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A Guide for Healthcare Data Interoperability

Astera

The critical importance of healthcare data interoperability cannot be stressed enough. Without healthcare interoperability, healthcare providers may not have access to a patient’s complete medical history, leading to inaccurate diagnoses. Therefore, healthcare interoperability standards were introduced.

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What is big data and why is it important to Business ?

Analysts Corner

Velocity refers to the speed at which data is generated, analyzed, and processed. Variety refers to the different types of data generated, such as text, images, and video. Why is big data important to business? Healthcare providers can use big data to analyse patient data to improve treatment outcomes and reduce costs.

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5 Considerations for Choosing the Right Data Center

Smart Data Collective

Data center compliance can mean the difference between passing an audit and getting entangled in litigation. Security is also an essential consideration for data centers. For example, healthcare providers who handle sensitive patient data require data centers that are explicitly HIPAA-compliant.

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Fundamentals of Data Analytics

The BAWorld

Organizations may gain a competitive advantage, streamline operations, improve customer experiences, and manage complicated challenges by analyzing massive amounts of data. 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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How AI is Changing the Data Integration Process 

Astera

These algorithms can identify patterns in data and use machine learning (ML) models to learn and adapt to new data sources. AI also uses computer vision to extract data from images and videos. These algorithms are particularly useful when dealing with data sources that have different data formats or structures.

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Must-Have AI Features for Your App

Sisense

Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into products is now part of the learning curve that product teams have to manage. .

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Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

It ensures that data from different departments, like patient records, lab results, and billing, can be securely collected and accessed when needed. Selecting the right data architecture depends on the specific needs of a business. It’s crucial to ensure that their approach aligns with compliance requirements.