Overview
Quickly implement a low-code healthcare data lake for no-code exploratory data analysis. 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.
Highlights
- 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.
- 02 — Design & Implementation 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
- 03 — Enablement 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.
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