Big data analytics in handling mechanisms of transforming healthcare performance: an approach technological management in addressing nurse workloads in emergency department

Abstract

Background: The importance of science related to Big Data was a need in overcoming the performance problems of health professionals to overcome disease healing for clients in the hospital. The understanding mechanism of Big Data in nursing will certainly positively impact the client’s recovery process during treatment in the hospital. Purpose: This study aims to find out how the Big Data mechanism can be applied in overcoming the performance of health workers in providing professional nursing care to clients. Methods: This research uses quantitative methods to measure Big Data’s health mechanisms’ degree of understanding. To obtain the common research finding, researchers used cross-sectional analysis. Meanwhile, to get valid results during the study, the researcher uses observational analytics techniques Result: Healthcare professionals were expected to understand Big Data and knowledge mechanisms in addressing client care. This can be seen from the research results that explain that (n) p-value (≤ 0.05), which means that understanding Big Data was essential in knowing how efficiently caring the clients’ health. Conclusion: Big data analysis is indispensable in health sciences at this time. Health data recorded in the database can help clients overcome health problems, especially those in the community. In addition, the work experience and ability of nurses to analyze Big Data medical records will undoubtedly have an impact on the rapid recovery of patients in hospitals.