Electronic Health Record

2

Electronic Health Record

2

Electronic Health Record

 

 

Electronic Health Record

Yanetsi Alayon

St. Thomas University

NUR 416 Nursing Research & Evidence-Based Practice

Prof. Kathleen Price

May 23rd, 2021

 

 

 

 

 

 

 

 

 

 

Electronic Health Record

Electronic Health Record The article titled “National trends in the safety performance of electronic health record systems from 2009 to 2018″ and written by Classen et al. (2020) made research on the effectiveness of Electronic Health Record (EHR). EHR is a technological patient’s chart that allows the healthcare workers to record, analyze, store, and effectively retrieve the patients’ data and the entire organization’s information on-demand (Shickel, Tighe, Bihorac & Rashidi, 2017). The article aligns with my practice because data safety is a paramount activity in a healthcare organization as it is a requirement from HIPPA. The article uses a qualitative method of research where it uses explanation to describe the effectiveness of the EHR without the use of graphs or tables.

The research question aims at identifying the safety performance of EHRs changes between 2009 and 2018 in the United States. In the article, the authors used a sample of 8657 hospitals across the United States. The hospitals sampled had adopted HER and National Quality Forum Health IT safety measures technologies between 2009 and 2018. Based on the article, the mean (SD) deviation rose from fifty-three percent to sixty-nine percent between 2009 and 2018.

According to the authors of the article, based on their findings indicated regardless of the wider optimization and adoption of EHR systems in healthcare sectors they are still wide variations in the effectiveness and safety performance of the operational Electronic Health Record. Hospitals with the sample had a higher test score than the other; however, there was an improvement of data analysis and management through the use of (EHR). The authors noted the EHR has considerable risks towards the patients’ data (Silic & Lowry, 2019). The software developer should develop strategies that protect the vulnerable in the systems that the black hat hackers can use to attach and compromise the organization’s information.

 

 

References

Classen, D. C., Holmgren, A. J., Newmark, L. P., Seger, D., Danforth, M., & Bates, D. W. (2020). National trends in the safety performance of electronic health record systems from 2009 to 2018. JAMA Network Open3(5)

Shickel, B., Tighe, P. J., Bihorac, A., & Rashidi, P. (2017). Deep EHR: a survey of recent advances in deep learning techniques for electronic health record (EHR) analysis. IEEE Journal of Biomedical and Health Informatics, 22(5), 1589-1604.

Silic, M., & Lowry, P. B. (2019). Breaking bad in cyberspace: Understanding why and how black hat hackers manage their nerves to commit their virtual crimes. Information Systems Frontiers, 1-13.

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