BMC Health Services Research

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School

Ohio State University *

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Course

HUMAN RESO

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Health Science

Date

Nov 24, 2024

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docx

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Uploaded by DeaconSnowSeaLion27

BMC Health Services Research Student’s Name: 1 BMC Health Services Research Student's Name: Institution: Professor: Date:

BMC Health Services Research Student’s Name: 2 Meskó et al. "BMC Health Services Research," Will artificial intelligence solve the human resources crisis in healthcare? Journal of human resources crisis in healthcare issues, 13 th July 2018, pp 1-4. Reviewed by……. In this article Meskó et al. analyze the importance and the effects that can be brought up by the application of artificial intelligence in healthcare to solve the human resources crisis. Its application in healthcare may be in several ways: diagnostics, decision-making, big data analytics, and administration, among many other applications. Human resource is a factor of production that cannot be evaded or avoided in any output of services or other products. In healthcare services, human resources are used adequately; therefore, there is a need to solve the crisis facing human resources for quality services. The emergence of technology makes the workforce easier for the workers and has empowered the workers despite having a fear of being replaced by technology. The application of digital health, which has become widely spread, has raised ethical questions even though it is of great help to the healthcare department. Even though they support digital healthcare, the authors of this article oppose the fact that AI can be used to replace caregivers. The reasons for incorporating artificial intelligence in healthcare are the human crisis, which includes the shortage of doctors globally, the burnout and aging of the physicians, and chronic care is highly needed in healthcare. A third of the physicians working are said to be 55 years and over. This age means that they cannot be utilized fully due to burnout. Some of the symptoms of burnout highlighted by the article are psychological and sleep illnesses and struggle in adapting to new strategies. Artificial Intelligence is seen as the best for filling the gaps that human resources cannot fulfill. Those gaps have been growing more extensive and more prominent in the past decades,

BMC Health Services Research Student’s Name: 3 which has created more problems in the healthcare department. Artificial Intelligence is divided into three stages: narrow artificial intelligence, artificial general intelligence, and artificial superintelligence. The authors state that limited artificial intelligence will be used to analyze large data sets, find new correlations, and support caregivers but not replace them. In performing a single task, for example, online searches or predicting sales, narrow artificial intelligence can be ideally used. Artificial general intelligence is termed human-level AI since it can understand and reason the similarity of the environment around it, just a normal human being. Artificial superintelligence is said to be smarter than even the best humans in all the fields, starting with creativity to the skills a human can apply (Nick, 2014). Through machine learning, it is possible to create programs that determine a recurring pattern from different images fed into the program while performing radiography. In connection with machine learning, deep learning is also introduced. It uses neural networks and can perform several tasks, including image recognition, natural language processing, and translation. Artificial intelligence is evident in some companies that have already used AI, and the cost has decreased. There have been future advancements in radiology where the medical sieve aims to build cognitive assistants with analytical reasoning capabilities and critical knowledge. In this article, there have been a lot of questions that arise after the needing to apply artificial intelligence in healthcare. One of the problems with introducing AI is that adopting AI in undeveloped countries would be challenging since the system is costly. This will push the undeveloped countries further behind while trying to adopt the new approach. With AI, some professionals may be forced out of the profession since one professional running the system is enough to ensure all work is done to satisfaction. The article's authors agreed that technology would offer solutions to most of the gaps highlighted in the report. This could be achieved

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BMC Health Services Research Student’s Name: 4 through better diagnostic decisions, improvement of treatment outcomes, and a reduction in the errors that the professionals perform. Although artificial intelligence will be of higher accuracy and precision, some of the attributes the system may not offer patients, such as empathy, appropriate communication, and the human touch the professionals can provide to the patients. The authors state that AI is not meant to replace the professionals, but those using the AI will replace those not using the AI. In my opinion, AI would be an excellent plan if all the countries embraced the system. To cater to the undeveloped countries, the World Health Organization can fund those countries to install the designs. The article has exceptionally outlined the challenges that healthcare professionals are facing and also how solutions to the challenges can be met. One weakness of this article is that most of the questions raised about the application of AI have not provided the answers to them, even though the authors have tried to get some solutions and explain how to carry out the problems. The author has accomplished what they intended to do by explaining the challenges encountered in healthcare and introducing the AI system in healthcare. The authors well outlay the problems which AI can solve. The article has summed up every bit of what the author wanted to spell out.

BMC Health Services Research Student’s Name: 5 Reference Bostrom N. Superintelligence: Paths, dangers, strategies. [Internet]. Superintelligence: Paths, dangers, strategies. 2014 https://link.springer.com/chapter/10.1007/978-3-319-26485- 1_33

BMC Health Services Research

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