Medical document automation

Guardoc Health helps skilled nursing facilities and assisted living centers extract, classify, and act on complex clinical documents faster and more accurately than manual review.The pipeline uses Amazon Bedrock with Amazon Nova models, Amazon Textract, Amazon Titan Text Embeddings V2, and Amazon DynamoDB to process handwritten, checkbox-heavy, and mixed-format medical documents.The solution combines RAG, patient-scoped retrieval, cost-tiering between Nova 2 Lite and Nova Pro, and hybrid OCR plus multimodal reasoning for compliance-sensitive long-term care workflows.

Guardoc HealthHealthcare

Claims Acceleration Suite expedites prior authorization submission and review by transforming unstructured documents into structured datasets.It uses Document AI and Healthcare NLP API to extract essential clinical and demographic data, then stores structured data in BigQuery, Firestore, and Cloud Healthcare API (FHIR) for near-real-time payer/provider exchange.The solution supports providers in preparing prior authorization requests, activating review workflows, and expediting manual review through Pega Care Management on Google Cloud Marketplace.

MyndshftHealthcare

Brillio built an AWS-based claims workflow for a large national insurer to automate claim intake, document extraction, image-based damage assessment, policy validation, and guided settlement recommendations.The solution normalizes unstructured submissions into structured records, scores confidence, routes exceptions to adjusters, and stores artifacts for auditability.

A large national insurerInsurance

Reveleer, a healthcare data and analytics company, uses AWS services to analyze medical records at scale for value-based care workflows.The platform scans patient records, extracts clinical facts from unstructured medical text and scanned documents, and highlights findings for medical coders.The article states the system processed over 45 million pages of medical chart data in Q1 2024 and serves 90% of responses in under 8 seconds with 100% uptime.

ReveleerHealthcare

Exact Sciences, through its PreventionGenetics subsidiary, uses AWS to accelerate variant curation and phenotype abstraction for genetic testing.The company manually reviewed scientific literature and patient clinical notes to interpret genetic variants that may cause rare disease or indicate elevated risk, and needed to speed turnaround for clinicians and patients.Working with the AWS Generative AI Innovation Center, Exact Sciences built the Variant Curation Accelerator and a phenotype abstraction tool on Amazon Bedrock, with human review, citations, source PDFs, and highlighted supporting text to improve trust and accuracy.

Exact SciencesHealthcare

Huron, a healthcare consulting firm, uses generative AI to accelerate the analysis of clinical trial coverage documents.The company needed to extract critical billing and coverage information from complex unstructured documents, including graphs, charts, text, and images, which previously required manual search across multiple documents.Huron built a generative AI solution on AWS with Amazon Bedrock, Amazon Bedrock Knowledge Bases, and Amazon OpenSearch Serverless to support faster, more accurate clinical trial administration.

HuronHealthcare

One Medical is a US-based membership primary care company focused on delivering high-quality, human-centered healthcare through a purpose-built technology platform.The challenge was to reduce administrative burden on healthcare providers to improve patient care experience and provider satisfaction amidst physician burnout due to systemic inefficiencies and administrative overload.One Medical developed its proprietary Electronic Health Record (EHR) system called 1Life, hosted on AWS and built with Amazon Bedrock and Amazon SageMaker machine learning services to automate workflows including document processing and patient record summarization.The solution offers a seamless clinical experience allowing providers to see all patient details and actions from one screen and supports secure in-person and virtual care interactions.Impact includes clinicians spending more time with patients, improved operational efficiency, scalable infrastructure supporting expansion, and ongoing exploration of generative AI for telehealth communication enhancements.

One MedicalHealthcare

Amazon Textract is used by organizations including Change Healthcare, Symbeo (a CorVel company), Elevance Health, Healthfirst, nib Group, Wrapped Insurance, and others primarily in the healthcare and insurance industries.These organizations faced the challenge of tedious, time-consuming, and error-prone manual data entry and processing of forms, claims, and documents.Amazon Textract's AI-powered OCR and ML capabilities automate extraction of printed text, handwriting, and structured data from scanned documents, significantly reducing document processing time from hours to minutes.The technology is integrated with AWS infrastructure and services as part of scalable solutions that improve operational efficiency, reduce manual labor by up to 97%, and enhance customer experience.Common document types processed include insurance claims, medical charts, invoices, bank statements, and more, with automation rates frequently exceeding 60%.AWS services used include Amazon Textract and Amazon Comprehend Medical for data extraction and analysis.

Change HealthcareHealthcare

Capital District Physicians' Health Plan Inc. (CDPHP) struggled with manual processing of unstructured medical records for deriving insights to improve care.CDPHP deployed an automated, modular, serverless AI/ML pipeline on AWS using Amazon Textract to extract data, Amazon Comprehend Medical to extract and normalize medical info, and Amazon SageMaker for ML model development.The solution improved processing speed and accuracy, automating 3,000 records weekly with plans to double volume, cutting HEDIS report generation from 4-5 days to twice daily, and increasing efficiency by 60%.

Capital District Physicians' Health Plan Inc.Healthcare

Natera, a global cell-free DNA testing company focused on oncology, women’s health, and organ health, modernized its data and analytics platform on AWS to support high-volume diagnostic operations and secure handling of patient data.The implementation aimed to reduce data silos, improve access to clinical and genomic data, and accelerate extraction of information from unstructured documents to support precision medicine and earlier detection of cancer recurrence.

NateraHealthcare