Nursing homework help

 

Evelyn  

RE: Discussion – Week 4

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Data is very important in our daily lives; almost in our everyday endeavors we generate data. In clinical system, the use of data cannot be over emphasized since healthcare dealings with patient are built on data to generate information.  According to Laureate Education 2018, data is a separate unbiased fact joining information sets to create knowledge. One of the benefits of big data is that it helps in capturing and in the distribution of patient care information across disciplines and care settings. Knowing a patient baseline is very important in a clinical setting. With big data entered into patients Electronics Health Records (EHRs) we can retrieve patients past information and use it to aid clinical decision. For example, analyzing a patient’s past EKG strips will further inform us of the patient’s baseline heart condition.

CHALLENGES OF USING BIG DATA IN CLINICAL SETTING

Use of big data like every other thing in life also poses some challenges. It is sometimes difficult to compare data collected from one organization to data collected across other organization because there are no standardized terminologies therefore making it very difficult to interpret which is further supported by Keenan, (2014) that there is a limited use of generated data due to poor interoperability. For big data to impact patient’s outcome, it has to be accurate, measurable and interpretable.

STRATEGIES TO MITIGAGE THE CHALLENGES

In order to overcome these big challenges, there should be a standardized structure of big data and nurses should act as data visioneers and architects which is further supported by Thew (2016) that big data should be collected, measured, represented and stored in the same way across Electronics Health Records (EHRs) and organizations. For big data to improve patients outcome, it must be analyzable and be easily translated by any organization. The Office of the National Coordinator of Health Information Technology (2017) also states that if nursing data are not organized in an institutionalize electronic format, or easily translated to a vocabulary used by interdisciplinary care team members, the value and contributions of nursing to patient outcomes may not be measurable

References

Keenan, G. (2014). Big Data in Health Care: An Urgent Mandate to Change Nursing EHRs!

Online Journal of Nursing Informatics ( OJNI), 18 (1) Retrieved from

http://ojni.orga,issues/?p=3081.

Laureate Education (Producer). (2018). Data-Information-Knowledge-Wisdom [Video file].

Baltimore, MD: Author.

Office of the National Coordinator of Health Information Technology (2017). Standard nursing

terminologies; A landscape analysis, Retrieved from

https://www.healthit.gov/sites/default/files/snt/_final_05302017.pdf

 

 

Thew, J.(2016, April 2019).Big data means big potential, challenges for nurse execs. Retrieved

from

https://www.Healthleadersmedia.com/nursing/big-data-means-big-potential-challenges- nurse-

execs

 

 

 

 

Heidi

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The use of big data refers to a large volume of data that cannot be processed using traditional methods, but whose results can be used to make evidence- based decisions (SAS, n.d.).  As with all technology, big data, can be beneficial and have some challenges.

Benefit of Big Data

Using big data in health care can benefit us in many ways.  Some of those are consistency of care, personalized medicine, increased efficiency, increases awareness, and improved population health (Wagner, 2018).  All of these are important and can be influenced by each other, however, consistency of care seems to be the foundation for it all to begin.  If different members of the care team have access to the patient’s past medical history the care would be more consistent.  There would be little guess work as to how another provider was treating a patient because all that information would be within the electronic health record that multiple providers can access.

Challenge of Big Data

Just as personal health information needs protected, big data is not immune to security breaches either.  When this information becomes regional and global it can be more difficult to maintain security and needs to be consistently monitored and reviewed (Fatt & Ramadas, 2018, p. 2). This could be a challenge since we are dealing with such a large amount of data.

Strategies for Challenges

Keeping personal health information secure is an ongoing process.  There seem to be new ways to breach data every day.  We need to be proactive about staying on top of private health information.  Some ways of doing this are transmission security, authentication protocols, controls over access, integrity, and auditing (HealthITAnalytics, 2019).  We should be enabling firewalls, anti-virus software, and encrypting personal data (HealthITAnalytics, 2019).

References

Fatt, Q. K., & Ramadas, A. (2018). Journal of Healthcare Communications. The Usefulness and Challenges of Big Data in Healthcare3(2), 1-4. doi:10.4172/2472-1654

HealthITAnalytics. (2019, June 19). Top 10 Challenges of Big Data Analytics in Healthcare. Retrieved from https://healthitanalytics.com/news/top-10-challenges-of-big-data-analytics-in-healthcare

SAS. (n.d.). Big Data: What it is and why it matters. Retrieved from https://www.sas.com/en_us/insights/big-data/what-is-big-data.html

Wagner, M. (2018, November 9). Big Data Means Big Benefits for Healthcare. Retrieved from https://www.trapollo.com/big-data-means-big-benefits-for-healthcare/

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