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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2013
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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. |
format | Online Article Text |
id | pubmed-3721156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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