Analysis of improving diagnostic accuracy and confidentiality for patients via imparting knowledge of critical thinking
DOI:
https://doi.org/10.56294/hl2024.409Keywords:
Nursing, critical thinking, diagnosis, patient safety, healthcareAbstract
Healthcare practitioners must carefully consider patient data and draw reliable conclusions as part of the diagnostic procedure. Additionally, it is essential for moral and legal reasons to safeguard patient anonymity. This aims to improve patient care and healthcare outcomes by examining how critical thinking can improve diagnostic accuracy and confidentiality. The descriptive quantitative approach was adopted in this pilot investigation. Fifty instructors from a local hospital in an informal sample. The data was gathered by online surveys that were pre- and post-administered by the lead investigator. Quick post-classroom survey responses revealed gains in all measures of perceived capacity for imparting critical thinking. All response rates increased between the pre-and post-training surveys, with the ranking of the capacity to impart critical thinking being the only question where ratings increased. Staff involved in nursing advancement should be able to conduct a self-assessment of their proficiency in this area. When gaps in knowledge are exposed, remediation through teaching is warranted.
References
1. Richards JB, Hayes MM, Schwartzstein RM. Teaching clinical reasoning and critical thinking: from cognitive theory to practical application. Chest. 2020 Oct;158(4):1617-28.
2. Mlambo M, Silén C, McGrath C. Lifelong learning and nurses’ continuing professional development: a metasynthesis of the literature. BMC Nurs. 2021 Dec;20:1-3.
3. Zhang X, Meng K, Chen S. Competency framework for specialist critical care nurses: a modified Delphi study. Nurs Crit Care. 2020 Jan;25(1):45-52.
4. Bag S, Gupta S, Choi TM, Kumar A. Roles of innovation leadership on using big data analytics to establish resilient healthcare supply chains to combat the COVID-19 pandemic: a multimethodological study. IEEE Transactions on Engineering Management. 2021;XX:XX-XX.
5. Everett-Thomas R, Joseph L, Trujillo G. Using virtual simulation and electronic health records to assess student nurses' documentation and critical thinking skills. Nurse Educ Today. 2021;99:104770.
6. O'Flaherty J, Costabile M. Using a science simulation-based learning tool to develop students' active learning, self-confidence, and critical thinking in academic writing. Nurse Educ Pract. 2020;47:102839.
7. Kramer M, Förtsch C, Boone WJ, Seidel T, Neuhaus BJ. Investigating pre-service biology teachers' diagnostic competencies: relationships between professional knowledge, diagnostic activities, and diagnostic accuracy. Educ Sci. 2021 Mar;11(3):89.
8. Arts L, Lim EHT, van de Ven PM, Heunks L, Tuinman PR. The diagnostic accuracy of lung auscultation in adult patients with acute pulmonary pathologies: a meta-analysis. Sci Rep. 2020 Apr 30;10(1):7347.
9. Cook CE, Décary S. Higher-order thinking about differential diagnosis. Braz J Phys Ther. 2020 Jan;24(1):1-7.
10. Cocchieri A, Cesare M, Anderson G, Zega M, Damiani G, D'agostino F. Effectiveness of the Primary Nursing Model on nursing documentation accuracy: a quasi‐experimental study. J Clin Nurs. 2023 Apr;32(7-8):1251-61.
11. Every-Palmer S, Inns SJ, Ellis PM. Constipation screening in people taking clozapine: a diagnostic accuracy study. Schizophr Res. 2020;220:179-86.
12. Ho MH, Montgomery A, Traynor V, Chang CC, Kuo KN, Chang HC, Chen KH. Diagnostic performance of delirium assessment tools in critically ill patients: a systematic review and meta‐analysis. Worldviews Evid Based Nurs. 2020 Aug;17(4):301-10.
13. Ljungström L, Pernestig AK, Jacobsson G, Andersson R, Usener B, Tilevik D. Diagnostic accuracy of procalcitonin, neutrophil-lymphocyte count ratio, C-reactive protein, and lactate in patients with suspected bacterial sepsis. PLoS One. 2017 Jul;12(7):e0181704.
14. Kamp-Becker I, Albertowski K, Becker J, Ghahreman M, Langmann A, Mingebach T, et al. Diagnostic accuracy of the ADOS and ADOS-2 in clinical practice. Eur Child Adolesc Psychiatry. 2018;27:1193-207.
15. Sandhu S, Lin AL, Brajer N, Sperling J, Ratliff W, Bedoya AD, Balu S, O'Brien C, Sendak MP. Integrating a machine learning system into clinical workflows: qualitative study. Journal of Medical Internet Research. 2020 Nov 19;22(11):e22421.
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Copyright (c) 2024 Ajit Kumar Lenka, Patil Dilip P, Vijay Jagdish Upadhye, Mrutunjay Dash, Pooja Sharma, Romil Jain, RenukaJyothi S (Author)
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