronic, is redefining healthcare for underserved communities worldwide. Committed to tech-driven innovation, they partnered with us to transform chronic disease management in Bangladesh, leveraging our expertise to deliver cutting-edge solutions that improve access, accuracy, and care outcomes.

Industry

HealthTech

Location

Global Presence, including Bangladesh

Challenge

Healthcare professionals struggled with slow, manual access to critical diabetes and hypertension guidelines, impacting patient care and decision-making.

Featured Services

(Amazon) Bedrock, HealthScribe, OpenSearch, Textract, Lambda

Challenge

Healthcare providers and frontline workers spent valuable time navigating static, outdated PDFs, delaying critical decisions in diabetes and hypertension management. Manual searches introduced inconsistencies, compromising treatment accuracy and patient trust. The organization needed an AI-powered system that provided instant, context-aware clinical guidance to enable faster, more reliable care delivery.

Amazon Web Services leveraged:

  • Amazon Bedrock (Claude 3.5 Sonnet): AI-driven contextual search for real-time, evidence-based recommendations.
  • Amazon HealthScribe: Seamless speech-to-text conversion, enabling voice-based medical queries.
  • AWS OpenSearch: High-speed vector search, ensuring precise retrieval of clinical insights.
  • AWS Textract: Automated extraction of medical guidelines from PDFs, making compliance effortless.
  • AWS Lambda: Serverless execution, powering instant query responses without infrastructure overhead.

Solution Architecture

We built an AI-driven Clinical Decision Support System that empowers doctors with instant, accurate medical guidance at the point of care.

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Users can input queries via text or voice, triggering AWS Textract to extract relevant insights from official clinical guideline PDFs. The content is indexed in AWS OpenSearch, enabling lightning-fast retrieval, while Amazon Bedrock’s LLM refines the response to ensure clarity, context, and precision. AWS Lambda orchestrates the entire workflow, making the system fully scalable, cost-effective, and adaptable to future medical knowledge updates.

High-level architecture diagram:

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Business Impact:

  • 80% Faster Decision-Making – Real-time access to clinical guidelines eliminates search delays.
  • Standardized, Evidence-Based Care – Ensures consistent adherence to gold-standard medical protocols across all professionals.
  • Voice-Enabled Assistance – Hands-free, AI-powered support empowers doctors to access information on the go.
  • Enhanced Operational Efficiency – Reduces search time, allowing providers to focus more on patient care.
  • Scalable & Future-Ready – Cloud-native AI architecture adapts to evolving guidelines and scales effortlessly across geographies.

Results:

  • 70% Faster Guideline Retrieval – Instant access to clinical insights accelerates decision-making and minimizes treatment delays.
  • 45% Improvement in Care Consistency – AI-powered recommendations standardize treatments, reducing variability.
  • 90% User Satisfaction – Clinicians trust the system for delivering accurate, real-time medical guidance.
  • Enhanced Compliance – Aligns care delivery with government-issued protocols, improving regulatory adherence.
  • Scalable for Future Expansion – Built to support additional diseases, languages, and evolving clinical guidelines.

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