covid-ht aims to provide a tool for implementing an AI layer on clinical classification effectively in order to improve detection, information availability and resource efficiency in medical environments.
Currently the data input and classification form templates are static due to columns for conversion fields.
The idea is to have them dynamic, so a covid-ht instance can specify the fields in the forms according to the output of their equipment and have the templates generated automatically, providing convenience for speeding up configuration and deployment.
Currently the data input and classification form templates are static due to columns for conversion fields.
The idea is to have them dynamic, so a covid-ht instance can specify the fields in the forms according to the output of their equipment and have the templates generated automatically, providing convenience for speeding up configuration and deployment.