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我曾在百度、赶集负责过大数据团队,58、赶集合并以后,我出来创业,切入的方向是医疗大数据识别。我发现,传统的医院是一个个信息孤岛,医患之间的信息无法正常流通。然而,无论是C端患者,还是B端的保险公司、药厂、医疗器械厂,都非常需要这些数据信息。我就想打破信息壁垒,构建健康的医疗生态圈,运用我们擅长的机器视觉技术,把化验单或者单据上的文字变成数据,进行智能分类和解读,提供相关报告给用户。通常患者在医院排队一整天,诊断只有5分钟,医生根本无暇解释,而患者又看不懂专业数据。我们最开始做的是C端化验单免费解读,患者通过
I was in Baidu, the market is responsible for large data over the team, 58, market after the merger, I came out to start a business, cut in the direction of medical big data identification. I found that the traditional hospital is an isolated island of information, the information between doctors and patients can not be normal circulation. However, both C-terminal patients and B-side insurers, pharmaceutical companies and medical device factories are in great need of these data messages. I would like to break the barriers to information, build a healthy medical ecosystem, using our expertise in machine vision technology, the test sheet or document into the text on the text, intelligent classification and interpretation, to provide relevant reports to the user. Usually patients are queuing up in the hospital for a whole day. The diagnosis is only for 5 minutes. The doctors have no time to explain and the patients can not read the professional data. The first thing we did was a free interpretation of a C-test and the patient passed