Application of Big Data in Decision Making for Emergency Healthcare Management
| Autor: | Kelvin Tak Yiu Leung, Anne Stevenson |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Health professionals
business.industry education Big data medicine.disease Patient care InformationSystems_GENERAL Big data for healthcare management unstructured data in decision making data analysis in emergency services ambulance paramedic data analytics Health care medicine Research studies Medical emergency business Psychology Emergency healthcare Theme (narrative) |
| Zdroj: | International Journal of Research and Engineering. 5:311-314 |
| ISSN: | 2348-7860 2348-7852 |
| DOI: | 10.21276/ijre.2018.5.2.2 |
| Popis: | Application of big data in healthcare has enhanced efficiency and decision making. This is of critical benefit to patients, healthcare professionals and the healthcare institution. Although various research studies have examined the application of big data analytics in healthcare, few studies have explored its application in emergency medicine. This research study explored the application of big data in emergency medicine in facilitating decision making among paramedics and other healthcare practitioners. Appropriate research studies were identified and reviewed systematically to explore the theme of the study. The study found that big data promoted decision making in emergency medicine through the predictor models, which enabled the healthcare practitioners make informed judgments concerning patient care. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|