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E-DIP: Early Discharge Project. A Model for Throughput and Early Discharge for 1-Day Admissions
Short stay admissions that are outside of observation unit models hold challenges for throughput and decreasing length of stay (LOS). In our institution at Mount Sinai Hospital in New York City, United States, we noticed a lack of communication about potential next-day discharges from the day and ni...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
British Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916624/ https://www.ncbi.nlm.nih.gov/pubmed/27335649 http://dx.doi.org/10.1136/bmjquality.u210035.w4128 |
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author | Cho, Hyung J Desai, Neil Florendo, Angelita Marshall, Christine Michalski, Jaime Lee, Nathan Dunn, Andrew |
author_facet | Cho, Hyung J Desai, Neil Florendo, Angelita Marshall, Christine Michalski, Jaime Lee, Nathan Dunn, Andrew |
author_sort | Cho, Hyung J |
collection | PubMed |
description | Short stay admissions that are outside of observation unit models hold challenges for throughput and decreasing length of stay (LOS). In our institution at Mount Sinai Hospital in New York City, United States, we noticed a lack of communication about potential next-day discharges from the day and night admission teams to the inpatient teams. Our hospitalist division started the Early Discharge Initiation Project (E-DIP), a system of flagging and communicating potential discharges to improve this problem. We used a multidisciplinary approach with PDSA cycles, engaging members of all teams involved in this process, including the nocturnists. We utilized a paper list, an EHR notification order, and email communication to relay potential next-day discharges. We created an awareness and educational campaign to reinforce the process and its importance. We then used a text paging system to remind the inpatient teams for early discharge. After the initiation of E-DIP, the average number of 1-day admissions per day increased from 0.9 to 1.6 (78% increase). Percentage of discharge orders before 11AM increased from 28% to 42%. Mean discharge time improved to 28 minutes earlier. E-DIP was successful in increasing 1-day admissions and mean discharge times. |
format | Online Article Text |
id | pubmed-4916624 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | British Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49166242016-06-22 E-DIP: Early Discharge Project. A Model for Throughput and Early Discharge for 1-Day Admissions Cho, Hyung J Desai, Neil Florendo, Angelita Marshall, Christine Michalski, Jaime Lee, Nathan Dunn, Andrew BMJ Qual Improv Rep BMJ Quality Improvement Programme Short stay admissions that are outside of observation unit models hold challenges for throughput and decreasing length of stay (LOS). In our institution at Mount Sinai Hospital in New York City, United States, we noticed a lack of communication about potential next-day discharges from the day and night admission teams to the inpatient teams. Our hospitalist division started the Early Discharge Initiation Project (E-DIP), a system of flagging and communicating potential discharges to improve this problem. We used a multidisciplinary approach with PDSA cycles, engaging members of all teams involved in this process, including the nocturnists. We utilized a paper list, an EHR notification order, and email communication to relay potential next-day discharges. We created an awareness and educational campaign to reinforce the process and its importance. We then used a text paging system to remind the inpatient teams for early discharge. After the initiation of E-DIP, the average number of 1-day admissions per day increased from 0.9 to 1.6 (78% increase). Percentage of discharge orders before 11AM increased from 28% to 42%. Mean discharge time improved to 28 minutes earlier. E-DIP was successful in increasing 1-day admissions and mean discharge times. British Publishing Group 2016-06-17 /pmc/articles/PMC4916624/ /pubmed/27335649 http://dx.doi.org/10.1136/bmjquality.u210035.w4128 Text en © 2016, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/http://creativecommons.org/licenses/by-nc/2.0/legalcode |
spellingShingle | BMJ Quality Improvement Programme Cho, Hyung J Desai, Neil Florendo, Angelita Marshall, Christine Michalski, Jaime Lee, Nathan Dunn, Andrew E-DIP: Early Discharge Project. A Model for Throughput and Early Discharge for 1-Day Admissions |
title | E-DIP: Early Discharge Project. A Model for Throughput and Early Discharge for 1-Day Admissions |
title_full | E-DIP: Early Discharge Project. A Model for Throughput and Early Discharge for 1-Day Admissions |
title_fullStr | E-DIP: Early Discharge Project. A Model for Throughput and Early Discharge for 1-Day Admissions |
title_full_unstemmed | E-DIP: Early Discharge Project. A Model for Throughput and Early Discharge for 1-Day Admissions |
title_short | E-DIP: Early Discharge Project. A Model for Throughput and Early Discharge for 1-Day Admissions |
title_sort | e-dip: early discharge project. a model for throughput and early discharge for 1-day admissions |
topic | BMJ Quality Improvement Programme |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4916624/ https://www.ncbi.nlm.nih.gov/pubmed/27335649 http://dx.doi.org/10.1136/bmjquality.u210035.w4128 |
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