新的AI-动力伙伴关系旨在提高临床试验效率和患者对罕见疾病的可负担性。 A new AI-powered partnership aims to boost clinical trial efficiency and patient affordability for rare diseases.

eClinic Solutions和ZS合作,将AI驱动的数据分析与基于风险的质量管理专门知识相结合,以提高临床试验效率和合规性。 eClinical Solutions and ZS have partnered to integrate AI-driven data analytics with risk-based quality management expertise, aiming to improve clinical trial efficiency and compliance. 美国的《保险范围透明度规则》继续产生大量的保险商-提供者定价数据,尽管大多数病人仍在苦于使用这些数据,促使私营公司开发工具,将数据转化为可用的洞察力。 The U.S. Transparency in Coverage rule continues to generate vast amounts of insurer-provider pricing data, though most patients still struggle to use it, prompting private firms to develop tools that translate the data into usable insights. 与此同时,Orsini和Paynela联合起来,加强稀有疾病患者的可负担方案,利用大赦国际加快和提高共同付费援助报销要求的准确性,缩短处理时间,并增加对救命治疗的遵守。 Meanwhile, Orsini and Paynela have joined forces to enhance affordability programs for rare disease patients, using AI to speed up and improve the accuracy of copay assistance claims, reducing processing time and increasing adherence to life-saving treatments.