The Application of Data to Problem-Solving

The Application of Data to Problem-Solving

Nursing informatics (NI) is developed on knowledge acquisition, processing, generation and dissemination, nursing practice ethics, information, and computing (McGonigle & Mastrian, 2021). NI aims to promote nursing practice. However, the main challenges facing NI are the lack of proper training and NI competencies and nurses’ perception of using computers in primary care (Luo, 2019). NI allows efficient collection and access to patient data and information, thus promoting positive nursing care, patient safety, and healthcare outcomes (Lee et al., 2019).

My hypothetical scenario in my nursing practice involves a Care Plan for a 48-year-old male with diabetes and hypertension comorbidities and unreported chronic obstructive lung disease. In this case scenario, the 48-year-old male, J.K., is a new patient who was brought to the clinic in a coma. The patient had reported diabetes and hypertension diseases. The patient further complains of having regular dry coughs and sometimes with mucus and shortness of breath, especially after they smoke or do a little exercise. It was identified that the patient was inconsistent with medications or checkups. They have also not observed the recommended diet to manage their situation. After tests, JK is further diagnosed with COLD besides his existing diabetic and hypertensive conditions, thus requiring urgent medical attention. Upon review of the previously requested receipt of the continuum of care profile for JK from the previous health facility, it is clear there are no updated EHRs on the patient. The last update was done a few months ago. The nurse felt no need to update the profile for an inconsistent patient regularly. The lack of this data not only hampers the required action to provide emergency care for JK but also threatens the management of JK’s health conditions. This involves collecting new patient data based on lab tests and observations within the hospital settings and developing a new EHR profile for JK.

References

Lee, S., Jeon, M. Y., & Kim, E. O. (2019). Implementation of Structured Documentation and Standard Nursing Statements: Nurses’ Perceptions in Acute Care Settings. CIN – Computers Informatics Nursing, 37(5), 266–275. https://doi.org/10.1097/CIN.0000000000000510

Luo, S. (2019). Special focus issue on nursing informatics: Challenges of utilizing electronic health records. International Journal of Nursing Sciences, 6(1), 125. https://doi.org/10.1016/j.ijnss.2018.11.001

McGonigle, D., & Mastrian, K. (2021). Nursing informatics and the foundation of knowledge. https://books.google.com/books?hl=en&lr=&id=d94XEAAAQBAJ&oi=fnd&pg=PP1&dq=Nursing+Informatics+and+the+foundation+of+knowledge&ots=NjCSBJHwoY&sig=0JSAxN6z3yT4abELDUdFLzCfvos

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The Application of Data to Problem-Solving

In the modern era, few professions do not rely on data to some extent. 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 report on the purchase and sale of property. In these cases, data helps solve problems and adds to the practitioner’s and the discipline’s body of knowledge.

Of course, the nursing profession also relies heavily on data. Nursing informatics aims to ensure nurses have access to the appropriate data 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 problem-solving and knowledge formation.

To Prepare:

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

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 to form an understanding from this experience?