Evidence- Based Clinical Decision Making through Integration of a Mandated Resident Assessment Instrument and Transdisciplinary Team Effort

2.50
Hdl Handle:
http://hdl.handle.net/10755/151325
Type:
Presentation
Title:
Evidence- Based Clinical Decision Making through Integration of a Mandated Resident Assessment Instrument and Transdisciplinary Team Effort
Abstract:
Evidence- Based Clinical Decision Making through Integration of a Mandated Resident Assessment Instrument and Transdisciplinary Team Effort
Conference Sponsor:Sigma Theta Tau International
Conference Year:2007
Author:Nisan, Clara, RN, BScN, GNC, (C), MN
P.I. Institution Name:Baycrest , Affiliation with University of Toronto
Title:MDS COORDINATOR
[Evidence-based Presentation] Purpose: To illustrate theáimportanceáofáintegration of transdisciplinary teamwork, technology and informatics to realize and maximize the benefitsáderived from the evidence based Resident Assessment Instrument (RAI).á Baycrest is a large geriatric facility with 248 designated complex continuing care beds, 479 long-term care beds, and 220 assisted living beds with extensive clinic activity and community-based programs.áBaycrest is internationally known for research,áwith clinical foci in Alzheimer's, memory and aging. The presentation will show Baycrest's RAI data,áthe useáofáinternal and externalábenchmarking as well as the use of key quality indicators, clinical utilization, outcomes and a transdiciplinaryá team effort.áThis session will highlight the data collection process and critical elements related to data quality and timeliness of collection and describe the techno-socio challenges encountered and solutions implemented.áThe presentation will illustrate how informatics can be useful foráenhancing the use ofáthe data collected through RAI/MDS for decision-making, by describing how data is processed and resulting information disseminated.áThe presentation will describe the benefits of utilizing a web-based reporting tool to organize and analyze evidence-based integrated data and create customized reports, and will also describe how individuals, teams, and the organization use these reports for decision-making and toárealize the benefits for collecting RAI/MDS dataáto enableáábest practice.áSummary:áThe success of the project was achieved through integration of evidence based practice, transdisciplinary team effort and organizational ongoing support for technological changes that were required for RAI implementation.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleEvidence- Based Clinical Decision Making through Integration of a Mandated Resident Assessment Instrument and Transdisciplinary Team Efforten_GB
dc.identifier.urihttp://hdl.handle.net/10755/151325-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Evidence- Based Clinical Decision Making through Integration of a Mandated Resident Assessment Instrument and Transdisciplinary Team Effort</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2007</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Nisan, Clara, RN, BScN, GNC, (C), MN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Baycrest , Affiliation with University of Toronto</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">MDS COORDINATOR</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">cnisan@baycrest.org</td></tr><tr><td colspan="2" class="item-abstract">[Evidence-based Presentation] Purpose: To illustrate the&aacute;importance&aacute;of&aacute;integration of transdisciplinary teamwork, technology and informatics to realize and maximize the benefits&aacute;derived from the evidence based Resident Assessment Instrument (RAI).&aacute; Baycrest is a large geriatric facility with 248 designated complex continuing care beds, 479 long-term care beds, and 220 assisted living beds with extensive clinic activity and community-based programs.&aacute;Baycrest is internationally known for research,&aacute;with clinical foci in Alzheimer's, memory and aging. The presentation will show Baycrest's RAI data,&aacute;the use&aacute;of&aacute;internal and external&aacute;benchmarking as well as the use of key quality indicators, clinical utilization, outcomes and a transdiciplinary&aacute; team effort.&aacute;This session will highlight the data collection process and critical elements related to data quality and timeliness of collection and describe the techno-socio challenges encountered and solutions implemented.&aacute;The presentation will illustrate how informatics can be useful for&aacute;enhancing the use of&aacute;the data collected through RAI/MDS for decision-making, by describing how data is processed and resulting information disseminated.&aacute;The presentation will describe the benefits of utilizing a web-based reporting tool to organize and analyze evidence-based integrated data and create customized reports, and will also describe how individuals, teams, and the organization use these reports for decision-making and to&aacute;realize the benefits for collecting RAI/MDS data&aacute;to enable&aacute;&aacute;best practice.&aacute;Summary:&aacute;The success of the project was achieved through integration of evidence based practice, transdisciplinary team effort and organizational ongoing support for technological changes that were required for RAI implementation.</td></tr></table>en_GB
dc.date.available2011-10-26T10:58:44Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T10:58:44Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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