Benefits Of Data Analytics on the Healthcare Supply Chain Ummer Farookh Pulikkaparambil . Abstract The poster aims to determine the benefits a healthcare facility can reap from data analytics. The benefit of data analytics outweighs its shortcomings, such as heavy technological investment, and the facility can continuously improve its treatment approaches and have real-time information flow among departments. The Benefits Of Data Analytics In The Healthcare Industry. Applying data analytics to medical research can increase public health organizations' capacity to anticipate disease outbreaks, improve illness prevention, improve health outcomes, and lengthen life expectancy. Real-time Alerting Of Patient Data To Improve Health Results Any healthcare facility should have its main objective to continuously improve its patients' health outcomes. This involves detailed research on the possible causes of various viruses and sicknesses to have a ready solution to the customer's needs (Cozzoli et al., 2022). Medical Research Is Improved Through Clinical Data Analysis. Researchers use the results from various patient medical records and reports to identify and improve their treatment approaches and accuracy in diagnosing various diseases, such as cancer, and in determining the multiple risks that increase the probability of a specific condition (Maryville University, 2021). Source: medium.com, 2023 Improve The Healthcare Workforce A healthcare facility can identify staffing issues through data analytics and develop a better plan to recruit, train and develop its workforce. Data analytics enables any healthcare facility to reduce labor costs and increase efficiency (Maryville University, 2021). Create Awareness Among Patients On Preventive Measures Data analytics enables a health care professional to analyze a patient medical history, educate the patient on more ways to improve their health, reduce risks of future attacks, and focus on improving their physical fitness through exercises and activities that actively engage the heart (Cozzoli et al., 2022). Reference lists • Arbormetrix. (2022). Homepage. ArborMetrix. https://www.arbormetrix.com/ • Cozzoli, N., Salvatore, F. P., Faccilongo, N., & Milone, M. (2022). How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review. BMC Health Services Research, 22(1). https://doi.org/10.1186/s12913-022-08167-z • Healthcare. (2021). Healthcare IT Analytics News on Healthcare BI, Population Health and Data Management - HealthITAnalytics. Healthitanalytics.com. https://healthitanalytics.com/ • Maryville University. (2021, August 3). 4 Benefits of Data Analytics in Healthcare. Maryville Online. https://online.maryville.edu/blog/dataanalytics-in-healthcare/ • RevCycleIntelligence. (2018, August 17). Data Analytics Add Value to Healthcare Supply Chain Management. RevCycleIntelligence. https://revcycleintelligence.com/features/data-analytics-add-value-to-healthcare-supply-chain-management
