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Development and implementation of a Telenephrology dashboard for active surveillance of kidney disease: a quality improvement project
BACKGROUND: Kidney disease accounts for more than 49 billion dollars in healthcare expenditures annually. Early detection and intervention may reduce the burden of disease. We describe a quality improvement project to develop a telenephrology dashboard that proactively monitors kidney disease. METHO...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539521/ https://www.ncbi.nlm.nih.gov/pubmed/33023489 http://dx.doi.org/10.1186/s12882-020-02077-0 |
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author | Swee, Melissa L. Sanders, M. Lee Phisitkul, Kantima Bailey, George Thumann, Angie Neuzil, Nikki Kumar, Bharat O’Shea, Amy M. J. Dixon, Bradley S. |
author_facet | Swee, Melissa L. Sanders, M. Lee Phisitkul, Kantima Bailey, George Thumann, Angie Neuzil, Nikki Kumar, Bharat O’Shea, Amy M. J. Dixon, Bradley S. |
author_sort | Swee, Melissa L. |
collection | PubMed |
description | BACKGROUND: Kidney disease accounts for more than 49 billion dollars in healthcare expenditures annually. Early detection and intervention may reduce the burden of disease. We describe a quality improvement project to develop a telenephrology dashboard that proactively monitors kidney disease. METHODS: One hundred eighty-four thousands Veterans within the Iowa City Veterans Affairs Health Care System were eligible for telenephrology consultation. The dashboard accessed the charts of 53,085 Veterans at risk for kidney disease. We utilized Lean-Six Sigma tools and principles and the Define-Measure-Analyze-Improve-Control Framework to develop and deploy a telenephrology dashboard in 4 community-based outpatient clinics (CBOCs). The primary measure was the number of days to complete consultation. Secondary measures included number of electronic consultations per month, distance and cost of Veteran travel saved, and number of steps for completion of consult. RESULTS: The data of 1384 Veterans at the 4 CBOCs were analyzed by the telenephrology dashboard, of which 459 generated telenephrology consults. The number of days to complete any type of consultation was unchanged (48.9 days in 2019, compared to 41.6 days in 2017). The average Veteran saved between $21.60 to $63.90 per trip to Iowa City. Between March 2019 and August 2019, there were 27.3 telenephrology consults per month. The number of steps needed to complete the consult request was decreased from 13 to 9. CONCLUSIONS: Utilization of the telenephrology dashboard system contributed to an increase in consultations completed through electronic means without decreasing face-to-face consults. Electronic consults now outnumber traditional face-to-face consultations at our institution. Telenephrology consultation improved early detection and identification of kidney disease and saved time and costs for Veterans in travel, but did not decrease the average number of days to complete consultation requests. |
format | Online Article Text |
id | pubmed-7539521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75395212020-10-08 Development and implementation of a Telenephrology dashboard for active surveillance of kidney disease: a quality improvement project Swee, Melissa L. Sanders, M. Lee Phisitkul, Kantima Bailey, George Thumann, Angie Neuzil, Nikki Kumar, Bharat O’Shea, Amy M. J. Dixon, Bradley S. BMC Nephrol Research Article BACKGROUND: Kidney disease accounts for more than 49 billion dollars in healthcare expenditures annually. Early detection and intervention may reduce the burden of disease. We describe a quality improvement project to develop a telenephrology dashboard that proactively monitors kidney disease. METHODS: One hundred eighty-four thousands Veterans within the Iowa City Veterans Affairs Health Care System were eligible for telenephrology consultation. The dashboard accessed the charts of 53,085 Veterans at risk for kidney disease. We utilized Lean-Six Sigma tools and principles and the Define-Measure-Analyze-Improve-Control Framework to develop and deploy a telenephrology dashboard in 4 community-based outpatient clinics (CBOCs). The primary measure was the number of days to complete consultation. Secondary measures included number of electronic consultations per month, distance and cost of Veteran travel saved, and number of steps for completion of consult. RESULTS: The data of 1384 Veterans at the 4 CBOCs were analyzed by the telenephrology dashboard, of which 459 generated telenephrology consults. The number of days to complete any type of consultation was unchanged (48.9 days in 2019, compared to 41.6 days in 2017). The average Veteran saved between $21.60 to $63.90 per trip to Iowa City. Between March 2019 and August 2019, there were 27.3 telenephrology consults per month. The number of steps needed to complete the consult request was decreased from 13 to 9. CONCLUSIONS: Utilization of the telenephrology dashboard system contributed to an increase in consultations completed through electronic means without decreasing face-to-face consults. Electronic consults now outnumber traditional face-to-face consultations at our institution. Telenephrology consultation improved early detection and identification of kidney disease and saved time and costs for Veterans in travel, but did not decrease the average number of days to complete consultation requests. BioMed Central 2020-10-06 /pmc/articles/PMC7539521/ /pubmed/33023489 http://dx.doi.org/10.1186/s12882-020-02077-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Swee, Melissa L. Sanders, M. Lee Phisitkul, Kantima Bailey, George Thumann, Angie Neuzil, Nikki Kumar, Bharat O’Shea, Amy M. J. Dixon, Bradley S. Development and implementation of a Telenephrology dashboard for active surveillance of kidney disease: a quality improvement project |
title | Development and implementation of a Telenephrology dashboard for active surveillance of kidney disease: a quality improvement project |
title_full | Development and implementation of a Telenephrology dashboard for active surveillance of kidney disease: a quality improvement project |
title_fullStr | Development and implementation of a Telenephrology dashboard for active surveillance of kidney disease: a quality improvement project |
title_full_unstemmed | Development and implementation of a Telenephrology dashboard for active surveillance of kidney disease: a quality improvement project |
title_short | Development and implementation of a Telenephrology dashboard for active surveillance of kidney disease: a quality improvement project |
title_sort | development and implementation of a telenephrology dashboard for active surveillance of kidney disease: a quality improvement project |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539521/ https://www.ncbi.nlm.nih.gov/pubmed/33023489 http://dx.doi.org/10.1186/s12882-020-02077-0 |
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