Price: 0
Number of applications: 7
24.02.26 (inclusive)
Remuneration is discussed with the contractor
MVP
ICT tasks
MedTech
Other technological solutions
Software/ IS
Clinics have accumulated large amounts of data: • patient data • the history of appeals • calls and correspondence • Diagnoses and treatment plans • behavioral patterns • Financial and operational indicators But in practice: • data is used fragmentarily • the analysis is retrospective, not forward-looking • decisions are made based on feelings • there is no personalization of working with the patient • it is impossible to predict in advance the outflow, complications, repeated treatment
Key tasks of a neural network • segmentation of patients • prediction of the probability of admission/rejection • forecast of repeat treatment • identification of the risk of patient outflow • analysis of treatment effectiveness • support for personalized recommendations • optimize the work of the call center and the care department
Agzamova Amina
Purpose and description of task (project)
The purpose of the project Create a neural network that: • combines all patient data into a single model • analyzes behavior, medical and service parameters • reveals hidden patterns • predicts key events • helps the clinic to make management and medical decisions
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