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A clinical decision support system for the treatment of common toxin overdose.

机译:用于治疗常见毒素过量的临床决策支持系统。

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摘要

Poisonings account for 0.8% of emergency room visits each year. Our review of current toxicological resources revealed a gap in their ability to provide expedient calculations and recommendations, as they are broad in scope and time-consuming to read. Time is crucial in a toxicologic emergency. Delay in first dose can lead to life-threatening sequelae.;To bridge the gap, we developed the Antidote Application (AA), a computational system that automatically provides patient-specific antidote treatment recommendation(s) and individualized dose calculation(s). We implemented 27 algorithms that describe FDA approved use and evidence-based practices found in primary literature for the treatment of common toxin exposure. The AA covers 29 antidotes recommended by Poison Control and toxicology experts, 31 toxins from 19 toxin classes, and over 200 toxic entities. We implemented the AA in two formats: a standalone downloadable application for offline use and an online web application. The AA represents a unique educational resource for the study of toxicology with the potential of being adopted for point of care decision support. The system also provides guidance for reporting toxic exposures regionally and nationally as required by accrediting bodies and some states. The AA system has the potential for reducing initial dose delays and medication errors. To the best of our knowledge, the AA is the first educational and decision support system in toxicology that provides patient-specific treatment recommendations and drug dose calculations. The downloadable and online Antidote Applications are publically available at http://www.met-hilab.org/files/antidote/antidote_application.jar and http://projects.met-hilab.org/antidote/ respectively.
机译:每年中毒事件占急诊室就诊人数的0.8%。我们对当前毒理学资源的审查显示,由于它们的范围广且阅读时间长,因此它们提供方便的计算和建议的能力存在差距。时间对于毒理学紧急情况至关重要。首次剂量的延迟可能导致危及生命的后遗症。为了弥合差距,我们开发了解毒剂应用程序(AA),该计算系统可自动提供针对患者的解毒剂治疗建议和个性化剂量计算。我们实施了27种算法,这些算法描述了FDA批准的使用方法和在主要文献中发现的用于处理常见毒素的循证实践。 AA涵盖了毒物控制和毒理学专家推荐的29种解毒剂,19种毒素类别的31种毒素和200多种毒性实体。我们以两种格式实现了AA:一种供离线使用的独立下载应用程序,一种是在线Web应用程序。 AA是毒理学研究的独特教育资源,有可能被用于护理点决策支持。该系统还提供了根据认证机构和某些州的要求在区域和全国范围内报告有毒物质暴露的指南。 AA系统具有减少初始剂量延迟和用药错误的潜力。据我们所知,AA是毒理学中的第一个教育和决策支持系统,可提供针对患者的治疗建议和药物剂量计算。可下载和在线的解毒剂应用程序分别在http://www.met-hilab.org/files/antidote/antidote_application.jar和http://projects.met-hilab.org/antidote/上公开可用。

著录项

  • 作者

    Long, Jon Brantley.;

  • 作者单位

    Boston University.;

  • 授予单位 Boston University.;
  • 学科 Information technology.;Computer science.;Health care management.;Toxicology.
  • 学位 M.S.
  • 年度 2015
  • 页码 181 p.
  • 总页数 181
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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