On 29 january, the need for visual screening and close vision control peaked each year as primary, secondary and tertiary schools across the country entered winter vacations. A strategic collaboration between tsai tsai, the global leader of the optical industry, resulted in the official launch of the "dr. Z" smart body。
As the first smart-body application in the country, which focuses on the field of close-vision control and subdivision of young people, the product combines the capability of the ai mega-mode for telecommunication clouds with the technological build-up of chase in the field of ophthalmology, with the aim of solving the pain of “information asymmetries” and “service faults” in the management of family vision health through ai. At present, the service is open to the public through a micro-intelligence program。
It is known that a proactive health management programme has been set up in the “dr. Z” smart body to address the visual health anxiety commonly faced by parents. In terms of content authority, the smart body has access to the professional medical-level database of the educator, ensuring the professionalism of forensics and effective filtering of pseudo-science information on the internet. In terms of functional design, the product has effectively broken the limits of the traditional ai “passive question and answer” and has been transformed into a “eye health housekeeper” exclusive to the family。
After parents upload their eye health reports, smart bodies not only interpret the data but also conduct in-depth analysis of multidimensional indicators. For example, when the results of an eye health report for a child are detected in the system, the system indicates the risks involved and explains the causes and consequences and gives the corresponding recommendations for intervention, thus making it possible to move from “informed data” to “explaining the causes and consequences”。
In terms of industry demand, the introduction of this product is also consistent with the current trend of “portal forward” control. It is known that close vision control for young people has now been elevated to a national strategy, and numerous communications have been sent by the relevant departments calling for the creation of an electronic archive of the vision and health of young children and adolescents, with the goal of “one person at a level”。
However, the traditional model of prevention and control faces real challenges such as unequal distribution of medical resources and lack of post-hospital management. To this end, the project digitized complete closed loops from online monitoring to sub-line medical care. Based on the dynamic growth archives system, smarts can track key indicators on a continuous basis and initiate review reminders. When users require further professional intervention, the intelligent body can provide accurate referral to a qualified caiji cooperative ophthalmic institution based on the location service (lbs), both reducing the cost of testing blindly and providing the professional institution with a precise digital dialysis route。
This collaboration also reflects a new trend towards the deeper integration of ai with the health sector. In the case of telecommunication clouds, this is a concrete exercise to move large-scale modelling capacity from a generic scenario to a vertical eye-based specialized site, in the context of a sustained scaling-up of ai strategic inputs, marking a gradual shift from infrastructure to an intelligent application of vertical scenarios. For chase, it marks a further deepening of its concept of “innovation in china, to the world”. As a global leader in optical and eye health, chase opticals, through this collaboration, has innovatively integrated the global top-of-the-horizon visual technology with the leading ai digital ecological depth of the telecommunication cloud, exploring a model path for multinational enterprises to digitize in china。
At present, the "dr. Z" smart body is officially online. In the future, as more real interactive data are deposited, both sides will be able to continue the iterative modelling capacity to accelerate the digital evolution of visual health management from “passive medicine” to “active prevention”。
