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The Clinical Decision Support System for the Snake Envenomation in Thailand

机译:泰国蛇envenomation的临床决策支持系统

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With the rises of the AI technology in Healthcare, researchers have been using the technology to develop a computational system to aid diagnosis, commonly known as 'Clinical Decision Support Systems (CDSSs)'. The CDSS applications currently available are usually neither free, nor optimized for treating Thai patients. In this work, we propose a new CDSS platform intended as an open platform for the CDSS application in Thailand. As a prototype and proof of concept, we developed the Mahidol Snake Envenomation Support System (MSESS), as the first CDSS application using our new p latform. MSESS was designed to help its user formulate a treatment plan for the patient with snake bite found in Thailand, particularly in rural areas, and guide the user through the treatment flow. The treatments suggested by MSESS strictly follows the Snake Envenomation guideline provided by the Ramathibodi Poison Center. The targeted user is the medical personnel such as general practitioner seeking a medical advice from specialists. The medical personnel will first enter the patient information to the CDSS. The system will then retrieve the information, submit it to the inference engine unit hosted at our central computing facilities, and display the suggested actions to the medical personnel via our application. We discuss our lesson learn from the development of MSESS for the future development of CDSS applications on our platform.
机译:随着医疗保健的AI技术升起,研究人员一直在利用该技术开发计算系统,以帮助诊断,通常称为“临床决策支持系统(CDSSS)”。目前可用的CDSS应用通常既不是自由的,也没有优化用于治疗泰国患者。在这项工作中,我们提出了一个新的CDSS平台,旨在作为泰国CDS应用的开放平台。作为概念的原型和证据,我们开发了Mahidol Snake Envenomation支持系统(MSESS),作为第一个使用我们新的P Latform的CDS应用程序。 Msess旨在帮助其用户制定泰国发现的蛇咬的患者的治疗计划,特别是在农村地区,并通过治疗流程引导用户。 MSESS建议的治疗严格遵循Ramathibodi毒物中心提供的Snake Envenomation指南。目标用户是医务人员,如普通从业者寻求专家的医疗建议。医务人员将首先向CDS输入患者信息。然后,系统将检索信息,将其提交给在我们的中央计算设施托管的推理引擎单元中,并通过我们的应用向医务人员展示建议的动作。我们讨论我们的课程从MSESS的开发中学习,以便在我们的平台上进行CDSS应用的未来发展。

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