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Data mining nursing care plans of end-of-li... [Int J Nurs Knowl. 2013] - PubMed - NCBI

Data mining nursing care plans of end-of-li... [Int J Nurs Knowl. 2013] - PubMed - NCBI

 2013 Feb;24(1):15-24. doi: 10.1111/j.2047-3095.2012.01217.x. Epub 2012 Aug 17.

Data mining nursing care plans of end-of-life patients: a study to improve healthcare decision making.



To reveal hidden patterns and knowledge present in nursing care information documented with standardized nursing terminologies on end-of-life (EOL) hospitalized patients.


596 episodes of care that included pain as a problem on a patient's care plan were examined using statistical and data mining tools. The data were extracted from the Hands-On Automated Nursing Data System database of nursing care plan episodes (n = 40,747) coded with NANDA-I, Nursing Outcomes Classification, and Nursing Intervention Classification (NNN) terminologies. System episode data (episode = care plans updated at every hand-off on a patient while staying on a hospital unit) had been previously gathered in eight units located in four different healthcare facilities (total episodes = 40,747; EOL episodes = 1,425) over 2 years and anonymized prior to this analyses.


Results show multiple discoveries, including EOL patients with hospital stays (<72 hr) are less likely (p < .005) to meet the pain relief goals compared with EOL patients with longer hospital stays.


  The study demonstrates some major benefits of systematically integrating NNN into electronic health records.
© 2012, The Authors International Journal of Nursing Knowledge © 2012, NANDA International.

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