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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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Emerging Risks in Data Protection in Healthcare

GAVS Technology

Today, the healthcare industry faces several risks of data breaches and other data security and privacy challenges. Automation in healthcare systems, digitization of patient & clinical data, and increased information transparency are translating directly into higher chances for data compromise.

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Big Data And Analytics Has Been Around Forever! Why Is It Still Important?

Timo Elliott

And just having lots of data isn’t enough – what’s important is to be able to focus on what’s important. New intelligent data discovery technologies, powered by machine learning, can help you get to the heart of the problem faster: what’s new and unusual? And we can use it to improve things like healthcare.

Big Data 265
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What Is a Business Glossary? Definition, Components & Benefits

Astera

All three have a unique purpose in organizing, defining, and accessing data assets within an organization. For instance, in a healthcare institution, “Patient Admission” might be “the process of formally registering a patient for treatment or care within the facility.”

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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.

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Build Analytics, Build the Future

Sisense

Traditionally, these are the people who spend their days sourcing and managing the data pipeline, governance and security, customization, deployment, integration, automation, data discovery, calculations, reporting, and visualizations. These could be data engineers, developers, or analysts.

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What is Tableau?

The BAWorld

Data Analytics is the science of examining not just business but any raw data and information to draw insights using statistics, AI, machine learning, and so on. And visualization is representing data in an easily interpretable format. Visual analytics combines data analytics and data visualization.