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Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report
To demonstrate a process of calculating the maximum potential morphine milligram equivalent daily dose (MEDD) based on the prescription Sig for use in quality improvement initiatives. To calculate an opioid prescription’s maximum potential Sig-MEDD, we developed SQL code to determine a prescription’...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824516/ https://www.ncbi.nlm.nih.gov/pubmed/31709387 http://dx.doi.org/10.1093/jamiaopen/ooz018 |
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author | Goud, Anil Kiefer, Elizabeth Keller, Michelle S Truong, Lyna SooHoo, Spencer Riggs, Richard V |
author_facet | Goud, Anil Kiefer, Elizabeth Keller, Michelle S Truong, Lyna SooHoo, Spencer Riggs, Richard V |
author_sort | Goud, Anil |
collection | PubMed |
description | To demonstrate a process of calculating the maximum potential morphine milligram equivalent daily dose (MEDD) based on the prescription Sig for use in quality improvement initiatives. To calculate an opioid prescription’s maximum potential Sig-MEDD, we developed SQL code to determine a prescription’s maximum units/day using discrete field data and text-parsing in the prescription instructions. We validated the derived units/day calculation using 3000 Sigs, then compared the Sig-MEDD calculation against the Epic-MEDD calculator. Of the 101 782 outpatient opioid prescriptions ordered over 1 year, 80% used discrete-field Sigs, 7% used free-text Sigs, and 3% used both types. We determined units/day and calculated a Sig-MEDD for 98.3% of all the prescriptions, 99.99% of discrete-Sig prescriptions, and 81.5% of free-text-Sig prescriptions. Analyzing opioid prescription Sigs to determine a maximum potential Sig-MEDD provides greater insight into a patient’s risk for opioid exposure. |
format | Online Article Text |
id | pubmed-6824516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68245162019-11-06 Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report Goud, Anil Kiefer, Elizabeth Keller, Michelle S Truong, Lyna SooHoo, Spencer Riggs, Richard V JAMIA Open Brief Communications To demonstrate a process of calculating the maximum potential morphine milligram equivalent daily dose (MEDD) based on the prescription Sig for use in quality improvement initiatives. To calculate an opioid prescription’s maximum potential Sig-MEDD, we developed SQL code to determine a prescription’s maximum units/day using discrete field data and text-parsing in the prescription instructions. We validated the derived units/day calculation using 3000 Sigs, then compared the Sig-MEDD calculation against the Epic-MEDD calculator. Of the 101 782 outpatient opioid prescriptions ordered over 1 year, 80% used discrete-field Sigs, 7% used free-text Sigs, and 3% used both types. We determined units/day and calculated a Sig-MEDD for 98.3% of all the prescriptions, 99.99% of discrete-Sig prescriptions, and 81.5% of free-text-Sig prescriptions. Analyzing opioid prescription Sigs to determine a maximum potential Sig-MEDD provides greater insight into a patient’s risk for opioid exposure. Oxford University Press 2019-05-27 /pmc/articles/PMC6824516/ /pubmed/31709387 http://dx.doi.org/10.1093/jamiaopen/ooz018 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Brief Communications Goud, Anil Kiefer, Elizabeth Keller, Michelle S Truong, Lyna SooHoo, Spencer Riggs, Richard V Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report |
title | Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report |
title_full | Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report |
title_fullStr | Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report |
title_full_unstemmed | Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report |
title_short | Calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report |
title_sort | calculating maximum morphine equivalent daily dose from prescription directions for use in the electronic health record: a case report |
topic | Brief Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824516/ https://www.ncbi.nlm.nih.gov/pubmed/31709387 http://dx.doi.org/10.1093/jamiaopen/ooz018 |
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