The Use of Electronic Health Records for Nursing Research and Evidence-Based Practice

2.50
Hdl Handle:
http://hdl.handle.net/10755/159126
Type:
Presentation
Title:
The Use of Electronic Health Records for Nursing Research and Evidence-Based Practice
Abstract:
The Use of Electronic Health Records for Nursing Research and Evidence-Based Practice
Conference Sponsor:Midwest Nursing Research Society
Conference Year:2006
Author:Kim, Tae Youn, PhD, RN
P.I. Institution Name:University of Wisconsin - Milwaukee
Title:Post Doctoral Fellow
Contact Address:CON - Cunningham Hall, Rm. 647, PO Box 413, Milwaukee, WI, 53201, USA
Contact Telephone:414-229-3986
Co-Authors:Norma M. Lang, PhD, RN, FAAN, Professor; Mary Hagle, PhD, RN, AOCN; and Susan E Ela, MSN, RN
Along with increasing the implementation of clinical information systems, massive amounts of clinical data are being accumulated and remain unused to sustain clinicians' decision-making in practice as well as advance nursing science. Assuming that numerous causal and interactive relationships exist in clinical data repositories, the purposes of this study were to (a) obtain a better understanding of the current state of data from electronic health records; and (b) examine the usability of clinical data for conducting research and promoting evidence-based practice for nursing. As part of the study, a pre-existing dataset constructed for pressure ulcers and fall prevention studies was explored. The pre-existing dataset consisted of approximately 2,500,000 rows which were created from 11 chart forms, laboratory results, and administrative data. The subjects included a total of 5,796 adult patients who were 18 years of age or older and were admitted or transferred to medical/surgical, ACE (acute care for the elderly), rehabilitation, and/or intensive care units (a total of 23 units) of two hospitals between April 1, 2004 to September 30, 2004. As an analytic approach, the Knowledge Discovery in Databases (KDD) process was adopted due to the large volume of data and unrecognizable text data values. This study revealed that these electronic health records can generate localized ôevidenceö fitting into a specific nursing care context and thus improve the quality of care by incorporating evidence into information systems. However, further efforts are needed to ensure the quality of data in order to achieve better health outcomes for patients and identify nurses' contributions to patient outcomes. Lessons learned from the study provide an opportunity in designing a clinical data/knowledge structure that facilitates nursing research and develops intelligent clinical decision support systems.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Midwest Nursing Research Society

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleThe Use of Electronic Health Records for Nursing Research and Evidence-Based Practiceen_GB
dc.identifier.urihttp://hdl.handle.net/10755/159126-
dc.description.abstract<table><tr><td colspan="2" class="item-title">The Use of Electronic Health Records for Nursing Research and Evidence-Based Practice</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Midwest Nursing Research Society</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2006</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Kim, Tae Youn, PhD, RN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Wisconsin - Milwaukee</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Post Doctoral Fellow</td></tr><tr class="item-address"><td class="label">Contact Address:</td><td class="value">CON - Cunningham Hall, Rm. 647, PO Box 413, Milwaukee, WI, 53201, USA</td></tr><tr class="item-phone"><td class="label">Contact Telephone:</td><td class="value">414-229-3986</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">kimty@uwm.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Norma M. Lang, PhD, RN, FAAN, Professor; Mary Hagle, PhD, RN, AOCN; and Susan E Ela, MSN, RN</td></tr><tr><td colspan="2" class="item-abstract">Along with increasing the implementation of clinical information systems, massive amounts of clinical data are being accumulated and remain unused to sustain clinicians' decision-making in practice as well as advance nursing science. Assuming that numerous causal and interactive relationships exist in clinical data repositories, the purposes of this study were to (a) obtain a better understanding of the current state of data from electronic health records; and (b) examine the usability of clinical data for conducting research and promoting evidence-based practice for nursing. As part of the study, a pre-existing dataset constructed for pressure ulcers and fall prevention studies was explored. The pre-existing dataset consisted of approximately 2,500,000 rows which were created from 11 chart forms, laboratory results, and administrative data. The subjects included a total of 5,796 adult patients who were 18 years of age or older and were admitted or transferred to medical/surgical, ACE (acute care for the elderly), rehabilitation, and/or intensive care units (a total of 23 units) of two hospitals between April 1, 2004 to September 30, 2004. As an analytic approach, the Knowledge Discovery in Databases (KDD) process was adopted due to the large volume of data and unrecognizable text data values. This study revealed that these electronic health records can generate localized &ocirc;evidence&ouml; fitting into a specific nursing care context and thus improve the quality of care by incorporating evidence into information systems. However, further efforts are needed to ensure the quality of data in order to achieve better health outcomes for patients and identify nurses' contributions to patient outcomes. Lessons learned from the study provide an opportunity in designing a clinical data/knowledge structure that facilitates nursing research and develops intelligent clinical decision support systems.</td></tr></table>en_GB
dc.date.available2011-10-26T21:43:48Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T21:43:48Z-
dc.description.sponsorshipMidwest Nursing Research Societyen_GB
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