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Big Data Analytics Is The 21st Century’s Biggest Disruptor In Healthcare

Smart Data Collective

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Driving Massive Changes in Healthcare.

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AstraZeneca’s Axial Transformation: A Digital Backbone for Innovation

Timo Elliott

Serving millions of patients annually, AstraZenecas commitment to sustainability and growth through innovation underpins its ambitious vision to pioneer advancements in healthcare and improve lives worldwide. Early data governance frameworks and tools like Syniti helped but required more lead time than anticipated.

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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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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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5 Key Data Governance Principles for Effective Data Management

Astera

Digitalization has led to more data collection, integral to many industries from healthcare diagnoses to financial transactions. For instance, hospitals use data governance practices to break siloed data and decrease the risk of misdiagnosis or treatment delays.

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Exploring the Connection Between Data Governance and Data Quality

Astera

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition.

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Information Governance vs. Data Governance: A Comparative Analysis

Astera

However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.