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SAT133 A Case Study Of UX/UI Design Diabetes Medication Discharge Orderset: An Initiative To Reduce Discharge Prescribing Error

Disclosure: E. Yunasan: None. J. Park: None. R. Reddy: None. M. Pennant: None. Prescribing errors involving diabetes medications on discharge are common. The complexity of prescribing insulin, especially due to multiple insulin preparations and supplies contributes to these errors. For example, In o...

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Autores principales: Yunasan, Elvina, Park, Jeayoung, Reddy, Rashmi, Pennant, Marjorie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10554761/
http://dx.doi.org/10.1210/jendso/bvad114.998
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author Yunasan, Elvina
Park, Jeayoung
Reddy, Rashmi
Pennant, Marjorie
author_facet Yunasan, Elvina
Park, Jeayoung
Reddy, Rashmi
Pennant, Marjorie
author_sort Yunasan, Elvina
collection PubMed
description Disclosure: E. Yunasan: None. J. Park: None. R. Reddy: None. M. Pennant: None. Prescribing errors involving diabetes medications on discharge are common. The complexity of prescribing insulin, especially due to multiple insulin preparations and supplies contributes to these errors. For example, In our teaching hospital between 01/2021-06/2021, among 40 patients with diabetes mellitus (DM) that were discharged home with insulin, 22 patients (55 %) were discharged without or with incorrect insulin supplies. Well-designed order -set has the potential to reduce the potential of medication errors. Here we present a case study of utilizing FIGMA prototyping software to design a new insulin discharge order set. FIGMA is a web-based user interface design tool, that enables multiple parties to collaborate and work on user experience (UX) and User Interface (UI) prototyping. The aim of this case study is to explore design considerations using FIGMA software for establishing a patient-centered, and user-friendly insulin discharge order set involving multiple stakeholders in the hospital including residents, diabetes educators, attendings, pharmacists, and endocrinologists. We conducted multiple prototyping sessions using FIGMA software. Each participant is able to work simultaneously on the discharge order set together in real-time. The prototyping sessions result in a new discharge order set, which focused on simplicity and provider efficiency in the hope to reduce prescribing errors. Here we outline the advancement in order set design. The previous order set presents 20 different types of insulin pens/syringes that are listed together with a blood glucose meter, testing strips, lancets, alcohol pads, and a lancet device. After that, providers have to manually enter the order for insulin separately. In the new order set, providers will only see 2 options, “Patient uses insulin pen”, and “Patient uses vial and syringe”. When providers choose, “Patient uses insulin pen”, the new order set would automatically pre-selected the options for insulin pen, pen needle, glucometer, testing strips, lancets, and alcohol swabs. Testing supplies options come with default instructions and prefilled quantities. Options for endocrinology, diabetes educator and transitional care referrals are also automatically pre-selected. Additional orders such as metformin, GLP-1 agonist, and SGLT-2 inhibitors are presented as options. Alternatively, if providers choose the insulin syringe option, the order set would look similar, except the order set would present pre-selected options for insulin vials that are already linked with the correct syringe size. In conclusion, creating an insulin discharge order set using FIGMA is a great way to collaborate with multiple stakeholders. This platform can also be potentially utilized in developing other order sets. Presentation: Saturday, June 17, 2023
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spelling pubmed-105547612023-10-06 SAT133 A Case Study Of UX/UI Design Diabetes Medication Discharge Orderset: An Initiative To Reduce Discharge Prescribing Error Yunasan, Elvina Park, Jeayoung Reddy, Rashmi Pennant, Marjorie J Endocr Soc Diabetes And Glucose Metabolism Disclosure: E. Yunasan: None. J. Park: None. R. Reddy: None. M. Pennant: None. Prescribing errors involving diabetes medications on discharge are common. The complexity of prescribing insulin, especially due to multiple insulin preparations and supplies contributes to these errors. For example, In our teaching hospital between 01/2021-06/2021, among 40 patients with diabetes mellitus (DM) that were discharged home with insulin, 22 patients (55 %) were discharged without or with incorrect insulin supplies. Well-designed order -set has the potential to reduce the potential of medication errors. Here we present a case study of utilizing FIGMA prototyping software to design a new insulin discharge order set. FIGMA is a web-based user interface design tool, that enables multiple parties to collaborate and work on user experience (UX) and User Interface (UI) prototyping. The aim of this case study is to explore design considerations using FIGMA software for establishing a patient-centered, and user-friendly insulin discharge order set involving multiple stakeholders in the hospital including residents, diabetes educators, attendings, pharmacists, and endocrinologists. We conducted multiple prototyping sessions using FIGMA software. Each participant is able to work simultaneously on the discharge order set together in real-time. The prototyping sessions result in a new discharge order set, which focused on simplicity and provider efficiency in the hope to reduce prescribing errors. Here we outline the advancement in order set design. The previous order set presents 20 different types of insulin pens/syringes that are listed together with a blood glucose meter, testing strips, lancets, alcohol pads, and a lancet device. After that, providers have to manually enter the order for insulin separately. In the new order set, providers will only see 2 options, “Patient uses insulin pen”, and “Patient uses vial and syringe”. When providers choose, “Patient uses insulin pen”, the new order set would automatically pre-selected the options for insulin pen, pen needle, glucometer, testing strips, lancets, and alcohol swabs. Testing supplies options come with default instructions and prefilled quantities. Options for endocrinology, diabetes educator and transitional care referrals are also automatically pre-selected. Additional orders such as metformin, GLP-1 agonist, and SGLT-2 inhibitors are presented as options. Alternatively, if providers choose the insulin syringe option, the order set would look similar, except the order set would present pre-selected options for insulin vials that are already linked with the correct syringe size. In conclusion, creating an insulin discharge order set using FIGMA is a great way to collaborate with multiple stakeholders. This platform can also be potentially utilized in developing other order sets. Presentation: Saturday, June 17, 2023 Oxford University Press 2023-10-05 /pmc/articles/PMC10554761/ http://dx.doi.org/10.1210/jendso/bvad114.998 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Diabetes And Glucose Metabolism
Yunasan, Elvina
Park, Jeayoung
Reddy, Rashmi
Pennant, Marjorie
SAT133 A Case Study Of UX/UI Design Diabetes Medication Discharge Orderset: An Initiative To Reduce Discharge Prescribing Error
title SAT133 A Case Study Of UX/UI Design Diabetes Medication Discharge Orderset: An Initiative To Reduce Discharge Prescribing Error
title_full SAT133 A Case Study Of UX/UI Design Diabetes Medication Discharge Orderset: An Initiative To Reduce Discharge Prescribing Error
title_fullStr SAT133 A Case Study Of UX/UI Design Diabetes Medication Discharge Orderset: An Initiative To Reduce Discharge Prescribing Error
title_full_unstemmed SAT133 A Case Study Of UX/UI Design Diabetes Medication Discharge Orderset: An Initiative To Reduce Discharge Prescribing Error
title_short SAT133 A Case Study Of UX/UI Design Diabetes Medication Discharge Orderset: An Initiative To Reduce Discharge Prescribing Error
title_sort sat133 a case study of ux/ui design diabetes medication discharge orderset: an initiative to reduce discharge prescribing error
topic Diabetes And Glucose Metabolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10554761/
http://dx.doi.org/10.1210/jendso/bvad114.998
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