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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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How Data and Smart Technology Are Helping Hospitalists

Smart Data Collective

Using AI-driven tools and smart software, hospitalists can quickly and easily access a patient’s medical history, minimizing the time spent searching for and reviewing paper records. Smart systems are also helping acute care physicians streamline their workflow, freeing up time to focus on more complex tasks and seeing more patients.

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How To Improve Your Facility Management With Healthcare Reports

Data Pine

Healthcare is one of the world’s most essential sectors. As a result of increasing demand in certain branches of healthcare, driving down unnecessary expenditure while enhancing overall productivity is vital. We’ve delved into the impact of big data in healthcare. What Is Healthcare Reporting?

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Simplifying Medical Claims Processing with Astera 

Astera

Efficient medical claims processing is crucial for timely patient care and financial stability in healthcare. This makes it an ideal tool for healthcare providers and insurance companies who need to extract data from medical claims for analysis but do not have a technical background.

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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. Most of this data is still unprocessed.

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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. This is where AI-based analysis and response play a critical role in extracting optimal value from the data. and constantly report this data to backend.

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How companies are driving innovation with AIOps

GAVS Technology

With AIOps, the team monitors and prepares for any potential threats in the process and is able to solve them in seconds. Zomato is another stellar case study on how machine learning and AI data analytics monitoring tools can contribute to innovative thinking. AIOps in healthcare. Data Monitoring & Absorption.