Describe how predictive analytics is used operationally in clinical and business processes in health care. In your response to peers, describe one or more roles of predictive analytics in the health care environment.
Predictive analytics is an advanced branch of data analytics. It can also be defined as the process of using data history, machine learning techniques, algorithms among other data models to provide an assessment of future outcomes based on previous data results. Predictive analytics is a model that is being embraced in most healthcare facilities and companies as a result of technology impact. (Van Calster et al., 2019)
Predictive Analytics in Healthcare Settings
In health care facilities, health care professions also use predictive analytics models to prognosticate future medical outcomes of different patients. They employ this technique by extracting medical history from electronic health records, through machine learning algorithms. Clinicians operationalize predictive analytics by using different data tests in developing a prognosis score.The role of predictive analytics in health care settings is to improve patient care management (McCarthy et al., 2019). This is achievable because the data modeling tools help to detect early signs of patient health deterioration in emergency units as well as other wards.
Medical professionals also use predictive analytics in identifying patients that exposed to risks in their residential homes such as heart attacks, prevents patient readmission to surgery, and helps in determining whether a patient will take longer than average after a surgery session.
Role of Predictive Analytics in Business Processes
In cooperative business companies, a predictive analytical technique is used in determining customers’ responses in regards to customer service as well as assessing customers’ purchases. The role of the predictive analysis technique in business is to improve the quality of business operations. The tool manages to achieve effective results by attracting remunerative customers and providing ways for the companies to be able to retain such beneficiaries.
Companies use diverse predictive models in resource management as well as predicting their stock rates. In predictive analytics, businesses use methods such as data modeling, algorithms, and machine learning. Professionals can also use predictive analytics in studying the business trends that affect their business either positively or negatively and improve the outcomes based on the results they get.
McCarthy, R. V., McCarthy, M. M., Ceccucci, W., & Halawi, L. (2019). Applying predictive analytics: Finding value in data. Springer.
Van Calster, B., Wynants, L., Timmerman, D., Steyerberg, E. W., & Collins, G. S. (2019). Predictive analytics in health care: How can we know it works? Journal of the American Medical Informatics Association, 26(12), 1651-1654. https://doi.org/10.1093/jamia/ocz130