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Data Governance Drives Outcomes In Healthcare

The Data Administration Newsletter

Over the last decade, there have been more than 4,000 data breaches in healthcare organizations. Unfortunately, a lot of those data breaches come from poorly organized or secure data. The solution to these sensitive issues in the healthcare industry is simple: data governance.

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Getting The Best From Healthcare AI

GAVS Technology

Co-founder & CIO, Healthcare Too. Is Healthcare Artificial Intelligence The Answer? To help explain the future of healthcare Artificial Intelligence (AI) let’s borrow a few lines from Lewis Carroll’s classic Alice in Wonderland : Alice: Would you tell me, please, which way I ought to go from here? General AI.

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What’s the Data on Healthcare in 2020 & Beyond?

The Data Administration Newsletter

In light of the economic impacts of COVID-19, tracking and analyzing data is important more than ever before, as the insights gained can help businesses survive. One of the most impacted industries in the wake of the pandemic has of course been healthcare. The changing ways […].

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Patient 360 & Journey Mapping using Graph Technology

GAVS Technology

With rising demands for quality and cost-effective patient care, healthcare providers are focusing on data-driven diagnostics while continuing to utilize their hard-earned human intelligence. In other words, data-driven healthcare is augmenting human intelligence. Srinivasan Sundararajan. 360 Degree View of Patient.

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The Rise of Small Data

GAVS Technology

Some examples of areas of potential application for small and wide data are demand forecasting in retail, real-time behavioral and emotional intelligence in customer service applied to hyper-personalization, and customer experience improvement. Master Data is key to the success of AI-driven insight. link] [link].

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Data Quality Framework: What It Is and How to Implement It

Astera

It’s not just about fixing errors—the framework goes beyond cleaning data as it emphasizes preventing data quality issues throughout the data lifecycle. A data quality management framework is an important pillar of the overall data strategy and should be treated as such for effective data management.

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Data Privacy Journey and its Importance

GAVS Technology

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