Enhancing care with secure
and automated AI solutions.
Healthcare professionals handling patient assessments spend a significant amount of time manually reviewing and summarizing lengthy medical documents to generate MSA reports. This manual process not only consumes valuable clinician time but also increases the risk of human error and inconsistency across reports.
Streamline the process of reviewing and summarizing patient-related documents.
Reduce the time spent on repetitive and non-critical manual tasks.
Ensure accuracy and consistency in clinical report generation.
Maintain data integrity while working with sensitive patient information.
Spiralogics implemented an AI-driven automation system that could analyze, summarize, and structure patient information efficiently. The system reads multiple medical documents, extracts key data, and automatically generates a detailed MSA report.
The AI model has been fine-tuned to align with clinician expectations, ensuring the generated reports meet the quality and accuracy standards required in healthcare.
AI driven application automatically generates the majority of content for MSA Report requiring study of thousands of pages of patients' medical, medication, legal and billing history. Users can simply review and validate this content and use it to support necessary compensation related settlements.
Reduced manual report creation time from hours to minutes.
Enhanced report accuracy and consistency.
Freed up clinicians’ time to focus on direct patient care.
Improved overall operational efficiency.
Streamlining case workflows through intelligent automation.
Healthcare organizations generate vast amounts of unstructured data daily - patient histories, care coordination notes, claims, and clinical reports. Traditionally, these data points are manually reviewed and used to generate valuable insights for clients, patients, and relevant parties consuming significant time and increasing the risk of human error.
Data Privacy and Security: Sensitive patient data required protection under HIPAA and SOC regulations.
Integration with Existing IT Systems: Introducing AI without disrupting established workflows was essential.
Erroneous Diagnoses: Manual interpretation of data increased the risk of inaccuracies in patient records and clinical documentation.
Spiralogics deployed SAM (Spiralogics AI Model) - a secure, HIPAA- and SOC-compliant AI platform purpose-built for the U.S. healthcare ecosystem.
SAM operates entirely within the client’s environment, ensuring no external data exposure. Designed for scalability and interoperability, it integrates seamlessly with existing healthcare systems, empowering teams to automate and accelerate critical processes.
A solution to extract patient information from medical documents such as Lab results, Diagnostic tests etc.
Summarizes and structures patient data to create
ready-to-review clinical notes
and care summaries.
Enables quick access to patient data, summaries, and
recommendations through
an AI-powered
conversational interface.
Provides intelligent insights and care recommendations based on patient trends and outcomes.
SAM not only reduces administrative overhead but also supports data-driven care coordination, ensuring clinicians and case managers make faster, more informed decisions.
Runs within the client’s infrastructure, ensuring full data ownership and compliance.
Significant reduction in manual data handling and documentation time.
AI-driven documentation minimizes errors and inconsistencies in clinical reporting.
Designed to support expansion across diverse healthcare functions and large data volumes.
Clinicians and coordinators gain faster insights, enabling better patient outcomes.
- Python (v 3.13)
- RABBIT MQ (Message Broker)
- MinnerU, Mammoth (OCR)
- LLAMA Index, rake-ntlk (Indexer, Chunker, Retriver)
- LLAMA 3.1 70B 4 bit quantized (AI model)
- VLLM (LLM model handler)
- Fast mcp (mcp client connector/Invoker) br>
- FastAPI (API Framework)
- SQL Server
