The healthcare industry generates a tremendous amount of data but struggles to convert that data into insights that improve patient outcomes and operational efficiencies.
Data Analytics in healthcare industry represents:
- Automated collection of data.
- Processing and analysing the complex healthcare data to gain better insights.
- Enable healthcare practitioners to make well- informed decisions.
GTL Solution: Business Intelligence and Analytics Implementation using AWS
Amazon Web Services (AWS) offers several warehouse solutions for storing and managing large amounts of data.
Amazon Redshift: A fully managed, petabyte-scale data warehouse service that makes it easy to quickly analyse data using SQL and your existing business intelligence tools.
Amazon RDS: A fully managed relational database service that makes it easy to set up, operate, and scale a relational database in the cloud. It supports popular database engines such as MySQL, PostgreSQL, and Oracle.
Amazon S3: A fully managed object storage service that allows you to store and retrieve any amount of data, at any time, from anywhere on the internet. It can be used as a data lake for storing raw data for analytics and machine learning workloads.
Amazon QuickSight is a business intelligence and data visualization service provided by Amazon Web Services (AWS).
It allows users to create and share interactive dashboards and visualizations of their data, using a drag-and-drop interface and pre-built templates.
It supports data sources such as Amazon Redshift, Amazon RDS, and Amazon S3, as well as other data sources via ODBC/JDBC connectors.
It also provides collaboration features such as sharing and commenting and allows for embedding visualizations in other applications.
Benefits of the Solution Provided
Manage vast amounts of collected data and provide their organizations with actionable insights. The insights would be developed through analytical disciplines to drive fact-based decision making. In turn, these decisions improve planning, management, measurement, and learning.
Reduce operational costs, improve coordination with care teams, provide more with less, and focus on improving patient care.