NURS FPX 6414 Assessment 3 Tool Kit for Bioinformatics

NURS FPX 6414 Assessment 3 Tool Kit for Bioinformatics

NURS FPX 6414 Assessment 3 Tool Kit for Bioinformatics

Name

Capella University

NURS-FPX 6414 Advancing Health Care Through Data Mining

Prof. Name

Date

Executive Summary

Healthcare delivery is becoming more advanced and sophisticated with the use of technology. The field of bioinformatics helps to incorporate technology with data to improve healthcare delivery and use its benefits of it. The healthcare field is specifically focusing on bioinformatics to use policies and practices to improve decision-making and care delivery. The recent COVID Pandemic has affected almost the world. It causes acute respiratory infection. It is necessary to understand the causes of the infection to reduce and prevent it. The preventive interventions require a significant amount of data from the patients to be analyzed to understand what increases the spread of the infection (Meng et al., 2020). It has been found that patients with multiple serious diseases are more prone to this infection. 

The use of Best Practice Advisory Alert (BPA) and Clinical Decision Support (CDS) has helped millions of people to live healthy life. Many healthcare settings use CDS in the form of BPA to send alerts to patients about their medical conditions (Baumgart, 2020). Electronic Health Record (EHR) has enabled healthcare professionals to use the patients’ data and take needful actions based on it. The alerts by BPA are provided in the form of a pop-up where the patients are regularly reminded about their treatments. The use of BPA allows healthcare professionals to keep the patients up to date regarding their therapies which is not only beneficial for the patients but also helps the hospitals to reduce the hospitals’ readmission rates.  

References

Baumgart, D. C. (2020). Digital advantage in the COVID-19 response: perspective from Canada’s largest integrated digitalized healthcare system. Npj Digital Medicine3(1). https://doi.org/10.1038/s41746-020-00326-y 

NURS FPX 6414 Assessment 3 Tool Kit for Bioinformatics

Meng, L., Dong, D., Li, L., Niu, M., Bai, Y., Wang, M., Qiu, X., Zha, Y., & Tian, J. (2020). A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study. IEEE Journal of Biomedical and Health Informatics24(12), 3576–3584.
https://doi.org/10.1109/JBHI.2020.3034296