The use of technology in hospital settings has changed the whole healthcare process. Innovations in technology have a positive impact on medical processes, enabling the involvement of electronic medical records and data storage facilities. Technology has boosted diagnosis accuracy, improved communication among healthcare professionals and patient-nurse relations, and enhanced patient safety. Information management in hospital settings covers electronic medical records, with promising development paths in implementing artificial intelligence.
Electronic medical records have replaced paper patient records, authorizing more efficient access to patient data. Effective implementation of electronic records requires a multidisciplinary team’s cooperation and a secure data storage and transmission system (Keshta & Odeh, 2021). Improvements in patient-doctor communication and adjustment of the treatment process to the level of automation are being monitored in hospitals (Al Aani et al., 2019). Moreover, it helps to reduce errors and improve patient safety by providing accurate and up-to-date medical information.
Speaking about the prospects for developing the latest technologies in hospital settings, it is worth paying attention to the use of artificial intelligence (AI). The growing popularity of these tools is already revolutionizing various industries, and the healthcare sector is no exception. With the help of AI, it is possible to analyze vast amounts of data and formulate treatment patterns. Prospects for using artificial intelligence in hospital settings will likely lead to increased investment in this area (Reddy et al., 2020). Thus, the productive use of AI tools for the benefit of the development of the health care system, with due attention to the issue of data security, can significantly affect the development of the field in the future.
Technological innovations dictate the healthcare sector’s development and contribute to improving communication, service, diagnosis, and treatment. Electronic medical records have improved the process of data collection and sharing within medical institutions and automated the process of diagnosis and treatment. It led to a better understanding between the doctor and the patient and sped up the processing of indicators. Since the successful use of artificial intelligence in hospital settings is now being observed, it is expected to process large amounts of data and create treatment models.
References
Al Aani, S., Bonny, T., Hasan, S. W., & Hilal, N. (2019). Can machine language and artificial intelligence revolutionize process automation for water treatment and desalination?Desalination, 458, 84-96. Web.
Keshta, I., & Odeh, A. (2021). Security and privacy of electronic health records: Concerns and challenges. Egyptian Informatics Journal, 22(2), 177-183. Web.
Reddy, S., Allan, S., Coghlan, S., & Cooper, P. (2020). A governance model for the application of AI in health care. Journal of the American Medical Informatics Association, 27(3), 491-497. Web.