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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. The ability to seize these advantages is one way that pharmaceutical companies may be able to gain sizable competitive edge.

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The most valuable AI use cases for business

IBM Big Data Hub

Using historical data of production, generative AI can predict or locate equipment failures in real time—and then suggest equipment adjustments, repair options or needed spare parts. Explore IBM® watsonx.ai™ The post The most valuable AI use cases for business appeared first on IBM Blog.

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

Reltio

These platforms help manage data quality challenges in real-time ensuring that business users have the accurate, up-to-date information they need for sound decision making. In this blog post, we explore the significance of data quality in the pharmaceutical industry and explain how a modern MDM platform serves to address these challenges.

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NHS’ Plans to Share Patient Records with Third Parties

Data Matters

NHS Digital (the national custodian for health and care data in England) in May 2021, announced a new data sharing initiative called the General Practice Data for Planning and Research (GPDPR) service. The Notice further states that the data will never be shared with marketing or insurance companies.

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12 considerations when choosing MES software

IBM Big Data Hub

Data analytics and reporting: The MES software should provide comprehensive analytics and reporting capabilities, allowing you to track and analyze KPIs, production trends and efficiency metrics. pharmaceuticals, aerospace, etc.), Compliance and security: For industries with strict regulatory requirements (e.g.,