新工具以89%的准确率预测了55天前的高风险怀孕情况,缩小了差距,有助于及时采取干预措施。 A new tool predicts high-risk pregnancies 55 days earlier with 89% accuracy, reducing disparities and enabling timely interventions.

对自然的Npj数字公共卫生进行的一项新研究发现Waymark信号是一种预测性分析工具,它可以比89%的准确性的传统方法早55天确定医疗援助计划患者的高危怀孕。 A new study in Nature's npj Digital Public Health finds Waymark Signal, a predictive analytics tool, can identify high-risk pregnancies among Medicaid patients 55 days earlier than traditional methods with 89% accuracy. 利用现有的医疗补助要求和获得护理等社会决定因素,它预测预产期、严重孕产妇疾病和新生儿重症监护院的入院率为81.3%的敏感性,并消除准确性方面的种族差异。 Using existing Medicaid claims and social determinants like access to care, it predicts preterm birth, severe maternal illness, and neonatal ICU admissions with 81.3% sensitivity and eliminates racial disparities in accuracy. 该工具通过护理协调和社区支助,使早期干预成为可能,有可能防止许多可避免的孕产妇死亡。 The tool enables early interventions through care coordination and community support, potentially preventing many avoidable maternal deaths.