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A Guide to API-Led Digital Transformation in Healthcare 

Astera

A Guide to API-Led Digital Transformation in Healthcare The US healthcare industry is grappling with several issues, from surging costs and inefficient management to declining levels of care. The United States spends twice as much per capita on healthcare, yet lags behind other developed nations in patient outcomes.

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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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Fundamentals of Data Analytics

The BAWorld

DA is essential in scientific research, healthcare, finance, and a variety of other industries, allowing scientists to solve puzzles, improve medical care, and develop novel technology. As the volume and complexity of data increase, DA will become increasingly important in managing the digital age’s difficulties and opportunities.

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The Power Of Real Time Analytics & Business Intelligence Explained

Data Pine

To serve up quality real time data, real time business analytics platforms leverage smart data storage solutions that empower users to gain access to up-to-the-minute insights in one centralized location and act accordingly. a) IT project management dashboard. click to enlarge**.

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Data Vault 2.0: What You Need to Know

Astera

It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. With its ability to adapt to changing data types and offer real-time data processing capabilities, it empowers businesses to make timely, data-driven decisions.

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Raise Your BI, Finance or Marketing Game at Domopalooza

Domo

When The DICE Group —a collection of innovation teams within Thomas Jefferson University’s healthcare system—was tasked with finding a way to reduce the time it takes for patients to request appointments, it decided to start by giving them the option to fill out a shorter form and by launching a chatbot.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

Automated data cleansing involves using AI to detect and remove inaccuracies, inconsistencies, errors, and missing information from a data warehouse, ensuring that the data is accurate and reliable.