01 — Discovery and Planning
Through a HealthLake enablement workshop and discovery session, we’ll discuss your data lake foundation and data exploration needs, then capture your requirements on data import, access patterns and governance
Enhance patient care with AWS HealthLake, an advanced analytics & artificial intelligence solution.
AWS HealthLake is a HIPAA-eligible service enabling healthcare and life sciences (HCLS) companies to securely store and transform their data into a consistent and queryable fashion. Through using HealthLake’s APIs, HCLS companies can easily ingest health data from on-premises systems to a secure data lake in the cloud, and analyze it at petabyte scale. AWS HealthLake uses machine learning (ML) models to automatically understand and extract meaningful medical information from the raw data, such as medications, procedures, and diagnoses, then organizes, indexes and stores it in the Fast Healthcare Interoperability Resources (FHIR) industry standard format to provide a complete view of each patient's medical history.
Caylent’s data engineering experts will build a HIPAA-eligible data lake and partner with your team to use this environment for Exploratory Data Analysis (EDA). You will be taught to quickly and easily ingest health data and to use the FHIR REST API to access and transform your data into a meaningful format.
Through a HealthLake enablement workshop and discovery session, we’ll discuss your data lake foundation and data exploration needs, then capture your requirements on data import, access patterns and governance
Based on your requirements, we’ll design, deploy and configure AWS HealthLake. Set up a FHIR data store, enable data storage and user security. Store and tag data; transform data through structuring data and NLP extraction
We’ll conduct an EDA lab to provide hands-on experience performing CRUD and search operations via API, queries via SQL in Athena as well as data analysis with QuickSight, Amazon Transcribe and Amazon Comprehend
Allergan
Availity
Care Logistics
Caylent’s experience working with complex technology organizations that require regulatory compliance has resulted in our team setting up hundreds of AWS Control Tower foundations. Caylent works alongside clients on new AWS Control Tower setups or can help organizations migrate from legacy account structure to AWS Control Tower.
This Catalyst© accelerates implementation of a production ready AWS foundation with AWS Control Tower.
Determine your current understanding and use of containers today as well as learn about your future state development objectives.
Based on your needs, you can choose to engage in up to 3 days of workshops which include; education, labs, deployment, reviews, initial consultation and scoping.
Deploy our configurable Catalyst© into your AWS account and participate in an enablement workshop using a sample Kubernetes application.
HealthLake
AWS Control Tower Deployment
Accounts
Guardrails
Best Practice VPC Deployed as Code
Deployment
AWS SSO
eBook
Revolutionize patient care with a modern data approach— download our eBook to learn how AWS can help you optimize your healthcare data, ensure compliance, and deliver personalized care.
Read HereCaylent Catalysts™
From implementing data lakes & migrating off commercial databases to optimizing data flows between systems, turn your data into insights with AWS cloud native data services.
Caylent Catalysts™
Plan and implement an MLOps strategy unique to your team's needs, capabilities, and current state, unlocking the next steps in tactical execution by offloading the infrastructure, data, operations, and automation work from data scientists.
Caylent Catalysts™
Accelerate the adoption of a production ready AWS foundation, and establish automated security guardrails to keep existing and new accounts in compliance with your desired security posture.
Caylent Catalysts™
Design new cloud native applications by providing secure, reliable and scalable development foundation and pathway to a minimum viable product (MVP).
Grant Koeneke
Chief Technology Officer