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医疗卫生领域的数据正在呈爆炸式增长,医学与大数据的结合迫在眉睫,为医学发展注入了新的活力。大数据不仅可以预测疾病发生发展,提高早期诊断率,而且能够为患者提供最佳治疗方案,节约医疗成本,同时可以加强慢性病的有效管理,促进疾病转归。此外,大数据技术还引发了医生思维的变革,由传统追求因果性的思维方式转变为更加注重相关性。自主研发的Idata内分泌大数据库正在建立,其不断完善的过程需与哲学思想相结合,旨在实现内分泌代谢性疾病患者资料的有效保存和资源共享,推动整体医学的发展。
The data in the field of health care are exploding, and the combination of medicine and big data is imminent, injecting new vitality into the medical development. Big data can not only predict the development of disease, improve the early diagnosis rate, but also provide patients with the best treatment plan, save medical costs, and at the same time can strengthen the effective management of chronic diseases and promote the return of diseases. In addition, big data technology has also led to changes in the thinking of doctors, from the traditional way of thinking of causal change to more emphasis on relevance. Independent research and development Idata endocrine large database is being established, and its continuous improvement process needs to be combined with philosophical thinking, so as to achieve the effective preservation and resource sharing of patients with endocrine and metabolic diseases and to promote the development of holistic medicine.