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What Makes Intelligent Document Processing Essential in Today’s Healthcare?

Astera

Healthcare data is set to soar, with projections showing that it will grow from 2,300 exabytes in 2020 to an impressive 10,800 exabytes by 2025. What’s more is that a large portion of this data is unstructured—scanned documents, handwritten notes, and PDFs that don’t easily integrate into traditional systems. billion DVDs!

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Will Document Automation Replace Us, or Redefine Us?

Astera

The Rise of Document Automation Document automation, powered by technologies like artificial intelligence (AI) and machine learning (ML), is transforming the way businesses manage everything from invoices and contracts to employee records and claims processing. In the past, businesses relied on manual processes to manage documents.

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OCR vs. IDP: Which is ideal for extracting data from documents?

Astera

The ability to extract key data points from a document accurately and timely is invaluable for businesses as decision-making depends on it. In a bid to enhance their existing document management and processing workflows, business and data leaders often engage in the OCR vs. IDP debate. IDP stands for intelligent document processing.

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Everything You Need to Know about RAG

Astera

Speaks the Language of Every Industry: LLMs often lack the specialized knowledge needed for industries like healthcare, finance, or legal services. Instead of creating new answers, it searches for documents or passages that best match the intent of the query.

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Improving Healthcare Cybersecurity Maturity

GAVS Technology

A Comprehensive Approach In today’s fast-changing healthcare environment, keeping patient information safe and making sure healthcare systems stay secure is crucial. Developing (Repeatable): Organizations at this stage have begun to establish and document cybersecurity policies and procedures.

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Information extraction using natural language processing (NLP)

Astera

Information extraction is the process of extracting requisite structured data from semi-structured or unstructured text-based data sources, such as PDF documents, web content, AI/large language model (LLM) generated content, etc. What is information extraction? How does NLP information extraction work?

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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.