Meituan Releases North Star Medical Aesthetics List: AI and Professional Review Reshape Medical Aesthetics Decisions

Medical aesthetics consumption is shifting from rough selection to refined decision-making. With information overload and difficulty distinguishing authenticity coexisting, consumers need a reference point that understands both expertise and real experience. Meituan's fourth North Star Medical Aesthetics List, released in Hangzhou, attempts to respond to this need with a dual-track evaluation system, while the penetration of AI capabilities behind it provides a new technological footnote for building industry trust.

Dual-Track Evaluation System Upgrade: Dual Verification of Professional Depth and Real Breadth

The core logic of the North Star Medical Aesthetics List continues the dual-track evaluation of "medical professionalism" and "user reputation." This year's list covers 181 institutions in 42 cities nationwide and 269 doctors in 36 cities, with 74 institutions and 156 doctors appearing on the list for the first time. Shanghai, Beijing, Hangzhou, Chongqing, Chengdu, Shenzhen, and Shenyang became the main cities for the institutional list.

The depth of the evaluation mechanism is reflected in the professional review process: 2 authoritative professors serve as chairmen, 7 discipline leaders lead the formation of 9 major category standard expert groups, and 70 public tertiary hospital experts with over 20 years of experience conduct anonymous cross-review. The review process cumulatively examined 9,922 hours of surgical videos and tracked 8,931 participating cases, comprehensively assessing doctors' actual technical levels from program design and operational standards to recovery outcomes.

The breadth of real experience is equally impressive. 38,547 real medical aesthetics consumers participated in the survey, combined with 4.5 million user reviews accumulated on the platform, feeding back real details of visits and services through follow-up visits and case scoring. Whether a doctor's technique is competent and whether an institution's experience is good is ultimately answered by those who have actually consumed.

Anonymous cross-review is a quality control mechanism commonly used in medical review: review experts independently score and cross-verify under the premise of not knowing the identity information of the reviewed subjects (such as institution names and doctor names), ultimately forming a comprehensive review conclusion. Its core value lies in reducing biases caused by personal connections, interest associations, and brand halos, making the review more focused on the technology itself. In the medical aesthetics field, since surgical outcomes highly depend on doctors' personal skills and aesthetic judgment, anonymous review combined with objective materials such as surgical videos and case tracking can more truthfully reflect physicians' actual levels.

Consumer Demand Shift: From Standardized Change to Personalized Preservation

The focus of medical aesthetics consumers is undergoing a subtle yet profound shift. Rather than pursuing a standardized set of changes, more and more consumers care more about whether doctors can understand their needs, whether the plan matches personal characteristics, and ultimately whether their own recognizability can be preserved.

Ms. Yang, a user from Fujian, shared her consultation experience: "I just want to look better, but not unlike myself." This need seems simple, but the actual choice is not easy. Consumers not only need to understand institutional qualifications but also judge whether cases have been modified, whether shares come from real experiences, and whether the doctor's aesthetics align with their own.

Lots of information, hard to verify. How to find credible evidence from a large amount of scattered information has become a real challenge for more and more medical aesthetics consumers. The North Star Medical Aesthetics List's approach is to transform complex evaluations into a referable information structure: the institutional list's 71 dimensions and 344 evaluation points cover the entire service process from entering to leaving the store; the doctor list's 34 dimensions and 311 evaluation points balance operational standards, technical capabilities, and aesthetic judgment.

Wang Hongjun, attending doctor at Shenzhen Union Lige Medical Beauty, has been on the list for two consecutive years. He observed that many out-of-town consumers learn through the list and make special trips to seek treatment. "As information becomes more complex and beauty seekers find it increasingly difficult to verify, the North Star Medical Aesthetics List is becoming the most weighty reference point in their minds."

The credibility of user reviews is one of the most difficult links to verify in medical aesthetics decisions. Shares and cases on the platform may involve photo editing, ghostwriting, or even fake reviews, which ordinary consumers find hard to distinguish. One of the North Star Medical Aesthetics List's responses is to combine the platform's accumulated 4.5 million user reviews and cross-verify through follow-up visits and case scoring. This "review + follow-up" dual verification approach is essentially using multi-source information to mutually corroborate, reducing the misleading risk caused by single-source distortion, and helping consumers build more reliable judgment bases amid information overload.

AI Empowers Institutional Operations: Extension from List Evaluation to Daily Operations

Beyond the list, AI is becoming the underlying capability through which Meituan's medical aesthetics helps institutions improve operational efficiency. The AI digital intelligence operations platform MeiLink, launched in June this year, equips merchants with AI digital expert "Mei Ling'er" and 7×24-hour online AI customer service, embedding AI capabilities into consultation reception, product operations, and online store management.

The operating data of this system is noteworthy: as of now, it has served over 1,000 medical aesthetics merchants and cumulatively received over 30,000 consulting users, of which over 17,000 users left store visit intentions. This means AI is not only undertaking traffic but also helping merchants complete the key leap from consultation to conversion, improving operational judgment and daily management efficiency.

From an industry perspective, the introduction of AI capabilities and list evaluation form a certain closed loop: the list defines what good institutions and good doctors are, while AI tools help institutions move toward these standards in daily operations. Li Xiaohui, head of Meituan's pharmaceutical and health business unit, stated that he hopes to use the North Star Medical Aesthetics List to drive the industry toward development that values long-term trust more, delivering professional strength and real reputation to consumers in need.

AI digital expert refers to virtual service roles built on large language models and industry knowledge bases, capable of conducting multi-turn conversations with users in a near-human manner, completing consultation answers, need identification, and preliminary plan recommendations. In medical aesthetics scenarios, such AI roles can be online 7×24 hours, undertaking user consultations without time and manpower constraints, and continuously accumulating conversation data for service optimization. It does not replace doctor consultations but handles preliminary communication and need screening, allowing professional doctors to focus their energy on core links such as consultations and surgeries, thereby improving overall operational efficiency.

A New Cycle Driven by Trust: Institutions Gain a Reference Frame for Long-Term Operations

The medical aesthetics industry is entering a new cycle centered on trust. Professional standards are easier to understand, real experiences are more convenient to reference, and the initial trust consumers thereby establish also places higher demands on institutions and doctors.

"Honor is a spotlight, and also a magnifying glass. Once seen, one must withstand being seen even more." This statement by Jiang Hua, director of the Plastic Surgery Department at Shanghai East Hospital Affiliated to Tongji University, expresses the dual pressure faced by listed institutions.

Zhang Chong, founder of Zhimei Quality Medical Beauty, which has been on the list for four consecutive years, believes the list has turned the "good" in consumers' minds into quantifiable daily standards for institutions. Changzhou Shi'ermei Plastic Surgery Hospital, founded fourteen years ago, made the list for the first time this year. The institution's head Lin Jianqiang put it more directly: "We didn't make it last year, and we felt it was a pity. Over the past year, we made targeted adjustments and improvements, and finally made the list. Meituan North Star is like a mirror, reminding us to continue improving."

Meituan's North Star Medical Aesthetics List provides each participating institution and doctor with a differentiated evaluation profile and improvement plan free of charge, covering interpretations and improvement suggestions across various dimensions. The significance of this mechanism design lies in transforming the selection from a mere honor award into a driving force for continuous improvement, returning industry competition to quality itself.

As medical aesthetics consumption enters the stage of quality selection, consumers need not only a list but also a set of trust infrastructure that can be continuously verified and constantly evolved. The combination of the North Star Medical Aesthetics List and the AI operations platform may be outlining the prototype of this infrastructure.