Nurse Practitioner Adherence to Practice Protocol: Clinical Visits Recording in Improving Healthcare Outcomes

Nurse Practitioner Adherence to Practice Protocol: Clinical Visits Recording in Improving

Healthcare Outcomes

State your clinical question or topic for your capstone project proposal
Even though there are tools available to nurse practitioners to use to identify a health
issue or concern, the assessments are not included in the records of the clinical visit (Nittas,
2019). Consequently, a missed opportunity to improve healthcare quality is experienced because
the data may not be utilized in preparing future cases, for example, by means of prevention. The
documentation of clinical visits can be of assistance in the distribution of resources required for
the reinforcement of prevention strategies, the provision of education to victims, and the
provision of post-visit guidance.
What issue is the question/topic addressing?
This proposal aims to enhance the recording of clinical visit outcomes through accessible
assessment tools to increase the resources available for education, thus improving patient service
and ultimately leading to better health outcomes. The evaluation tools and resources would be
fashioned after the most recent guidelines and practices that have been proven beneficial to
patients' health to ensure optimal assessment of the patients and ultimately better-achieved
results. The collected data must be precisely recorded and archived for future planning and
decision-making through data science.
What are the reasons you selected this question/topic?
The selection of this topic can be attributed to the alarming rise in the prevalence of
mental diseases across the world, which has gotten the focus of health officials involved in the
fight against the epidemic. According to a report that the WHO distributed, at least 970 million
people, or at least 1 out of each eight people, suffer mental disorders (Who.int., 2022).

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Consequently, mental health professionals are increasingly turning to data science, which is the
application of collected data in diagnosing, treating, and even event-based prevention of mental
health problems (McIntosh et al., 2016).

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References

McIntosh, A. M., Stewart, R., John, A., Smith, D. J., Davis, K., Sudlow, C., ... & Group, M. D.
S. (2016). Data science for mental health: a UK perspective on a global challenge. The
Lancet Psychiatry, 3(10), 993-998.
Nittas, V., Lun, P., Ehrler, F., Puhan, M. A., & Mütsch, M. (2019). Electronic patient-generated
health data facilitate disease prevention and health promotion: scoping review. Journal of
medical Internet research, 21(10), e13320.
Who.int. (2022). Mental disorders. Retrieved 17 August 2022, from https://www.who.int/news-
room/fact-sheets/detail/mental-disorders.