T5D2 – QUESTION 1: Zoraida – Technology is widely used to collect data. We can c

T5D2 – QUESTION 1:
Zoraida – Technology is widely used to collect data. We can converse and share information regardless of location thanks to technology. Digital camera, camcorder, audio recorder, and internet questionnaire distribution.
This innovation helps us obtain crucial research data, but also has drawbacks. I will use online questionnaires to obtain information, especially about the pandemic. However, this tool has drawbacks for data collection. Long surveys confuse individuals and lead to survey fraud. It’s easy to finish just pressing buttons, and there’s little accountability( Lee, 2020). Verify your questions carefully. Due to restricted sampling and respondent availability, probable cooperation issues, and a lack of an interviewer to clarify and confirm, results may be inaccurate.
Rapid technological advancements might be intimidating. There are many reasons to go into IT, but understanding how it works is essential. To keep up with this generation, we need to know how to use technology.
Long surveys confuse individuals and lead to survey fraud. It’s easy to finish just pressing buttons, and there’s little accountability (Elmurzaevich, 2022). Verify your questions carefully. There’s little Some communities are less likely to use the internet and answer to online surveys. Online surveys could be ignored. If poked, people push delete. Lack of an interviewer who clarifies and checks might also affect findings.
Elmurzaevich, M. A. (2022, February). Use of cloud technologies in education. In Conference Zone (pp. 191-192).
Lee, J., Azamfar, M., Singh, J., & Siahpour, S. (2020). Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing. IET Collaborative Intelligent Manufacturing, 2(1), 34-36.
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QUESTION 2:
Joshua – When we think of technologies that have changed the world, it is usually through digital disruption of their respective industries. Though there is currently a lot of hype around this technology, artificial intelligence (AI) has the power to disrupt healthcare in positive ways. The old way of trial and error can be put to rest with predictive AI. With big-data analytics, AI and machine-learning models can be a key resource to improve healthcare services in high-risk areas (Leveraging AI – predictive analytics in Healthcare 2021). Through data analysis, we can reasonably predict outcomes based off what actions are taken. I can use data to show my organization their staffing problems will get worse with mandatory overtime. AI can predict outcomes better than humans because of a lack of emotion. This technology is still in it’s infancy and I will not be able to use it for this project. The barriers to it’s use are cost and development. Running these queries through AI is extremely expensive.
I asked CHATgpt, the only publicly available AI platform, the question “how does mandatory overtime affect nurses”?
This is CHATgpt’s response :
Mandatory overtime can have significant effects on nurses, both physically and mentally. Some of the impacts of mandatory overtime on nurses include:
Burnout: Mandatory overtime can lead to burnout among nurses due to the prolonged hours and extra workload, leading to exhaustion and feelings of being overwhelmed.
Reduced job satisfaction: Nurses who are frequently required to work overtime may experience reduced job satisfaction, as they may feel like they have less control over their work schedules and less time for personal activities.
Increased risk of errors: Prolonged work hours and fatigue can increase the risk of errors in patient care, which can compromise patient safety.
Health problems: Nurses who work long hours and are frequently required to work overtime may experience health problems such as chronic fatigue, musculoskeletal injuries, and mental health issues.
Strained work relationships: Mandatory overtime can strain relationships among coworkers, as some may feel that they are being forced to work more than their fair share of hours, leading to resentment and tension in the workplace.
Overall, mandatory overtime can have a negative impact on the health and well-being of nurses, as well as their ability to provide quality care to their patients. It is important for healthcare organizations to address the issue of mandatory overtime and prioritize the well-being of their nursing staff.
Leveraging AI – predictive analytics in Healthcare. Wipro. (2021). https://www.wipro.com/analytics/leveraging-ai-predictive-analytics-in-healthcare/
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QUESTION 3:
Kortni – Artificial intelligence (AI) has become a major topic as we continue to gain better understanding of its ability as well as seeing its unlimited capacity to continuously improve systems already implemented throughout society. Many researchers believe incorporating AI into healthcare can assist with managing patient care, improving patient outcomes, and providing care to underserved populations. There is a study, in the planning phases, about integrating this technology into mobile healthcare clinics (Liu et al., 2022). The concept of this study is to implement telemedicine, electronic health records, autonomous driving, and medical equipment integration into one mobile healthcare clinic to reach underserved communities, serve communities during pandemics or times of crisis, and more, making healthcare access unlimited for all (Liu et al., 2022).
My capstone change proposal discusses the impact mobile healthcare clinics may have on dialysis patients in underserved communities in being compliant with preventative care management and dialysis treatments. Although I will not be implementing AI into my change proposal, researchers have found it beneficial in improving patient outcomes and reaching those within underserved populations. This technology wouldn’t improve the implementation of my change proposal but would improve the efficacy in which my change proposal could operate by. It would increase the amount of health information that could be provided between the mobile healthcare clinic and dialysis center about patient health conditions, it would provide more availability for dialysis patients to be seen by a primary care physician and assist in early recognition of underlying conditions in a community that often has multiple chronic diseases and underlying health conditions.
However, this technology presents numerous concerns to healthcare workers, organizations, patients, and payors (stakeholders). AI provides information based on data or research conducted by human scientists and researchers (Russell et al., 2023). Therefore, AI can often have bias due to limitations within studies conducted as well as bias that some researchers project in their study (Russell et al., 2023). This can lead to unethical decisions and has caused major ethical concerns about applying this technology to patient care (Russell et al., 2023).
Liu, S., Huang, Y., & Shi, L. (2022). Autonomous Mobile Clinics: Empowering Affordable Anywhere, Anytime Healthcare Access. IEEE Engineering Management Review, Engineering Management Review, IEEE, IEEE Eng. Manag. Rev, 50(4), 147–154. https://doi-org.lopes.idm.oclc.org/10.1109/EMR.2022.3220826
Russell, R. G., Lovett Novak, L., Patel, M., Garvey, K. V., Craig, K. J. T., Jackson, G. P., & Moore, D. (2023). Competencies for the Use of Artificial Intelligence-Based Tools by Health Care Professionals. Academic Medicine, 98(3), 348. https://doi-org.lopes.idm.oclc.org/10.1097/ACM.0000000000004963
For your colleague replies: 1 citation per question. For a total of 2 citations.
Word count is greater than 75 words or at least 5 sentences in length.
Two replies on three different days for a total of six responses per week for full participation points. This is in addition to your DQ replies.
Each colleague response must have a minimum of 1 reference with citations (the best is a peer-reviewed article).
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