Sold by: Brillio
deCypher is an advanced AI-driven solution purpose-built for healthcare that enables users to interact with complex data systems using simple, natural language queries. Powered by AWS Bedrock models, it understands the meaning and intent behind user questions and retrieves accurate responses from fragmented or varied healthcare data sources.
The platform connects to multiple structured and unstructured datasets—such as claims, EHRs, care plans, and operational logs—and harmonizes outputs across different formats, schemas, and systems. Users can access insights without needing to understand SQL, coding, or the backend data architecture.
This helps care teams, analysts, and operations leaders quickly find the information they need, identify trends, and surface critical relationships across data—leading to better outcomes in areas like care delivery, benefit operations, compliance tracking, and patient/member engagement.
Overview
The healthcare industry increasingly depends on data to drive clinical decisions, improve patient outcomes, streamline operations, and meet regulatory requirements. Effectively leveraging this data has become a strategic priority across health systems, payers, and care teams. However, this goal is often undermined by the limitations of current data systems in handling the scale, diversity, and fragmentation of healthcare data. Information is frequently siloed across EHRs, claims, labs, and imaging systems, making it difficult for users to access unified patient insights. This places an undue burden on clinical, operational, and administrative users to write complex queries that require deep technical knowledge of data structures and sources. As a result, valuable time is spent navigating data complexity rather than acting on insights. Existing tools offer limited support for these challenges, leading to inefficient data use, low returns on data investments, and high administrative overhead for users who are not data specialists.
Semantic Querying:
The deCypher solution leverages GPT-based models to accurately interpret the semantic intent behind natural language queries. It is contextually tuned to understand the nuances of clinical terminology, healthcare workflows, and patient-centric scenarios—enabling users to extract meaningful insights from complex healthcare data without needing deep technical expertise.
Query Optimization:
deCypher continuously refines queries in collaboration with users, using algorithms to optimize and deliver precise, relevant results. It also provides smart recommendations based on past interactions, helping users access healthcare data more efficiently.
Data Integration:
deCypher provides the capability to seamlessly integrate diverse healthcare data types, including claims, patient records, and benefit information. deCypher accomplishes this by:
• Breaking down the query into data elements required and making an informed estimate of the datasets where those elements would reside.
• These data elements reside in disparate data structures. deCypher supports multiple data structures commonly found in healthcare systems.
• These data elements differ in data types, which may include text, images, and structured data. deCypher synthesizes these data elements into composite insights for improved decision-making.
Adaptive Learning:
deCypher is by nature a learning and AI driven solution. Being driven by a AWS Bedrock models, it improves to adapt to evolving language use and user preferences over time. The learning is not limited to semantics but is incorporated in every layer of the solution, from query generation to data synthesis to better serve and adapt to the needs of the end user.
To summarize, deCypher provides an intuitive interface for interacting efficiently with complex datasets using natural language and extracting actionable insights. The solution employs the following Microsoft services- AWS Bedrock, AWS Cogito, DynamoDB, API Gateway, Cloudfront, AWS Lambda, S3 etc.
Highlights
- A single-point language model driven solution that enables accurate semantic understanding, seamless data integration across sources and an adaptive interface for users to interact intuitively all at the same time.
- Facilitates the discovery of hidden patterns in patient data, enabling more informed decision-making in areas like clinical care, patient outcomes, and personalized treatment plans.
- With continuous learning and customization capabilities, information retrieval and decision-assistance keep getting better with every iteration.
Details
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This solution is perfect for healthcare organizations looking to search, analyze, and extract insights from complex datasets across various sources.
Reach out to us at aws-marketplace@brillio.com OR Contact Us today to unlock the power of your data and drive informed healthcare decisions!