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Innovations in Data-Driven Approaches to Improve Sepsis Care for Children in Low-Resource Settings (presentations) ~ QI

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DataONE2022-11-16 更新2024-06-08 收录
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In November 2022, the Centre for International Child Health (CICH) at BC Children's Hospital brought together leading young researchers at the 2022 American Society for Tropical Medicine and Hygiene Annual Meeting to share their work developing leveraging frugal digital technology and data-driven vulnerability prediction to improve care across different points of a critically-ill child’s journey. Panelists described development and validation of risk prediction models, highlighting how such models can guide targeted, affordable interventions. Attendees had a chance to learn how practical and affordable digital technology equipped with clinical algorithms can support health workers with identifying, treating, and following-up high-risk children, improving outcomes within health facilities and at home, and the role of promising new host and pathogen biomarkers in enhancing the predictive capability of prognostic models. Speakers: Arjun Chandna: Risk stratification of pediatric febrile illness to inform effective community management and earlier referral to higher-level care. Samuel Akech: Smart Triage, a prediction-based facility quality improvement program for critically ill children. Teresa Kortz: Point-of-care biomarkers for mortality risk stratification in pediatric severe febrile illness; using next-generation sequencing for etiology of severe febrile illness Matthew Wiens: Smart Discharges, post-discharge interventions based on the risk of post-discharge mortality., NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on this page under \"collaborate with the pediatric sepsis colab.\"

2022年11月,不列颠哥伦比亚省儿童医院(BC Children's Hospital)下属的国际儿童健康中心(Centre for International Child Health, CICH)在2022年美国热带医学与卫生学会年会(American Society for Tropical Medicine and Hygiene Annual Meeting)上召集顶尖青年研究者,分享其开发并依托简约数字技术与数据驱动的脆弱性预测方法,优化危重症儿童全照护路径的研究成果。 与会专家介绍了风险预测模型的开发与验证工作,重点阐释此类模型可如何指导靶向且可负担的干预措施。参会者得以了解搭载临床算法的实用型平价数字技术,如何助力医护人员识别、救治并随访高危儿童,从而改善医疗机构内与居家照护的结局;同时还了解到极具前景的新型宿主与病原体生物标志物,在提升预后模型预测性能方面的作用。 本次分享的讲者包括: 阿尔琼·昌德纳(Arjun Chandna):儿童发热性疾病的风险分层,用于指导高效的社区管理与及早转诊至更高层级的医疗照护。 塞缪尔·阿凯奇(Samuel Akech):智能分诊(Smart Triage)——一项基于预测模型的危重症儿童医疗机构质量改进项目。 特雷莎·科茨(Teresa Kortz):儿童重症发热性疾病死亡率风险分层的床旁生物标志物;利用下一代测序技术(next-generation sequencing)探究重症发热性疾病的病因。 马修·威恩斯(Matthew Wiens):智能出院(Smart Discharges)——基于出院后死亡风险制定的出院后干预方案。 受限文件须知:若您尚未加入合作实验室(CoLab),请在2个工作日内完成会员申请调研,以获取受限文件的访问权限。部分文件仅对CoLab会员开放。文件所有者认为此类文件敏感性更高,将遵循个案审批原则进行共享。如需与儿童脓毒症合作实验室开展协作,请通过本页面的“与儿童脓毒症CoLab协作”板块联系CoLab协调员。
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2024-03-16
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