杨黎波（左）到脱贫户家里走访。 叶方杰摄（人民视觉） 上午10点35分，杨黎波的手机弹出一条信息，是街道办事处发来的：本月预警线索已发，烦请尽快核实 反馈。 杨黎波是贵州省黔西南布依族苗族自治州册亨县高洛街道巴纳布社区第一书记，负责该易地扶贫搬迁安 置点的防止返贫致贫监测工作。收到信息，他放下手里的活儿，点开信息滑动浏览，一共12条。杨黎波 以网格为单位分类，挨个给网格员打电话，自己则带着4条预警线索，和大家分头行动。 "韦如玉家，因病，自费金额大。"这条预警线索来自贵州省医疗保障局，在家属结算完医药费后，相关 数据信息被系统抓取。看完信息，杨黎波心里一沉，"谁生病？是啥病？自费金额咋就这么大？希望没 事。" 去年，脱贫户韦如玉家迎来第二个孩子，然而孩子的一纸诊断书打破了幸福，原本长期打零工的韦如玉 转做全职奶爸。 "查出好几种病，情况很危险。"韦如玉带着孩子直奔州医院，后又转到重庆救治。万幸的是，经过精心 治疗，孩子病情平稳，暂时出院。看到杨黎波的来电，韦如玉感到意外，"没想到社区主动找来。" "孩子有自发性脑内血肿、脑室出血、支气管炎等，好在病情稳定，等着看复查情况。不算报销部分， 自付了5万元。"韦如玉 ...

Core Insights - The article highlights the proactive measures taken by local officials in Guizhou Province to prevent poverty and ensure timely assistance to families at risk of falling back into poverty due to unforeseen circumstances, such as medical emergencies [1][2][3] Group 1: Monitoring and Early Warning System - The Guizhou provincial government has established a rural revitalization cloud platform to monitor vulnerable households, enabling early detection and intervention for those at risk of poverty [3][4] - The monitoring system utilizes data from various departments, including health and social services, to generate warning signals for families facing potential financial difficulties [3][4] - The average number of warning signals received monthly has decreased from 22 to 11, indicating improved accuracy in identifying at-risk households [2] Group 2: Case Study of Family Assistance - The case of Wei Ruyu's family illustrates the challenges faced by households with sudden medical expenses, which can lead to a risk of falling back into poverty [1][2] - Wei Ruyu's family had a total annual income of 80,400 yuan, but after incurring 50,000 yuan in out-of-pocket medical expenses, their financial situation became precarious [2] - Local officials quickly mobilized to provide assistance, including applying for social welfare benefits and recommending job opportunities to mitigate the family's financial strain [5] Group 3: Future Enhancements and Goals - The rural revitalization cloud platform aims to enhance its capabilities by introducing a toolbox for assistance policies, which will automatically generate tailored support plans based on the specific risks faced by monitored households [5] - The initiative seeks to expand data sharing among 17 departments, improving the efficiency of poverty prevention efforts and reducing the burden on local officials [4][5] - The commitment to ensuring that no individual is left behind in poverty alleviation efforts is emphasized, with ongoing monitoring and support for families in need [5]