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Modeling return on investment for an electronic medical record system in Lilongwe, Malawi

OBJECTIVE: To model the financial effects of implementing a hospital-wide electronic medical record (EMR) system in a tertiary facility in Malawi. MATERIALS AND METHODS: We evaluated three areas of impact: length of stay, transcription time, and laboratory use. We collected data on expenditures in t...

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Autores principales: Driessen, Julia, Cioffi, Marco, Alide, Noor, Landis-Lewis, Zach, Gamadzi, Gervase, Gadabu, Oliver Jintha, Douglas, Gerald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3721156/
https://www.ncbi.nlm.nih.gov/pubmed/23144335
http://dx.doi.org/10.1136/amiajnl-2012-001242
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author Driessen, Julia
Cioffi, Marco
Alide, Noor
Landis-Lewis, Zach
Gamadzi, Gervase
Gadabu, Oliver Jintha
Douglas, Gerald
author_facet Driessen, Julia
Cioffi, Marco
Alide, Noor
Landis-Lewis, Zach
Gamadzi, Gervase
Gadabu, Oliver Jintha
Douglas, Gerald
author_sort Driessen, Julia
collection PubMed
description OBJECTIVE: To model the financial effects of implementing a hospital-wide electronic medical record (EMR) system in a tertiary facility in Malawi. MATERIALS AND METHODS: We evaluated three areas of impact: length of stay, transcription time, and laboratory use. We collected data on expenditures in these categories under the paper-based (pre-EMR) system, and then estimated reductions in each category based on findings from EMR systems in the USA and backed by ambulatory data from low-income settings. We compared these potential savings accrued over a period of 5 years with the costs of implementing the touchscreen point-of-care EMR system at that site. RESULTS: Estimated cost savings in length of stay, transcription time, and laboratory use totaled US$284 395 annually. When compared with the costs of installing and sustaining the EMR system, there is a net financial gain by the third year of operation. Over 5 years the estimated net benefit was US$613 681. DISCUSSION: Despite considering only three categories of savings, this analysis demonstrates the potential financial benefits of EMR systems in low-income settings. The results are robust to higher discount rates, and a net benefit is realized even under more conservative assumptions. CONCLUSIONS: This model demonstrates that financial benefits could be realized with an EMR system in a low-income setting. Further studies will examine these and other categories in greater detail, study the financial effects at different levels of organization, and benefit from post-implementation data. This model will be further improved by substituting its assumptions for evidence as we conduct more detailed studies.
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spelling pubmed-37211562013-12-11 Modeling return on investment for an electronic medical record system in Lilongwe, Malawi Driessen, Julia Cioffi, Marco Alide, Noor Landis-Lewis, Zach Gamadzi, Gervase Gadabu, Oliver Jintha Douglas, Gerald J Am Med Inform Assoc Focus on Human Factors and System Utilization OBJECTIVE: To model the financial effects of implementing a hospital-wide electronic medical record (EMR) system in a tertiary facility in Malawi. MATERIALS AND METHODS: We evaluated three areas of impact: length of stay, transcription time, and laboratory use. We collected data on expenditures in these categories under the paper-based (pre-EMR) system, and then estimated reductions in each category based on findings from EMR systems in the USA and backed by ambulatory data from low-income settings. We compared these potential savings accrued over a period of 5 years with the costs of implementing the touchscreen point-of-care EMR system at that site. RESULTS: Estimated cost savings in length of stay, transcription time, and laboratory use totaled US$284 395 annually. When compared with the costs of installing and sustaining the EMR system, there is a net financial gain by the third year of operation. Over 5 years the estimated net benefit was US$613 681. DISCUSSION: Despite considering only three categories of savings, this analysis demonstrates the potential financial benefits of EMR systems in low-income settings. The results are robust to higher discount rates, and a net benefit is realized even under more conservative assumptions. CONCLUSIONS: This model demonstrates that financial benefits could be realized with an EMR system in a low-income setting. Further studies will examine these and other categories in greater detail, study the financial effects at different levels of organization, and benefit from post-implementation data. This model will be further improved by substituting its assumptions for evidence as we conduct more detailed studies. BMJ Publishing Group 2013-07 2012-11-09 /pmc/articles/PMC3721156/ /pubmed/23144335 http://dx.doi.org/10.1136/amiajnl-2012-001242 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Focus on Human Factors and System Utilization
Driessen, Julia
Cioffi, Marco
Alide, Noor
Landis-Lewis, Zach
Gamadzi, Gervase
Gadabu, Oliver Jintha
Douglas, Gerald
Modeling return on investment for an electronic medical record system in Lilongwe, Malawi
title Modeling return on investment for an electronic medical record system in Lilongwe, Malawi
title_full Modeling return on investment for an electronic medical record system in Lilongwe, Malawi
title_fullStr Modeling return on investment for an electronic medical record system in Lilongwe, Malawi
title_full_unstemmed Modeling return on investment for an electronic medical record system in Lilongwe, Malawi
title_short Modeling return on investment for an electronic medical record system in Lilongwe, Malawi
title_sort modeling return on investment for an electronic medical record system in lilongwe, malawi
topic Focus on Human Factors and System Utilization
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3721156/
https://www.ncbi.nlm.nih.gov/pubmed/23144335
http://dx.doi.org/10.1136/amiajnl-2012-001242
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