Enrichment of the digitalization of hospital systems through the implementation of methods for processing and analysis of medical data
Abstract
In recent decades, humanity has witnessed rapid development and innovations in information technology, particularly artificial intelligence systems. Parallel to these, innovations in healthcare are moving. By leveraging advances in intelligent systems combined with the incorporation of new approaches to research in the medical environment, we can build a flexible and more convenient healthcare platform. The article examines and evaluates the possibility of supporting digitizing patients’ health records. The main priority is to give medical professionals more detailed visibility and access to their patient’s health information, which should not be transferred on paper but collected in a common platform available in a single medical portal. The first step to improving digital services in healthcare is to open a profile per patient. Various types of tests performed by medical laboratories and hospitals or data coming from personal devices can be attached to this profile. During the preliminary study, it was found that for the moment our health system does not have such a tool. The creation of a single repository would contribute to the easier exchange and access of medical professionals to the complex health picture of the patient from any place with Internet connectivity. After that methods from artificial intelligence will be integrated for analysis, assessment, and preparation of expertise that predicts future diseases and concomitant complications. The integration of a combination of AI methods can improve digital hospital services by generating a detailed report on the treatment performed, medications taken, and assessment of the patient’s final condition.
Fields of Study & Subjects
Electronic Health Records Systems
Artificial Intelligence in Healthcare and Education
Technology and Human Factors in Education and Health
Publication details
- Journal / source
- ARPHA proceedings
- Volume
- 1
- Pages
- 499–506
- Publication date
- 27 January 2026
- Language
- EN