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Posted: January 12th, 2024

Discussion – Week 5 Big Data Risks and Rewards

Discussion – Week 5 Big Data Risks and Rewards

To Get Ready:

Examine the resources and think about the web article Big Data Means Big Potential, Big Challenges for Nurse Executives.
Consider your own experience with complex health information access and management and potential challenges and risks you may have encountered or witnessed.


Post an explanation of at least one potential benefit of using big data as part of a clinical system. Then, explain why you believe at least one potential challenge or risk of using big data as part of a clinical system exists. Propose at least one strategy that you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using the big data you described. Provide specifics and examples.

Big data has the potential to revolutionize healthcare delivery by providing nurse executives with actionable insights that can improve patient outcomes, reduce costs, and streamline care delivery. One of the main potential benefits of using big data in a clinical system is the ability to identify patterns and trends in patient data that can inform care decisions. For example, big data analytics can be used to identify patients at high risk of readmission, allowing nurse executives to target those patients with specific interventions that can reduce the risk of readmission. This can ultimately lead to better patient outcomes and cost savings for the healthcare system.

Despite the potential benefits of big data, there are also challenges and risks associated with its use in clinical systems. One potential challenge is ensuring the accuracy and integrity of the data being used. Big data sets are often collected from various sources, such as electronic health records, claims data, and patient-generated data, which can make it difficult to ensure the completeness and accuracy of the data. Inaccurate or incomplete data can lead to flawed conclusions and suboptimal care decisions.

A strategy that can effectively mitigate the challenges and risks of using big data in clinical systems is data governance. Data governance is the process of managing and ensuring the quality, integrity, and security of data. Effective data governance includes establishing policies and procedures for data collection, storage, and use, as well as training staff on data management best practices. Additionally, data governance should include ongoing monitoring and evaluation of data quality to ensure that the data is accurate, complete, and up to date. This can

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