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EDI Cost Savings: Transforming Data Management in Healthcare

Astera

Due to the growing volume of data and the necessity for real-time data exchange, effective management of data has grown increasingly important for businesses. As healthcare organizations are adapting to this change, Electronic Data Interchange (EDI) is emerging as a transformational solution.

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Improving Healthcare Data Governance and Integration with Astera

Astera

One of the key processes in healthcare data management is integrating data from many patient information sources into a centralized repository. This data comes from various sources, ranging from electronic health records (EHRs) and diagnostic reports to patient feedback and insurance details.

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Transforming Healthcare Efficiency: Save 80% of Time with Automated Medical Record Data Extraction 

Astera

Studies show that by automating just 36% of document processes, healthcare organizations can save up to hours of work time and $11 billion in claims. So, let’s delve further into how healthcare organizations are significantly improving their medical record management processes using an automated data extraction tool.

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Global Hospitals Embark On A Worldwide Medical Data Initiative

Smart Data Collective

Big data is changing the nature of healthcare. One of the biggest developments was the implementation of the Medical Information Mart for Intensive Care , which took data from 50,000 patients dating back to 2001. Big data will have an even more profound impact in the near future. How will this revolution be set in motion?

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EDI vs API: Achieving Data Exchange Excellence through a Unified Approach

Astera

This technology has been around since the 1970s and is commonly used for exchanging purchase orders, invoices, and other business documents in various industries, including supply chain, healthcare, and more. Exploring APIs APIs revolutionized software integration and data exchange when they emerged in the 2000s.

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Your Guide to Form Processing

Astera

Healthcare Forms: Patient intake forms, medical history forms, and insurance claims in healthcare involve a lot of unstructured data. Form processing extracts patient details, medical history, and insurance information to improve the efficiency of healthcare processes.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

Data Pine

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?