THE CURRENT USE OF MODERN INFORMATION TECHNOLOGIES IN MEDICINE: THEIR ROLE IN DATA COLLECTION, DIAGNOSTICS, AND TREATMENT
Abstract
Modern information technologies have become essential components of contemporary medical practice, influencing data collection, diagnostic accuracy, treatment planning, and healthcare management. This study analyzes the current level of IT implementation across different medical fields and evaluates their effectiveness. By examining digital tools such as electronic health records, artificial intelligence, telemedicine, robotics, and big data systems, the research identifies the advantages and limitations of technological integration within healthcare systems.
Keywords
Medical IT, digital health, diagnostics, treatment, data collection, artificial intelligence in medicine, telemedicine, electronic health records.
References
- World Health Organization. Global strategy on digital health 2020–2025. WHO; 2020. Available from WHO publications.
- OECD. Health at a Glance 2023: Digital health (section and associated working papers). Organisation for Economic Co-operation and Development; 2023. (Includes data on EMR/EHR adoption across OECD countries).
- Aggarwal R, et al. Diagnostic accuracy of deep learning in medical imaging: systematic review. BMJ Open / Scientific Reports (example reviews). 2021. (Comprehensive review of deep learning performance and limitations in imaging diagnostics).
- Ezeamii VC, et al. How Telemedicine Is Improving Patient Outcomes (systematic review/meta-analysis). PubMed Central (2024). (Summarizes telemedicine benefits in chronic disease management and access).
- Lawrence R, et al. Artificial intelligence for diagnostics in radiology practice. The Lancet eClinicalMedicine (2025). (Recent review of clinical applications, evidence quality, and implementation challenges for AI in radiology).