为过量接触点开发实时仪表板:以用户为中心的设计方法
Amey Salvi1, Logan A Gillenwater2, Brandon P Cockrum3
1School of Informatics, Computing, and Engineering, Indiana University Indianapolis, Indianapolis, IN, United States.
JMIR human factors
|June 11, 2024
概括
一个新的仪表板通过可视化死者与服务的互动来增强过量致死审查 (OFR),为目标过量预防策略提供关键数据. 该工具提供实时洞察力,以改善社区卫生政策.
科学领域:
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
- 医疗信息学 医疗信息学
背景情况:
- 过量使用致死率评估 (OFR) 对社区过量使用预防至关重要.
- 目前的OFR方法审查有限的病例,可能导致对局部过量模式和低于最佳的政策建议的不完全理解.
研究的目的:
- 探索使用数据仪表板来增强传统的OFR,并可视化过量事件 (接触点) 之前的事件.
- 通过分析死者与服务的互动来识别过量预防的机会.
主要方法:
- 开展了重点小组和与OFR专家 (N=27) 的调查,以确定信息需求.
- 设计和开发了一个实时仪表板,跟踪死者的与印第安纳州卫生和司法服务的互动.
- 整合了对基本数据特征和可视化设计的专家反.
主要成果:
- 专家强调可视化与紧急医疗服务和司法系统的互动.
- 死者匿名性和数据解释培训被强调为关键考虑因素.
- 仪表板可视化县和州级的触点指标 (流行率,频率,时间).
- 最初的评估表明,仪表板提供了全面的数据,并可以改进OFR建议.
结论:
- 印第安纳州接触点仪表板是第一个整合实时行政和过量死亡数据的仪表板.
- 它为数据驱动干预提供了对过量风险因素的及时,定量和时空洞察力.
- 成功融入OFR实践可能需要对数据解释和决策的培训.
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