System for digital character recognition, extraction and structuring of medical data with the formation of a cloud-based electronic health records

• Published in: Kardiovaskuli͡a︡rnai͡a︡ terapii͡a︡ i profilaktika Vol. 21; no. 12; p. 3482
• Main Authors: Komkov, A. A., Mazaev, V. P., Ryazanova, S. V., Kobak, A. A.
• Format: Journal Article
• Language: English; Russian
• Published: SILICEA-POLIGRAF» LLC 17-01-2023
• Subjects: artificial intelligence; automation; cloud-based electronic medical record; data processing; electronic health record; healthcare; machine learning; medicine; optical character recognition; rupatient
• ISSN: 1728-8800; 2619-0125
• DOI: 10.15829/1728-8800-2022-3482

The use of available systems for obtaining structured data from primary medical information is based on the use of various technologies, including digital transformation of primary data for the formation of electronic health records. The purpose of the work was to outline the structure and benefits of using the RuPatient electronic health record (EHR), created to automate the work with medical data, digital character recognition and building an algorithm for communicating with patients. The created RuPatient EHR automates the processing of medical documents using image digitization and optical character recognition and the formation of a database. The developed program code that combines modules into a single web service is registered as intellectual property. The web service is a client-server application with the ability to access the interface through a browser from a smartphone, tablet, laptop, and personal computer. The service contains an interface part (Frontend), a functional part, with the possibility of expanding with separate modules (Backend), and databases for storing information about patients. The developed service provides standardization and digitalization of documents of patient-doctor visits and is a tool for convenient remote communication between a patient and a doctor via the built-in chat. The RuPatient EHR serves as a convenient tool for standardizing medical information in digital form and is designed to help the doctor and the patient in organizing treatment and preventive interaction.