
Smart Health
Challenge
One of the main challenges that stood in the way was related to deployment due to a complete change in the DevOps Flow.
There was also another problem our client had. It was associated with automating the sync of the shared database and the databases of separate clinics.
One of the main challenges that stood in the way was related to deployment due to a complete change in the DevOps Flow.
There was also another problem our client had. It was associated with automating the sync of the shared database and the databases of separate clinics.
Solution
To solve this issue, we proposed the client to deploy a new infrastructure on the AWS services. Our team configured all the services, the back end, and the front end of the project from scratch.
To deal with the occurred issue quickly and efficiently, we assigned a separate team member who had a deep background in that area. Thanks to this, the problem was solved in the short term and we continued working on the project.
To solve this issue, we proposed the client to deploy a new infrastructure on the AWS services. Our team configured all the services, the back end, and the front end of the project from scratch.
To deal with the occurred issue quickly and efficiently, we assigned a separate team member who had a deep background in that area. Thanks to this, the problem was solved in the short term and we continued working on the project.
Results
• The admin panel redesign.
• The statistics processing functionality was added to the admin panel.
• New attributes such as questions templates were added.
• Functionality allowing organization and customization of multiple clients.
• Generation of recommendations based on responses.
• Integration of a third-party math model to assess the chances of getting affected by the coronavirus disease in different regions.
• The admin panel redesign.
• The statistics processing functionality was added to the admin panel.
• New attributes such as questions templates were added.
• Functionality allowing organization and customization of multiple clients.
• Generation of recommendations based on responses.
• Integration of a third-party math model to assess the chances of getting affected by the coronavirus disease in different regions.