DIGITAL TRANSFORMATION OF MEDICAL CARE IN UZBEKISTAN: POSITIVE OUTCOMES OF AUTOMATIC SPEECH RECOGNITION
Journal Title: International scientific journal Science and Innovation - Year 2024, Vol 3, Issue 7
Abstract
Medical professionals in Uzbekistan are still compelled to rely mostly on hard copy paper charts while providing care to citizens. Even if the internet communication is becoming more and more integrated into other areas of the business, this phenomenon still requires a lot of time and resources when it comes to medical one. In many relatively more developed foreign healthcare systems, the sophisticated use of contemporary information technology (IT) in healthcare institutions—particularly the digitization of electronic health records (EHR), which facilitates the easy exchange of vital data among all stakeholders in the healthcare system—has been shown to be a useful tool for improving treatment quality, lowering costs, and eliminating errors. Thus, the Ministry of Health has developed a new plan for the Digitalization of the Health System for 2021–2025 (E-Health–2025). Consequently, in recent years, there has been a fast acceleration of ICT integration into medical institutions' operations, and systems for electronic document management are currently being adopted. The goal here is to provide the general population with healthcare as quickly, simply, and effectively as possible. However, there are some roadblocks in the system that impede the EHR integration process. These problems might include data security, which is essential to preserve as the republic's healthcare sector quickly becomes data-intensive, and the conservative medical staff's unwillingness to follow all software-related procedures because of their lack of computer literacy. Aside from that, there are other illogical actions taken by medical professionals, such as copying and pasting patient data, which results in a significant volume of inaccurate and duplicated medical data. The potential benefit of voice-to-text enabled text recording during consultations has been emphasized and strongly backed by pertinent research, observations, on-site modeling, and quasi-experimental testing in order to address these unworkable aspects within our research.
Authors and Affiliations
Islamov B. A. , Teshayev R. K.
Keywords
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