Remove Data Quality Remove Healthcare Remove Real-time Data
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3 data trends that will drive the future of healthcare

Tableau

The past few years have been ones of radical change in the healthcare industry. The pandemic accelerated the transformation to digital, and it made everyone take a closer look at how to use data to make that transition faster and easier, but also to find new ways to improve outcomes. Molly Brown. Executive Content Manager, Tableau.

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3 data trends that will drive the future of healthcare

Tableau

The past few years have been ones of radical change in the healthcare industry. The pandemic accelerated the transformation to digital, and it made everyone take a closer look at how to use data to make that transition faster and easier, but also to find new ways to improve outcomes. Molly Brown. Executive Content Manager, Tableau.

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Healthcare Data Integration: Unify Data from Multiple Sources

Astera

Healthcare data integration is a critical component of modern healthcare systems. Combining data from disparate sources, such as EHRs and medical devices, allow providers to gain a complete picture of patient health and streamline workflows. This data is mostly available in a structured format and easily accessible.

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What is Streaming ETL?

Astera

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

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What is a Data Pipeline?

Astera

By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Evolution of Data Pipelines: From CPU Automation to Real-Time Flow Data pipelines have evolved over the past four decades, originating from the automation of CPU instructions to the seamless flow of real-time data.

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The Importance of Data Preparation for Machine Learning

Astera

Data scientists commit nearly 80% of their time to data preparation, but only 3% of company data fulfills basic data quality standards. Data Preparation’s Importance in ML A machine learning model’s performance is directly affected by data quality.

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All You Need to Know About Data Aggregation

Astera

Government: Using regional and administrative level demographic data to guide decision-making. Healthcare: Reviewing patient data by medical condition/diagnosis, department, and hospital. Besides being relevant, your data must be complete, up-to-date, and accurate.