医疗与消费周报：AI医疗：技术赋能驱动诊疗从“经验”到“数据”转型破局三重壁垒向普惠化进阶-20250726

Group 1 - The report highlights that five out of six sub-sectors in the pharmaceutical index recorded positive returns, indicating a strong market performance [2][14]. - AI in healthcare is transforming from "experience-driven" to "data-driven" approaches, leveraging internet and data technologies to enhance diagnostic efficiency and address structural issues in healthcare resources [3][8]. - The core capabilities of AI in healthcare are categorized into three layers: perception intelligence, computational intelligence, and cognitive intelligence, which collectively support the transition to data-driven decision-making in clinical settings [9][11]. Group 2 - The report identifies three major barriers facing AI in healthcare: data barriers, privacy concerns, and data bias, with future breakthroughs expected through "AI + edge computing" and regulatory sandboxes [11]. - The pharmaceutical sector's performance for the week of July 21-25 shows significant gains in medical services (+6.73%) and medical devices (+4.43%), while traditional Chinese medicine and chemical pharmaceuticals experienced lower returns [14][15]. - The report notes that the central government has allocated 700 million yuan to support healthcare reform projects in Henan, highlighting ongoing investments in healthcare infrastructure [20]. Group 3 - The National Medical Insurance Administration is advancing drug procurement reforms to ensure quality and affordability, having conducted ten rounds of drug procurement since 2018, covering 435 types of drugs [23]. - During the "14th Five-Year Plan" period, the National Medical Insurance Bureau has funded 350 million people from disadvantaged backgrounds to ensure they have access to medical insurance, with a total expenditure of 72.29 billion yuan [24][25].