William Gordon , Maria Aguad , Layne Ainsworth , Samuel Aronson , Jane Baronas , Edward Comeau , Rory De La Paz , Justin B.L. Halls , Vincent T. Ho , Michael Oates , Adam Landman , Wen Lu , Shawn N. Murphy , Fei Wang , Indira Guleria , Sean R. Stowell , Melissa Y. Yeung , Edgar L. Milford , Richard M. Kaufman , William J. Lane
{"title":"改进血小板输注工作流程的标准化应用。","authors":"William Gordon , Maria Aguad , Layne Ainsworth , Samuel Aronson , Jane Baronas , Edward Comeau , Rory De La Paz , Justin B.L. Halls , Vincent T. Ho , Michael Oates , Adam Landman , Wen Lu , Shawn N. Murphy , Fei Wang , Indira Guleria , Sean R. Stowell , Melissa Y. Yeung , Edgar L. Milford , Richard M. Kaufman , William J. Lane","doi":"10.1016/j.jpi.2024.100412","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>Thrombocytopenia is a common complication of hematopoietic stem-cell transplantation (HSCT), though many patients will become immune refractory to platelet transfusions over time. We built and evaluated an electronic health record (EHR)-integrated, standards-based application that enables blood-bank clinicians to match platelet inventory with patients using data previously not available at the point-of-care, like human leukocyte antigen (HLA) data for donors and recipients.</div></div><div><h3>Materials and methods</h3><div>The web-based application launches as an EHR-embedded application or as a standalone application. The application coalesces disparate data streams into a unified view, including platelet count, HLA data, demographics, and real-time inventory. We looked at application usage over time and developed a multivariable logistic regression model to compute odds ratios that a patient undergoing HSCT would have a complicated thrombocytopenia course, with several model covariates including pre-/post-application deployment.</div></div><div><h3>Results</h3><div>Usage of the application has been consistent since launch, with a slight dip during the first COVID wave. Our model, which included 376 patients in the final analysis, did not demonstrate a significantly decreased odds that a patient would have a complicated thrombocytopenia course after application deployment as compared to before application deployment.</div></div><div><h3>Discussion</h3><div>We built an EHR-integrated application to improve platelet transfusion processes. Whereas our model did not demonstrate decreased odds of a patient having a complicated thrombocytopenia course, there are other workflow and clinical benefits that will benefit from future evaluation.</div></div><div><h3>Conclusion</h3><div>A web-based, EHR-integrated application was built and integrated into our EHR system and is now part of the standard operating procedures of our blood bank.</div></div>","PeriodicalId":37769,"journal":{"name":"Journal of Pathology Informatics","volume":"16 ","pages":"Article 100412"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721207/pdf/","citationCount":"0","resultStr":"{\"title\":\"A standards-based application for improving platelet transfusion workflow\",\"authors\":\"William Gordon , Maria Aguad , Layne Ainsworth , Samuel Aronson , Jane Baronas , Edward Comeau , Rory De La Paz , Justin B.L. Halls , Vincent T. Ho , Michael Oates , Adam Landman , Wen Lu , Shawn N. Murphy , Fei Wang , Indira Guleria , Sean R. Stowell , Melissa Y. Yeung , Edgar L. Milford , Richard M. Kaufman , William J. Lane\",\"doi\":\"10.1016/j.jpi.2024.100412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>Thrombocytopenia is a common complication of hematopoietic stem-cell transplantation (HSCT), though many patients will become immune refractory to platelet transfusions over time. We built and evaluated an electronic health record (EHR)-integrated, standards-based application that enables blood-bank clinicians to match platelet inventory with patients using data previously not available at the point-of-care, like human leukocyte antigen (HLA) data for donors and recipients.</div></div><div><h3>Materials and methods</h3><div>The web-based application launches as an EHR-embedded application or as a standalone application. The application coalesces disparate data streams into a unified view, including platelet count, HLA data, demographics, and real-time inventory. We looked at application usage over time and developed a multivariable logistic regression model to compute odds ratios that a patient undergoing HSCT would have a complicated thrombocytopenia course, with several model covariates including pre-/post-application deployment.</div></div><div><h3>Results</h3><div>Usage of the application has been consistent since launch, with a slight dip during the first COVID wave. Our model, which included 376 patients in the final analysis, did not demonstrate a significantly decreased odds that a patient would have a complicated thrombocytopenia course after application deployment as compared to before application deployment.</div></div><div><h3>Discussion</h3><div>We built an EHR-integrated application to improve platelet transfusion processes. Whereas our model did not demonstrate decreased odds of a patient having a complicated thrombocytopenia course, there are other workflow and clinical benefits that will benefit from future evaluation.</div></div><div><h3>Conclusion</h3><div>A web-based, EHR-integrated application was built and integrated into our EHR system and is now part of the standard operating procedures of our blood bank.</div></div>\",\"PeriodicalId\":37769,\"journal\":{\"name\":\"Journal of Pathology Informatics\",\"volume\":\"16 \",\"pages\":\"Article 100412\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721207/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Pathology Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2153353924000518\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pathology Informatics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2153353924000518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
A standards-based application for improving platelet transfusion workflow
Objective
Thrombocytopenia is a common complication of hematopoietic stem-cell transplantation (HSCT), though many patients will become immune refractory to platelet transfusions over time. We built and evaluated an electronic health record (EHR)-integrated, standards-based application that enables blood-bank clinicians to match platelet inventory with patients using data previously not available at the point-of-care, like human leukocyte antigen (HLA) data for donors and recipients.
Materials and methods
The web-based application launches as an EHR-embedded application or as a standalone application. The application coalesces disparate data streams into a unified view, including platelet count, HLA data, demographics, and real-time inventory. We looked at application usage over time and developed a multivariable logistic regression model to compute odds ratios that a patient undergoing HSCT would have a complicated thrombocytopenia course, with several model covariates including pre-/post-application deployment.
Results
Usage of the application has been consistent since launch, with a slight dip during the first COVID wave. Our model, which included 376 patients in the final analysis, did not demonstrate a significantly decreased odds that a patient would have a complicated thrombocytopenia course after application deployment as compared to before application deployment.
Discussion
We built an EHR-integrated application to improve platelet transfusion processes. Whereas our model did not demonstrate decreased odds of a patient having a complicated thrombocytopenia course, there are other workflow and clinical benefits that will benefit from future evaluation.
Conclusion
A web-based, EHR-integrated application was built and integrated into our EHR system and is now part of the standard operating procedures of our blood bank.
期刊介绍:
The Journal of Pathology Informatics (JPI) is an open access peer-reviewed journal dedicated to the advancement of pathology informatics. This is the official journal of the Association for Pathology Informatics (API). The journal aims to publish broadly about pathology informatics and freely disseminate all articles worldwide. This journal is of interest to pathologists, informaticians, academics, researchers, health IT specialists, information officers, IT staff, vendors, and anyone with an interest in informatics. We encourage submissions from anyone with an interest in the field of pathology informatics. We publish all types of papers related to pathology informatics including original research articles, technical notes, reviews, viewpoints, commentaries, editorials, symposia, meeting abstracts, book reviews, and correspondence to the editors. All submissions are subject to rigorous peer review by the well-regarded editorial board and by expert referees in appropriate specialties.