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The healthcare system has experienced significant technological changes over the years that have affected the healthcare sector. The electrical medical record has reduced the issuing of wrong medicine to patients assuring them of their safe prescription and prevented unnecessary investigations (Kalid et al., 2018). The time of accessing records of the patients by health officers for medication is favorable because it is fast and reliable, and patients can access them at any time. The effectiveness of this invention is that it improves productivity in health sectors and patient service (Kalid et al., 2018). Patients experience fairness in cost as there is less paperwork done. Online doctors appointments have replaced the long queues in the facilities that wasted much time.
Artificial intelligence (AI) has transformed healthcare systems in that machines perform diagnoses. The use of AI in healthcare has minimized the occurrence of risks during the treatment of patients (Kalid et al., 2018). Instead, it has taken part in treating, preventing, and managing some disease conditions. Treatment of some diseases took much time, especially performing surgery. Machines have reduced the time of performing surgery on patients. In terms of equality, research shows that the algorithms used when making the equipment had racial discrimination. Biasness has reduced as this invention in health is programmed to perform its services to all people despite having differences in race, sex, and tribe. Patient-centered care has been improved with the help of AI because the same treatment has transformed from a traditional model to a patient partnership concerning treatment options. Innovative medical equipment, which is sometimes quite expensive, provides increased productivity and effectiveness in the healthcare sector. Machines have replaced some tasks performed by medical workers.
Reference
Kalid, N., Zaidan, A. A., Zaidan, B. B., Salman, O. H., Hashim, M., & Muzammil, H. (2018). Based real-time remote health monitoring systems: A review on patients prioritization and related big data using body sensors information and communication technology.Journal of Medical Systems, 42(2), 30. Web.
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