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Managing Data Quality in Healthcare

Astera

This alarming statistic highlights the importance of maintaining data quality in healthcare. As healthcare data volume increases, ensuring the accuracy and completeness of the information obtained has become a challenge. Each year, medical errors in the US alone claim 100,000 lives.

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What are the Challenges of Applying Machine Learning in Economics and Business?

Analysts Corner

This section explores four main challenges: data quality, interpretability, generalizability, and ethical considerations, and discusses strategies for addressing each issue. Download end-to-end articles with codes 1.

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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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Data Quality Framework: What It Is and How to Implement It

Astera

What is a data quality framework? A data quality framework is a set of guidelines that enable you to measure, improve, and maintain the quality of data in your organization. It’s not a magic bullet—data quality is an ongoing process, and the framework is what provides it a structure.

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EDI 834, 835, and 837: Simplifying Healthcare Data Exchange

Astera

From retail and manufacturing to logistics and healthcare, electronic data interchange (EDI) streamlines the exchange of information by reducing paperwork, cutting costs, and improving accuracy. Healthcare providers rely heavily on EDI 834, 835, and 837 to ensure smooth operations.

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Unlocking the Power of Healthcare EDI Transactions: A Comprehensive Overview

Astera

Healthcare organizations deal with huge amounts of data every day, from patient records and claims to lab results and prescriptions. However, not all data is created equal. Different systems and formats can make data exchange difficult, costly, and error-prone. What Does EDI Stand for in Healthcare?

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Single Source of Truth: What Is It and Why Is It Essential?

Astera

Team members heavily depend on these repositories for decision-making, reporting and visualizing data, and other business intelligence activities. Here's What You Need to Know Free Download So where does it leave the enterprise? 2. Ensuring data quality Another major challenge is improving data quality.