Big Data Risks and Rewards: Big Data in Healthcare
Big Data in Healthcare – Post a description of at least one potential benefit of using big data as part of a clinical system and explain why and explain why…
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Big Data Risks and Rewards: Big Data in Healthcare
Paper details
As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards.
To Prepare:
- Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs.
https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs
- Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed.
Instruction:
Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples.
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Solution
Big Data in Healthcare
Introduction
Big Data is a critical concept that helps organizations perform the analysis of patterns, trends, and associations and use the disclosures for the prediction of outcomes. In healthcare, big data is used to allow significant advancements and prevention in most healthcare aspects as it facilitates early detection and prevention.
Also, it ensures tracking of medications in more effective ways hence encouraging better records and accuracy in the care of patients (Thew, 2016). A primary Big Data system applied in palliative care presently is the Electronic Health Records, EHR. It is imperative to examine the application and use of big data within the contemporary health care system to determine the associated benefits, challenges, and the way forward.
Associated Benefits
Health care data provide a much cheaper and viable alternative for collecting and analyzing data. Many diseases have not been researched adequately, thus the need to study past data sets to address current medical challenges (Wang, Kung, Gupta, & Ozdemir, 2019). Apart from saving on costs, big data allows for more time to be focused on other areas of development and research that might have been side-lined.
Risks and Challenges
The primary challenge with ‘’big data’’ is management and issues of privacy and confidentiality of the patient’s data. There are constraints on how health care systems view problems related to proprietary rights and privacy issues sharing of sensitive patient data. Health care systems face the challenge of sharing these data sets and research works with other health providers, software vendors, and even the patients (Manogaran, Lopez, Thota, Abbas, Pyne, & Sundarasekar, 2017). Breach of patient’s rights may result in the health institutions warrants litigation, which is an uphill task.
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Strategy
Since ‘’big data’’ is still at the infancy stage, a lot needs to be done to improve patient outcomes. This strategy will need to begin with acquiring patient assurance and informing government policies towards quality healthcare. At the same time, governments should address the quality of data collected, data privacy, and restructure regulatory policies related to healthcare systems (Andreu-Perez 1197). This strategical approach will, for example, utilize the Medical Information Mart for Intensive Care (MIMIC) database on de-identifying patient information towards enhancing patient’s privacy needs.
References
- Andreu-Perez, J., Poon, C. C., Merrifield, R. D., Wong, S. T., & Yang, G. Z. (2015). Big data for health. IEEE Journal of biomedical and health informatics, 19(4), 1193-1208.
- Manogaran, G., Lopez, D., Thota, C., Abbas, K. M., Pyne, S., & Sundarasekar, R. (2017). Big data analytics in healthcare Internet of Things. Innovative healthcare systems for the 21st century (pp. 263-284). Springer, Cham.
- Thew, J. (2016). Big Data Means Big Potential, Challenges for Nurse Execs, Health Leaders Media. Retrieved 14 March 2020, from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs
- Wang, Y., Kung, L., Gupta, S., & Ozdemir, S. (2019). Leveraging big data analytics to improve the quality of care in healthcare organizations: A configurational perspective. British Journal of Management, 30(2), 362-388.
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