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Description

The Role of Big Data in Enhancing Healthcare Decision-Making: A Mixed-Methods Study

Abstract

The role of big data analytics (BDA) in enhancing healthcare decision-making is covered in this study by using a mixed-method approach. It has a significant role in improving the decision-making process of various industries including healthcare. However, the growing demand for modern techniques in healthcare has increased the volume of data generated across healthcare systems. The healthcare systems are prioritizing the use of such technologies for optimizing the value of healthcare. For instance, medical experts utilize it to handle huge volume of information exchanged in healthcare systems. Moreover, BDA efficiently uses and enhances huge volume of facts.

However, it explores the data of different assets like patient records, bills, and medical hardware for compelling effective decisions. It assists with handling huge volumes of healthcare information with high effectiveness and speed. For instance, BDA could lead to the implementation of enhanced data modeling and investigation data analysis for upgrading medical services systems. The research demonstrates impact of BDA on healthcare decision-making by utilizing a mixed methodology. Quantitative analysis describes the precision and effectiveness of BDA in advancing healthcare information. Whereas qualitative analysis conducts interviews with medical experts to find the benefits and difficulties of BDA in making effective decisions.

Furthermore, it offers various advantages in the healthcare framework such as diagnosis, efficient clinical care, customized therapy, and quick clinical examination. The research efficiently describes the significance of BDA in advancing the decision-making procedures. The data connected to the significance of BDA in medical care systems is obtained by using mixed methodology. Additionally, the review explains that the BDA has helped clinical specialists in making successful choices in medical services. Besides, it has a significant part in optimizing the decisions and operations of healthcare. Finally, the mixed methods approach helped to obtain essential facts for describing the influence of BDA.

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