精准医学发展中的公正性挑战与出路

Challenges and Solutions to the Impartiality in the Development of Precision Medicine

精准医学力图超越当前"平均病人"的医疗模式,根据个体差异提供更有效的医疗方案。现阶段,精准医学发展主要集中在癌症精准治疗和大数据平台建设,要求大量公共资金支持和社会成员的广泛参与。但当前发展模式下,精准医学在成果分配和公共资金使用等方面面临公正性挑战。近年来,随着精准健康理念的出现,精准医学内部的发展重心出现调整,精准预防领域的研究日渐兴起,其提高人口水平干预效益的研究进路和目标,将有效缓解当前精准医学的公正性困境。精准大数据平台也将随着精准预防研究的开展,在多学科、多领域交叉合作中发挥更大价值潜力,提高公共资金的使用效率,促进健康收益。精准医学将在精准健康的框架下迎来新的发展机遇。

Precision medicine seeks to go beyond the current medical model of“average patient”,providing more effective medical solutions based on individual differences.At the present stage,the development of precision medicine mainly focuses on the precision treatment of cancer and the construction of big data platform,which requires massive government funding and widespread public participation.However,under the current development model,precision medicine faces challenges in the equitable distribution of research results and the use of public funds.In recent years,the focus of precision medicine has begun to adjust with the emergence of the concept of precision health.The research on precision prevention is on the rise,and its approach and goal of improving the effectiveness of population-level intervention will effectively alleviate the current dilemma of precision medicine.With the development of precision prevention,the big data platform will reach its full potential in multidisciplinary cooperation,improve the efficiency of the use of public funds,and promote health benefits.Precision medicine will face a new development opportunity under the framework of precision health.