Genetic data interpretation system
Resource Center for Universal Design and Rehabilitation Technologies
We arranged data collection and carried out all internal work
        "Project partner: 
Genetic research – Atlas LLC"
        Project objectives
            To develop tool for genetic cancer and hereditary diseases risk assessment, and for improving nutrition according to the results of the genetic testing. The system in future will make it possible to determine the most effective method of treating cancer depending on the genetic predisposition of the patient and will help to individualize treatment in order to improve results.
        Users
            Cancer centers, health departments, patients in cancer centers, ordinary citizens.
        What we have done
                                Collected the data
                                    Conducted an audit of the existing medical information systems, and information exchange standards that are used
                                    Designed technical requirements to implement the project
                                    Coordinated, received and implemented an access to the Customer's secure network
                                    Collected an information about business processes
                                    Migrated the data
                                    Installed a software at the Customer's facilities
                                    Set up operations
                                    Instructed the staff
                                    Developed technical documentation and training materials
                                    Implemented the 1st,  the 2nd and the 3rd lines of technical support
                                    Developed the tool to provide an integration with other software, including those using AI
                                The results
                                We implemented the collection of medical data from Medical Information System*, Lab Information System*, Radiological Information System*, as well as:
                                        
                                - data unification;
 - data storage;
 - the ability to analyze and work with this data.
 
Implemented automatic interpretation of genetic data:
                                        
                                - subsystem for analysis and interpretation of oncological genetic biomarkers;
 - subsystem for analysis and interpretation of whole-genome data;
 - microbiome analysis and interpretation subsystem.
 
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