Literature DB >> 14643734

Data mining issues and opportunities for building nursing knowledge.

Linda Goodwin1, Michele VanDyne, Simon Lin, Steven Talbert.   

Abstract

Health care information systems tend to capture data for nursing tasks, and have little basis in nursing knowledge. Opportunity lies in an important issue where the knowledge used by expert nurses (nursing knowledge workers) in caring for patients is undervalued in the health care system. The complexity of nursing's knowledge base remains poorly articulated and inadequately represented in contemporary information systems. There is opportunity for data mining methods to assist with discovering important linkages between clinical data, nursing interventions, and patient outcomes. Following a brief overview of relevant data mining techniques, a preterm risk prediction case study illustrates the opportunities and describes typical data mining issues in the nontrivial task of building knowledge. Building knowledge in nursing, using data mining or any other method, will make progress only if important data that capture expert nurses' contributions are available in clinical information systems configurations.

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Year:  2003        PMID: 14643734     DOI: 10.1016/j.jbi.2003.09.020

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  9 in total

1.  Integrating evidence into clinical information systems for nursing decision support.

Authors:  Suzanne Bakken; Leanne M Currie; Nam-Ju Lee; W Dan Roberts; Sarah A Collins; James J Cimino
Journal:  Int J Med Inform       Date:  2007-09-29       Impact factor: 4.046

2.  Evidence-based staffing: potential roles for informatics.

Authors:  Sookyung Hyun; Suzanne Bakken; Kathy Douglas; Patricia W Stone
Journal:  Nurs Econ       Date:  2008 May-Jun       Impact factor: 1.085

3.  Predictive Modeling for End-of-Life Pain Outcome using Electronic Health Records.

Authors:  Muhammad K Lodhi; Janet Stifter; Yingwei Yao; Rashid Ansari; Gail M Kee-Nan; Diana J Wilkie; Ashfaq A Khokhar
Journal:  Adv Data Min       Date:  2015-06-20

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

Authors:  Fadi Almasalha; Dianhui Xu; Gail M Keenan; Ashfaq Khokhar; Yingwei Yao; Yu-C Chen; Andy Johnson; R Ansari; Diana J Wilkie
Journal:  Int J Nurs Knowl       Date:  2012-08-17       Impact factor: 1.222

Review 5.  Data mining in healthcare and biomedicine: a survey of the literature.

Authors:  Illhoi Yoo; Patricia Alafaireet; Miroslav Marinov; Keila Pena-Hernandez; Rajitha Gopidi; Jia-Fu Chang; Lei Hua
Journal:  J Med Syst       Date:  2011-05-03       Impact factor: 4.460

6.  Bibliometric mapping of intensive care nurses' wellbeing: development and application of the new iAnalysis model.

Authors:  Rebecca J Jarden; Ajit Narayanan; Margaret Sandham; Richard J Siegert; Jane Koziol-McLain
Journal:  BMC Nurs       Date:  2019-06-03

Review 7.  A nursing informatics research agenda for 2008-18: contextual influences and key components.

Authors:  Suzanne Bakken; Patricia W Stone; Elaine L Larson
Journal:  Nurs Outlook       Date:  2008 Sep-Oct       Impact factor: 3.250

8.  Mining routinely collected acute data to reveal non-linear relationships between nurse staffing levels and outcomes.

Authors:  Alison Leary; Rob Cook; Sarahjane Jones; Judith Smith; Malcolm Gough; Elaine Maxwell; Geoffrey Punshon; Mark Radford
Journal:  BMJ Open       Date:  2016-12-16       Impact factor: 2.692

9.  Content Analysis of Student Essays after Attending a Problem-Based Learning Course: Facilitating the Development of Critical Thinking and Communication Skills in Japanese Nursing Students.

Authors:  Tomoya Itatani; Kyoko Nagata; Kiyoko Yanagihara; Noriko Tabuchi
Journal:  Healthcare (Basel)       Date:  2017-08-22
  9 in total

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