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Posted: February 28th, 2022

The Application of Data to Problem-Solving

The Application of Data to Problem-Solving
Number of sources: 3
Paper instructions:
In the modern era, there are few professions that do not to some extent rely on data. Stockbrokers rely on market data to advise clients on financial matters. Meteorologists rely on weather data to forecast weather conditions, while realtors rely on data to advise on the purchase and sale of property. In these and other cases, data not only helps solve problems, but adds to the practitioner’s and the discipline’s body of knowledge.

Of course, the nursing profession also relies heavily on data. The field of nursing informatics aims to make sure nurses have access to the appropriate date to solve healthcare problems, make decisions in the interest of patients, and add to knowledge.

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?

___________________________
Scenario

I am a nurse leader in a large hospital. One of the challenges we face is that our patients often have complex medical needs. This can make it difficult to coordinate care and ensure that patients receive the best possible treatment.

Data

We have access to a variety of data that could be used to improve care coordination. This data includes:

Patient medical records
Nursing notes
Medication orders
Diagnostic test results
Discharge summaries
Data Collection and Access

The data is currently stored in a variety of systems. This can make it difficult to access and analyze the data. We are working to improve data access by implementing a single electronic health record (EHR). This will allow us to easily access all of the data about a patient in one place.

Knowledge

The data can be used to identify patterns and trends in patient care. This information can be used to improve the way we coordinate care. For example, we can use the data to identify patients who are at risk for readmission to the hospital. We can then develop interventions to reduce the risk of readmission.

Clinical Reasoning and Judgment

Nurse leaders use clinical reasoning and judgment to interpret the data and make decisions about how to improve care. For example, a nurse leader might use the data to identify a patient who is at risk for falls. The nurse leader would then develop a plan to reduce the risk of falls. This plan might include interventions such as providing the patient with a fall risk assessment, educating the patient about fall prevention, and providing the patient with a fall prevention device.

Conclusion

The use of data can improve the way we coordinate care. By collecting and analyzing data, we can identify patterns and trends in patient care. This information can be used to develop interventions to improve care. Nurse leaders use clinical reasoning and judgment to interpret the data and make decisions about how to improve care.

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