Literature DB >> 25278645

Practice-Based Knowledge Discovery for Comparative Effectiveness Research: An Organizing Framework.

Robert J Lucero1, Suzanne Bakken2.   

Abstract

Electronic health information systems can increase the ability of health-care organizations to investigate the effects of clinical interventions. The authors present an organizing framework that integrates outcomes and informatics research paradigms to guide knowledge discovery in electronic clinical databases. They illustrate its application using the example of hospital acquired pressure ulcers (HAPU). The Knowledge Discovery through Informatics for Comparative Effectiveness Research (KDI-CER) framework was conceived as a heuristic to conceptualize study designs and address potential methodological limitations imposed by using a single research perspective. Advances in informatics research can play a complementary role in advancing the field of outcomes research including CER. The KDI-CER framework can be used to facilitate knowledge discovery from routinely collected electronic clinical data.

Entities:  

Keywords:  comparative effectiveness; data mining; health services; informatics; knowledge generation; research

Year:  2013        PMID: 25278645      PMCID: PMC4179869          DOI: 10.1177/084456211304500109

Source DB:  PubMed          Journal:  Can J Nurs Res        ISSN: 0844-5621


  31 in total

1.  Data mining approach to policy analysis in a health insurance domain.

Authors:  Y M Chae; S H Ho; K W Cho; D H Lee; S H Ji
Journal:  Int J Med Inform       Date:  2001-07       Impact factor: 4.046

Review 2.  Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers.

Authors:  Sun-Mi Lee; Patricia A Abbott
Journal:  J Biomed Inform       Date:  2003 Aug-Oct       Impact factor: 6.317

3.  Classification of smoking cessation status with a backpropagation neural network.

Authors:  Mollie R Poynton; Anna M McDaniel
Journal:  J Biomed Inform       Date:  2006-03-24       Impact factor: 6.317

Review 4.  The gap between evidence and practice.

Authors:  Louise Liang
Journal:  Health Aff (Millwood)       Date:  2007-01-26       Impact factor: 6.301

5.  Outcomes research: measuring the end results of health care.

Authors:  C M Clancy; J M Eisenberg
Journal:  Science       Date:  1998-10-09       Impact factor: 47.728

6.  The impact of hospital nursing characteristics on 30-day mortality.

Authors:  Carole A Estabrooks; William K Midodzi; Greta G Cummings; Kathryn L Ricker; Phyllis Giovannetti
Journal:  Nurs Res       Date:  2005 Mar-Apr       Impact factor: 2.381

7.  Results of the 2008-2009 International Pressure Ulcer Prevalence Survey and a 3-year, acute care, unit-specific analysis.

Authors:  Catherine VanGilder; Stephanie Amlung; Patrick Harrison; Stephanie Meyer
Journal:  Ostomy Wound Manage       Date:  2009-11-01       Impact factor: 2.629

Review 8.  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

Review 9.  Risk assessment for prevention of morbidity and mortality: lessons for pressure ulcer prevention.

Authors:  T M Reynolds
Journal:  J Tissue Viability       Date:  2008-02-20       Impact factor: 2.932

10.  Using machine learning algorithms to guide rehabilitation planning for home care clients.

Authors:  Mu Zhu; Zhanyang Zhang; John P Hirdes; Paul Stolee
Journal:  BMC Med Inform Decis Mak       Date:  2007-12-20       Impact factor: 2.796

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