Big Data Risks and Rewards

Big Data Risks and Rewards

       Data usage is part of our daily activity. It is expected that the health care system would turn into a data rich industry. Big data refers to data being gathered and analyzed to build trends in care and improve patient outcomes (What is big health care data, 2020).

                                                          Advantages

The advantages of using big data in health care are endless. In the healthcare organization, most employees have access to the data entry system, but the nursing staff is responsible for entering the patient’s essential information from admission to discharge. A few advantages of using big data include the nursing staff’s data improves communication with other disciplines and provides better patient outcomes. Other advantages include development of policies, improve employee education, monitor of care trends. The data system can help reduce the patient’s readmission rate by trending risk factors, cost clinical, setting operational data together to monitor productivity and outcome (W. Raghupathi, 2014).

Disadvantages

Some of the challenges are when the system does not recognize some of the medical terminologies when nurses or other health care professionals are charting ((Macieira et al., 2017). Other challenges are the risk of having a patient’s information stolen or hacked which can be terrifying to both patients and healthcare organizations. When big data is compromised, it put patient’s data at risk and all employees who have access to the system in the hospital or remotely because hackers are not only people from the outside of the hospital. It can be from the hospital employees accessing the wrong charts, their friends ‘charts, or their own personal medical records.  These are the most common type of high-level privacy violations (Brooks & Jiang, 2018).  To decrease these violations employees are educated about the seriousness of the violation and the penalties that come with them. At the facility where this nurse works, these violations can cause an employee to lose his/her job NURS 6051S Week 5 Discussion: Big Data Risks and Rewards.

References

Brooks, C., & Jiang, X. (2018, November 16). Health care providers – not hackers – leak more of your data. MSUToday. https://msutoday.msu.edu/news/2018/health-care-providers-not-hackers-leak-more-of-your-data/

Macieira, T., Smith, M. B., Davis, N., Yao, Y., Wilkie, D. J., Lopez, K. D., & Keenan, G. (2017). Evidence of progress in making nursing practice visible using standardized nursing data: A systematic review. PubMed Central (PMC). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977718/

Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: Promise and potential. PubMed Central (PMC). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4341817/

What is patient engagement? | Evariant: The leading healthcare CRM solution. (n.d.). Healthgrades | Evariant. https://www.evariant.com/faq/what-is-healthcare-big-data   NURS 6051S Week 5 Discussion: Big Data Risks and Rewards