Integration of the Outcomes and Assessment Information Set (OASIS-BI) into the Medical Entities Dictionary (MED) using the LOINC Semantic Structures as a Terminology Model

2.50
Hdl Handle:
http://hdl.handle.net/10755/163507
Category:
Abstract
Type:
Presentation
Title:
Integration of the Outcomes and Assessment Information Set (OASIS-BI) into the Medical Entities Dictionary (MED) using the LOINC Semantic Structures as a Terminology Model
Author(s):
Choi, Jeungok; Jenkins, Melinda L.; White, Thomas M.; Cimino, James J.; Bakken Suzanne
Author Details:
Jeungok Choi, RN, PhD, Postdoctoral research fellow, Columbia University, School of Nursing, Belmont, Massachusetts, USA, email: jc2338@columbia.edu; Melinda L. Jenkins, APRN, BC, PhD; Thomas M. White, MD, MS, MA; James J. Cimino, MD; Suzanne Bakken, RN, DNSc
Abstract:
Purpose: Monitoring patient outcomes across sites requires comparable data. Nurses' work in home health care will likely be more readily integrated into electronic patient records if OASIS-B1 data are coded with standardized terms. The purposes of this study were (1) to code OASIS-B1 concepts with LOINC and integrate them into a reference terminology, (2) to examine potential hierarchic structures within LOINC among OASIS-B1 and other nursing terms, and (3) to evaluate a web-based system for OASIS-B1. Methods: OASIS-B1 questions were coded with LOINC terms and integrated into a local reference terminology, the MED. Each term was matched to LOINC-coded nursing terms. OASIS-B1 terms were implemented into the web-based system Dialogix. Results: 204 out of 209 OASIS-B1 terms were successfully dissected into the LOINC semantics structure, and integrated into the MED with minor revisions of MED semantics. Percent agreement between three coders ranged from 80 to 100%. A total of 151 OASIS-B1 terms mapped to one or more of the LOINC-coded nursing terms; the majority of nursing terms were less granular than OASIS-B1 terms. Percent agreement between coders for mapping ranged from 65 to 90%. OASIS-B1 items were successfully implemented as web pages in Dialogix. Conclusions and Implications: The LOINC semantic structure representing OASIS-B1 concepts demonstrates a generic way of adding home health care data to a comprehensive patient record to facilitate data sharing for monitoring outcomes across sites and to further terminology management, decision support, and accurate information retrieval for evidence-based practice. Dialogix implementation of the OASIS-B1 instrument improved the detection and management of errors by setting validation criteria to check responses against expectations.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2005
Conference Name:
17th Annual Scientific Sessions
Conference Host:
Eastern Nursing Research Society
Conference Location:
New York, New York, USA
Description:
�Translational Research for Quality Health Outcomes: Affecting Practice and Healthcare Policy�, held on April 7th -9th at the Roosevelt Hotel, New York
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titleIntegration of the Outcomes and Assessment Information Set (OASIS-BI) into the Medical Entities Dictionary (MED) using the LOINC Semantic Structures as a Terminology Modelen_GB
dc.contributor.authorChoi, Jeungoken_US
dc.contributor.authorJenkins, Melinda L.en_US
dc.contributor.authorWhite, Thomas M.en_US
dc.contributor.authorCimino, James J.en_US
dc.contributor.authorBakken Suzanneen_US
dc.author.detailsJeungok Choi, RN, PhD, Postdoctoral research fellow, Columbia University, School of Nursing, Belmont, Massachusetts, USA, email: jc2338@columbia.edu; Melinda L. Jenkins, APRN, BC, PhD; Thomas M. White, MD, MS, MA; James J. Cimino, MD; Suzanne Bakken, RN, DNScen_US
dc.identifier.urihttp://hdl.handle.net/10755/163507-
dc.description.abstractPurpose: Monitoring patient outcomes across sites requires comparable data. Nurses' work in home health care will likely be more readily integrated into electronic patient records if OASIS-B1 data are coded with standardized terms. The purposes of this study were (1) to code OASIS-B1 concepts with LOINC and integrate them into a reference terminology, (2) to examine potential hierarchic structures within LOINC among OASIS-B1 and other nursing terms, and (3) to evaluate a web-based system for OASIS-B1. Methods: OASIS-B1 questions were coded with LOINC terms and integrated into a local reference terminology, the MED. Each term was matched to LOINC-coded nursing terms. OASIS-B1 terms were implemented into the web-based system Dialogix. Results: 204 out of 209 OASIS-B1 terms were successfully dissected into the LOINC semantics structure, and integrated into the MED with minor revisions of MED semantics. Percent agreement between three coders ranged from 80 to 100%. A total of 151 OASIS-B1 terms mapped to one or more of the LOINC-coded nursing terms; the majority of nursing terms were less granular than OASIS-B1 terms. Percent agreement between coders for mapping ranged from 65 to 90%. OASIS-B1 items were successfully implemented as web pages in Dialogix. Conclusions and Implications: The LOINC semantic structure representing OASIS-B1 concepts demonstrates a generic way of adding home health care data to a comprehensive patient record to facilitate data sharing for monitoring outcomes across sites and to further terminology management, decision support, and accurate information retrieval for evidence-based practice. Dialogix implementation of the OASIS-B1 instrument improved the detection and management of errors by setting validation criteria to check responses against expectations.en_GB
dc.date.available2011-10-27T11:08:45Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T11:08:45Z-
dc.conference.date2005en_US
dc.conference.name17th Annual Scientific Sessionsen_US
dc.conference.hostEastern Nursing Research Societyen_US
dc.conference.locationNew York, New York, USAen_US
dc.description�Translational Research for Quality Health Outcomes: Affecting Practice and Healthcare Policy�, held on April 7th -9th at the Roosevelt Hotel, New Yorken_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
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