Application of Data to Problem-Solving – Best Nursing Sample Essay Solutions(2022)

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In this Discussion, you will consider a scenario that would benefit from access to data and how such access could facilitate both problem-solving and knowledge formation.

To Prepare:

Reflect on the concepts of informatics and knowledge work as presented in the Resources.

Consider a hypothetical scenario based on your own healthcare practice or organization that would require or benefit from the access/collection and application of data. Your scenario may involve a patient, staff, or management problem or gap.

…

Solution

Application of Data to Problem-Solving

Adequate and appropriate application of healthcare data can lower treatment costs, predict epidemic outbreaks, avoid preventable diseases, and lead to improved quality of life in general. In healthcare, analytics refers to analyzing current and historical data to predict trends, improve outreach, and manage the spread of diseases. Likewise, big data herein means the larger, more complex data sets, particularly from new data sources beyond the scope of management of traditional data processing software.

According to Zhu et al. (2019), the world’s digitization has dramatically expanded the amount of data collected. Big data technology has transformed the extraction, management, analysis, and interpretation of large data sets whose transformation into hypotheses can be translated into practice. Consequently, this discussion post proposes reducing preventable emergency department visits as a healthcare scenario that would benefit from access to big data. It is also imperative to examine how access to the selected hospital’s big data could facilitate problem-solving and knowledge formation.

Description of the Selected Healthcare Scenario

Healthcare professionals acknowledge that primary care seems unavoidable, whereby increasing access to primary care is bound to ensure preventive care, improve health care outcomes, a reduce costs. Bhatt & Bhathija (2018) note that 4 million Americans live in vulnerable rural and urban communities. With their hospital usually being the only healthcare source, they tend to have inadequate primary care access.

Under clinical leadership, clinical outcomes managers utilize data to change practice and collaborate with the care environment manager in an interdisciplinary healthcare team. As such, the use of big data in primary care is essential to build a higher-performing healthcare system that nurtures welfare and promotes a higher quality of care. Suffice it to say that access to primary care as guided by health analytics would mean early discovery and treatment of health problems before they develop into serious complications that would require admission in hospitals. 

How the Data Could be Used, Collected, and Accessed

Garcia (2015) observes that big data could enhance evidence-based practice standards if they are documented consistently using standard terminology. It could also be used to support research sponsored by one’s organization as conducting clinical research is known to improve the professional’s ability to care for their patients. The emergency department (ED) is a vital component of the US-designated healthcare system to offer urgent medical care instead of ongoing medical care. However, patients usually visit the ED for non-emergent complaints.

Subsequently, increased access to primary care can help lower ED visits and unnecessary hospital admissions and readmissions. The hospital’s data to be collected will be gathered from the physicians, social workers, case managers, and internal EPIC data besides the literature review. The EPIC database will capture the patient’s name, date and time of arrival in the ED, the patient’s contact information, and medical diagnosis, among other components. The data will then be accessed electronically.

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The knowledge gained would help a nurse leader use clinical reasoning in several ways. These ways include but are not limited to devising innovative strategies that would reduce patient wait time through measurement and leverage of scheduling (Dash et al., 2019). It would also help improve patient satisfaction and quality of care by streamlining the making of appointments, referrals, and insurance processing. 

In conclusion, this paper acknowledges that when the amount of data collected is large enough, the big data’s integrative analysis can determine non-causal relationships. This determination would change nursing practice, nursing research and nursing education, and the nursing profession’s advancement.

References

Bhatt, J., & Bathija, P. (2018). Ensuring access to quality health care in vulnerable communities. Academic Medicine, 93(9), 1271.

Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and prospects. Journal of Big Data, 6(1), 1-25.

Garcia, A. L. (2015). How big data can improve health care. Am Nurs Today, 10(7), 53-5.

Zhu, R., Han, S., Su, Y., Zhang, C., Yu, Q., & Duan, Z. (2019). International Journal of Nursing Sciences The application of big data and the development of nursing science: A discussion paper.

Question

In this Discussion, you will consider a scenario that would benefit from access to data and how such access could facilitate both problem-solving and knowledge formation.

To Prepare:

• Reflect on the concepts of informatics and knowledge work as presented in the Resources.
• Consider a hypothetical scenario based on your own healthcare practice or organization that would require or benefit from the access/collection and application of data. Your scenario may involve a patient, staff, or management problem or gap.

By Day 3 of Week 1

Post a description of the focus of your scenario. Describe the data that could be used and how the data might be collected and accessed. What knowledge might be derived from that data? How would a nurse leader use clinical reasoning and judgment in the formation of knowledge from this experience?

By Day 6 of Week 1

Respond to at least two of your colleagues* on two different days, asking questions to help clarify the scenario and application of data, or offering additional/alternative ideas for the application of nursing informatics principles.

*Note: Throughout this

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