Literature DB >> 26418298

Usability of the Clinical Care Classification System for Representing Nursing Practice According to Specialty.

Rung-Chuang Feng1, Polun Chang.   

Abstract

This study examined the ability of the Clinical Care Classification system to represent nursing record data across various nursing specialties. The data comprised nursing care plan records from December 1998 to October 2008 in a medical center. The total number of care plan documentation we analyzed was 2 060 178, and we used a process of knowledge discovery in datasets for data analysis. The results showed that 75.42% of the documented diagnosis terms could be mapped using the Clinical Care Classification system. However, a difference in nursing terminology emerged among various nursing specialties, ranging from 0.1% for otorhinolaryngology to 100% for colorectal surgery and plastic surgery. The top five nursing diagnoses were identified as knowledge deficit, acute pain, infection risk, falling risk, and bleeding risk, which were the most common health problems in an acute care setting but not in non-acute care settings. Overall, we identified a total of 21 established nursing diagnoses, which we recommend adding to the Clinical Care Classification system, most of which are applicable to emergency and intensive care specialties. Our results show that Clinical Care Classification is useful for documenting patient's problems in an acute setting, but we suggest adding new diagnoses to identify health problems in specialty settings.

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Year:  2015        PMID: 26418298     DOI: 10.1097/CIN.0000000000000107

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   1.985


  1 in total

1.  Identifying nurses' concern concepts about patient deterioration using a standard nursing terminology.

Authors:  Min-Jeoung Kang; Patricia C Dykes; Tom Z Korach; Li Zhou; Kumiko O Schnock; Jennifer Thate; Kimberly Whalen; Haomiao Jia; Jessica Schwartz; Jose P Garcia; Christopher Knaplund; Kenrick D Cato; Sarah Collins Rossetti
Journal:  Int J Med Inform       Date:  2019-10-31       Impact factor: 4.046

  1 in total

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