AWS HealthLake is a HIPAA-eligible service that provides FHIR APIs that help healthcare and life sciences companies securely store, transform, transact, and analyze health data in minutes to give a chronological view at the patient and population-level.
AWS HealthScribe is a HIPAA-eligible service empowering healthcare software vendors to build clinical applications that use speech recognition and generative AI to automatically generate preliminary clinical documentation.
AWS Health Imaging is designed for builders who develop cloud-native medical imaging applications. Health Imaging ingests data in the DICOM P10 format and provides APIs for low-latency retrieval and purpose-built storage.
AWS Health Omics is a purpose-built service that helps healthcare and life science organizations and their software partners store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health. It supports large-scale analysis and collaborative research.
AWS HealthLake is a HIPAA-eligible service offering healthcare companies a complete view of individual and patient population health data using FHIR (Fast Healthcare Interoperable Resources) API based transactions to securely store and transform their data into a queryable format at petabyte scale, and further analyze this data using machine learning (ML) models. Using the HealthLake FHIR-based APIs, healthcare organizations can easily import large volumes of health data, including medical reports or patient notes, from on-premises systems to a secure, compliant, and pay-as-you-go service in the cloud. HealthLake offers built-in natural language processing (NLP) models to help customers understand and extract meaningful medical information from a single copy of raw health data, such as medications, procedures, and diagnoses.
Store clinical and claims data using interoperability standards
Store patient medical history from multiple data sources in the normalized common data model (FHIR-based) format and leverage FHIR APIs to build transactional applications and patient 360 views
Build highly scalable interoperability solutions to meet regulatory needs
Leverage HealthLake Patient Access APIs and Bulk FHIR APIs with built-in support for US CORE and CARIN BB profile validation to meet the 21st Century Cures Act for patient access and interoperability requirements
Automatic transformation of FHIR data to analytics format
Empower healthcare analysts to query HealthLake FHIR data using SQL through AWS Athena query engine and create metric tracking care gap dashboards
Apply analytics and ML on health data
Make predictions and identify trends with health data using Amazon SageMaker machine learning models and Amazon QuickSight analytics
Accelerate healthcare interoperability
Support customer conformance with 21st Century Cures Act for patient access and interoperability requirements through a fully managed FHIR server.
Optimize clinical applications
Leverage FHIR APIs to build efficient transactional applications like Patient 360.
Improve care quality
Identify opportunities to close gaps in care delivery targeted interventions with a longitudinal view of the patient journey.
Manage population health
Analyze population health trends, predict outcomes, and manage costs with advanced analytics tools using AWS ML models.
Transform the patient-clinician experience with conversational and generative AI
Using a single API, AWS HealthScribe automatically identifies speaker roles, classifies dialogues, extracts medical terms, and generates rich preliminary clinical transcripts and notes. AWS HealthScribe removes the need to integrate and optimize separate AI services, allowing you to expedite implementation. Powered by Amazon Bedrock, AWS HealthScribe makes it faster and easier to integrate generative AI capabilities, without needing to manage the underlying machine learning (ML) infrastructure or train healthcare-specific large language models (LLMs).
Enhance clinician productivity with AI-generated insights
Transcribe patient visits, generate preliminary clinical notes, and extract insights that help clinicians to quickly revisit highlights of their patient visits and easily accept, reject, or edit content suggestions.
Use AI responsibly in clinical settings
Every AI-generated summary statement comes with traceable transcript references that make it easier for clinicians or scribes to quickly verify accuracy and locate the source of the insight.
Reduce development time with fully managed ambient AI
Simplify implementation with an integrated conversation and generative AI service that is specifically trained for the healthcare industry.
Safeguard patient privacy using a HIPAA-eligible service
Built with security and privacy in mind, you control where your data is stored, with data encrypted in transit and at rest. AWS does not use inputs or outputs generated through the service to train its models.
AWS HealthScribe uses generative AI to transcribe and summarize patient-physician conversations—freeing up more time for patient care instead of documentation.
Use summarized clinical notes
AWS HealthScribe analyzes consultation conversations to generate summarized clinical notes for sections like chief complaint, history of present illness, assessment, and treatment plan. You can provide these summaries in your clinical application to help clinicians and medical scribes quickly recap highlights of patient visits and review, edit, and finalize notes for clinical documentation. GIRPP (Goal, Intervention, Response, Progress, Plan) template for behavioral health is also available in AWS HealthScribe.
Extract structured medical terms
AWS HealthScribe extracts structured medical terms, such as medical conditions, medications, and treatment from the conversation transcript. You can use these medical terms in your clinical application to generate useful workflow suggestions for the user. Medical terms can be used to auto-suggest relevant reading material or entries for a drop-down form in your application.
Generate rich consultation transcripts
AWS HealthScribe provides a rich turn-by-turn transcript with word-level timestamps. AWS HealthScribe also identifies speaker roles, like patient and clinician, for each dialogue in the transcript.
Segment transcripts
AWS HealthScribe segments transcript dialogue into categories such as small talk, subjective, and objective, based on the dialogue’s clinical relevance. Categories can be subsequently used to help locate specific portions of the transcript.
Validate outputs with evidence mapping
Every sentence in the AI-generated clinical note includes references to the original consultation transcript, making it easier for users to validate the accuracy of the summary. Providing traceability and transparency for AI-generated insights is consistent with Responsible AI’s principle of explainability. Sharing references along with the summary notes to clinicians or medical scribes helps foster trust and encourages safe use of AI in clinical settings.
Eligible for HIPAA compliance
AWS HealthScribe is a HIPAA-eligible service that prioritizes security and privacy for patient data. The service does not retain inbound audio or output text, nor does it use your data to train AI models. You have full control to determine whether to store transcripts in local environments or self-managed cloud storage.
Reduce documentation time
Empower clinicians to quickly complete documentation with AI-generated clinical notes that are easier to finalize and validate for accuracy.
Boost medical scribe workflow efficiency
Equip scribes with an AI-generated transcript and clinical notes, alongside consultation audio, to expedite documentation turnaround time.
Create patient-friendly consultation recaps
Provide an experience that allows patients to quickly recollect key highlights of their conversation in your application.
AWS HealthImaging is designed for builders who develop cloud-native medical imaging applications. HealthImaging ingests data in the DICOM P10 format and provides APIs for low-latency retrieval and purpose-built storage.
Lower total cost of ownership
Reduce costs up to 40% by employing advanced compression and storing a single copy of each image in the cloud.
Fast image access
Access medical imaging data with subsecond image latency from anywhere, powered by cloud-native APIs and applications.
Automated infrastructure management
Reduce the burden of infrastructure management to focus time and resources on delivering high-quality patient care.
Robust partner network
Supported by major medical imaging vendors with cloud-native medical imaging workflows.
Enterprise imaging
Store and stream medical imaging directly from AWS while preserving low-latency performance and high availability.
Long-term archival
Save cost on long-term image archival while maintaining subsecond image retrieval access.
AI/ML development
Run artificial intelligence and machine learning (AI/ML) inference over the imaging archive with support from other tools and services.
Multimodal analysis
Combine clinical imaging with omics data and health records to deliver insights for precision medicine.
AWS HealthOmics is a purpose-built service that helps healthcare and life science organizations and their software partners store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health. It supports large-scale analysis and collaborative research.
Multiomic and multimodal analysis
Securely combine the multiomic data of individuals with their medical history to deliver more personalized care.
Population sequencing
Use purpose-built data stores to support large-scale analysis and collaborative research across entire populations.
Fully managed bioinformatics computation
Accelerate science and medicine with Ready2Run workflows or bring-your-own private bioinformatics workflows.
Built-in security, privacy, and compliance
Protect patient privacy with HIPAA eligibility and built-in data access and logging.
Scale population sequencing
Store and analyze omics data for hundreds of thousands of patients to understand how omics variation maps to phenotypes across a population.
Simplify clinical multiomics
Build reproducible and traceable clinical multiomics workflows to reduce turnaround times and increase productivity.
Accelerate clinical trials
Integrate multiomic analysis into clinical trials to test new drug candidates’ efficacy, accelerate the trials, and yield long-term savings.
Enhance research and innovation
Use built-in access controls to streamline storage and analysis of anonymized omics data and allow researchers to share data more securely.
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