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Mastering healthcare data governance with data lineage

IBM Big Data Hub

The healthcare industry faces arguably the highest stakes when it comes to data governance. The impact of healthcare data usage on people’s lives lies at the heart of why data governance in healthcare is so crucial.In healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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Delivering responsible AI in the healthcare and life sciences industry

IBM Big Data Hub

With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations.

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Intelligent Search – Strategies to Find What You Need

AIIM

Regardless of your industry, managing information intelligently requires the ability to find, store, and use information effectively and flexibly in order to get good results. This framework enables you to deliver Intelligent Search by integrating Artificial Intelligence (AI) with conventional enterprise search capabilities.

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The benefits of AI in healthcare

IBM Big Data Hub

Artificial intelligence is used in healthcare for everything from answering patient questions to assisting with surgeries and developing new pharmaceuticals, benefitting both patients and healthcare systems. How does artificial intelligence benefit healthcare?

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Despite advancements in the pharmaceutical industry and biomedical research, delivering drugs to market is still a complex process with tremendous opportunity for improvement. Efficient clinical trial site selection continues to be a prominent industry-wide challenge.

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Regulatory Update: NAIC Summer 2020 National Meeting

Data Matters

Despite not being able to meet in-person, the NAIC utilized the Summer Meeting as an opportunity to host conversations among insurance regulators, industry members and consumers regarding recent events, including the impact of COVID-19 on the insurance industry as well as racial inequality and the promotion of diversity in the insurance industry.

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Breaking Down Barriers: Data Quality as a Driver for Pharma Transformation

Reltio

The life sciences industry faces many challenges driving a critical need for rapid digital transformation with data-driven decision-making as the backbone for change. The industry faces several data quality challenges, including with data governance, data silos, and data integration.

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