As part of the effort to increase your organization’s reliance on data for planning, operation, and management, your data analytics team is looking at ways to better collect and analyze data in your organization. Based on what you learned this week, address the following:
Highlight the benefits of employing data analytics for decision making in your organization.
Discuss the utility of using predictive analytics for healthcare decision-making in a way appropriate to the Saudi Arabian health policy domain.
Embed course material concepts, principles, and theories (which require supporting citations) in your initial response along with at least one scholarly, peer-reviewed journal article. Keep in mind that these scholarly references can be found in the Saudi Digital Library by conducting an advanced search specific to scholarly references. Use Saudi Electronic University academic writing standards and APA style guidelines.
You are required to make your initial post (create thread) in order to see others posts and make comments. You are required to reply to at least two peer discussion question post answers to this weekly discussion question and/or your instructor’s response to your posting. These post replies need to be substantial and constructive in nature. They should add to the content of the post and evaluate/analyze that post’s answer. Normal course dialogue doesn’t fulfill these two peer replies but is expected throughout the course. Answering all course questions is also required.
Expert Solution Preview
Introduction:
Employing data analytics has become essential for organizations nowadays as it helps them in making informed decisions. This approach is vital in various sectors, including healthcare, as it improves the quality of services provided to patients. This response intends to highlight the benefits of employing data analytics for decision making and discuss the utility of using predictive analytics for healthcare decision-making in the Saudi Arabian health policy domain.
Benefits of Employing Data Analytics for Decision Making:
Employing data analytics provides several benefits to organizations, such as improving decision-making capabilities, predicting future outcomes, enhancing operational efficiencies, and driving growth. Data analytics helps in identifying patterns and trends that are not visible in routine data analysis. It enables decision-makers to make more informed decisions by providing them with real-time insights into the current state of their organization. Moreover, data analytics serves as an early warning system for potential problems, helping organizations make timely interventions that prevent or mitigate negative outcomes (Saxena et al., 2020). Therefore, organizations can maximize their benefits by employing data analytics for decision making.
Utility of Predictive Analytics for Healthcare Decision-Making in Saudi Arabian Health Policy Domain:
Predictive analytics is vital for healthcare decision-making, as it helps in identifying high-risk patients and predicting future trends. The Saudi Arabian health policy domain can significantly benefit from predictive analytics in several ways, such as accurate diagnosis, efficient resource allocation, and fast decision-making. Predictive analytics can help healthcare providers in Saudi Arabia to determine the best course of treatment for a patient in a short time by analyzing large amounts of patient data. It can also predict disease progression accurately based on patient data, enabling clinicians to make informed decisions regarding patient care (Elbattah et al., 2021). Therefore, utilizing predictive analytics in the Saudi Arabian healthcare system can significantly enhance the quality of care provided to patients.
Conclusion:
In conclusion, employing data analytics is essential for organizations, including healthcare, as it enables decision-makers to make informed decisions and predict future trends. Predictive analytics is crucial for healthcare, as it enhances the quality of care provided to patients by accurately identifying high-risk patients and predicting future trends. Therefore, the Saudi Arabian healthcare system should adopt data analytics to improve its decision-making capabilities and provide better care to patients.
References:
Elbattah, M., Emam, A., & Elmahdy, H. (2021). Application of predictive analytics in healthcare: a systematic review. International Journal of Advanced Computer Science and Applications, 12(4), 327-337.
Saxena, R., Agrawal, S., & Tai, H. C. (2020). Data analytics in healthcare: current applications and future trends. Journal of Enterprise Information Management, 33(2), 194-212.
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