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Nov 24, 2024

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Running head: HEALTHCARE 1 Comment on what is lost and what is gained by increasing the use of robotics in healthcare delivery Student’s Name Department; Institution Professor’s Name Course Code and Name Date

HEALTHCARE 2 Comment on what is lost and what is gained by increasing the use of robotics in healthcare delivery. Using robotics in health care delivery is a possibility and a current reality. The COVID- 19 Pandemic was a wake-up call for the health sector, still confined to the 20 th century, on the need for an overhaul with digital health help (Mesko, 2021). Robotics has helped redesign medical facilities to match the 21 st century, focusing on patient design and the provision of health care from a different perspective in terms of architecture and technology; For instance, the use of telemedicine and telehealth in healthcare provision. The use of Artificial Intelligence (AI) in healthcare provision has been more beneficial to patients. An AI can see more and recognize more than a human radiologist can; in time, AI will change radiology and the entire healthcare sector. Diseases can be detected better than radiologists by using patients’ lives and medical histories to shape algorithms. For example, these new algorithms can detect pneumonia, malignancies such as pulmonary nodules in the chest and breast cancer, wrist fractures by analyzing two-dimensional X-ray images, and intracranial hemorrhage, among others (Fishman, 2020). This has improved the prediction of patients’ survival, treatment, and management. Robots are crucial in patient care delivery by acting as medical assistants. They can interact and connect with patients, making it safe and private for patients to seek medical help. Additionally, they can perform tasks that are dangerous and unhygienic to humans (Stout, 2021). They can sanitize public areas, remove tumors, i.e., gastrointestinal tumors, without inceptions, and make deliveries. There are tasks better suited for machines since they can work efficiently and tirelessly for 24 hours, posing a risk to the human workforce. Moreover, they work faster and more

HEALTHCARE 3 accurately than the best specialists. The use of AI risks making medical health practitioners such as radiologists obsolete if they don't work to improve themselves and their value (Fishman, 2020). However, there are other roles the machines cannot perform, such as interpreting machine output, choosing images, and training the machines, among others; hence, individuals can take these advantages to secure themselves.

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HEALTHCARE 4 References Fishman, E. K. (2020). Artificial Intelligence in Radiology: Will it change radiology? Retrieved from https://www.youtube.com/watch?v=OXuQmwfjfH8 Mesko, B. (2021). Retrieved from https://www.youtube.com/watch?v=nAgCrYrmH3I Stout, K. L. (2021). Retrieved from https://www.youtube.com/watch?v=ndekueH9a2E

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