The　main　purpose　of　this　research　is　to　design　a　cloud-based　open,　shared,　collaborative,　multi-tenant,　multi-organization　glaucoma　auxiliary　diagnosis　service　platform.　It　mainly　includes　the　research　on　the　current　situation　at　home　and　abroad,　and　analyzes　the　existing　problems.　On　this　basis,　aiming　at　the　problems　of　irreversible　glaucoma　and　uneven　distribution　of　medical　resources,　the　service　mode　and　concept　of　intelligent　medical　treatment　are　proposed　to　provide　a　unified　portal　for　hospitals,　doctors　and　patients,　so　that　they　can　access　the　platform　and　choose　the　services　they　need.　The　platform　uses　information　technologies　such　as　cloud　computing,　big　data,　and　artificial　intelligence　to　achieve　data　sharing　by　obtaining　patient　VF　data.　Use　big　data　to　alert　users　of　possible　health　risks　in　advance,　and　maximize　the　use　of　data　to　prevent　possible　health　problems　for　users.　According　to　the　service　model,　complete　the　IaaS,　PaaS,　SaaS　logic　architecture　and　system　architecture　design;　complete　the　service　function　development,　database　modeling　development　and　visual　interface　development,　and　finally　realize　the　platform　operation.　Transform　traditional　medical　services　into　digital　medical　services,　provide　users　with　streamlined,　standardized　and　precise　services,　and　solve　the　current　problems　of　uneven　distribution　of　medical　resources,　non-sharing　of　data,　and　insufficient　service　strength.　Promote　the　deep　integration　of　Internet　technology　and　medical　care,　and　promote　the　development　of　information　technology　in　the　medical　service　industry.　©　2024　IEEE.