Radiology is a process that involves displaying images of various parts of the body for treatment (Tomà et al., 2021). Examples of radiology found in healthcare sectors are CT scans, X-rays, MRIs, and ultrasounds (Morris et al., 2018). Radiology has enabled early detection and effective management of chronic diseases such as cancer.
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Importance to healthcare
Usage of radiology has improved the healthcare sector at large. Physicians can detect diseases and diagnose them with imaging from the radiology results (Morris et al., 2018).
The advancement in the health sector has eased doctors’ work in tracing the disease and treating patients (Jalal et al., 2019). The treatment time has been reduced due to the fast service patients get from this process.
Importance to patients
Early detection of illnesses has enabled patients to cut off some expenses incurred during unnecessary surgeries (Tomà et al., 2021). Doctors used imaging to carry out an operation if it was necessary.
Patients knowing the illness are suffering from tending to seek treatment early enough to be cured (Gransjøen et al., 2018). Victims with no record of their health were at a higher risk of death since doctors did not know what to treat in their bodies.
The number of people going for checkups has increased as its cost went down due to this technology. The time radiology takes to complete one test is less than for surgery, thus reducing hospitalization length (Gransjøen et al., 2018).
Health sectors have been improved since the introduction of this technology. It has made life easier for some people since diseases such as cancer can be treated through this process. The fear that people had about the surgery has been overturned. It has helped doctors with more skills on how to run the facilities. The time that patients used to wait for their results has reduced.
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Tomà, P., Magistrelli, A., Secinaro, A., Secinaro, S., Stola, G., Gentili, C., Agostiniani, R., Raponi, M., & Verardi, G. P. (2021). Sustainability of paediatric radiology in Italy. Pediatric Radiology, 51(4), 581-586. Web.
Morris, M. A., Saboury, B., Burkett, B., Gao, J., & Siegel, E. L. (2018). Reinventing radiology: Big data and the future of medical imaging. Journal of thoracic imaging, 33(1), 4-16. Web.
Jalal, S., Nicolaou, S., & Parker, W. (2019). Artificial intelligence, radiology, and the way forward. Canadian Association of Radiologists Journal, 70(1), 10-12. Web.
Gransjøen, A. M., Wiig, S., Lysdahl, K. B., & Hofmann, B. M. (2018). Barriers and facilitators for guideline adherence in diagnostic imaging: An explorative study of GPs’ and radiologists’ perspectives. BMC health services research, 18(1), 1-8. Web.