[ANSWERED 2024] Provide an overview of the emerging technology and its role/function in health care. Consider its potential for improving access to care and promoting patient safety and quality

Provide an overview of the emerging technology and its role/function in health care

Provide an overview of the emerging technology and its role/function in health care. Consider its potential for improving access to care and promoting patient safety and quality
Emerging Technology Brief 

New health care innovations offer the advanced registered nurse an opportunity to apply emerging technologies in practice to improve quality and patient outcomes. For this assignment, research an emerging health care technology that you think has the potential to overcome current or emerging barriers to care.

Write a 500-750-word brief. Include the following:

1. Provide an overview of the emerging technology and its role/function in health care. Consider its potential for improving access to care and promoting patient safety and quality.

2. Describe ethical or legal issues that would accompany the incorporation of the technology.

3. Explain the nurse\’s informatics role in regard to the technology. Provide examples of the roles and job functions.

4. Outline the role of workflow analysis, human factors, and user-centered design concepts for your chosen technology example.

Refer to the topic Resources for samples and resources to help you construct your brief.

You are required to cite three to five sources to complete this assignment. Sources must be published within the last 5 years and appropriate for the assignment criteria and nursing content.

Expert Answer and Explanation

Emerging Technology Brief

Overview of the Emerging Technology and its Role in Health Care

The global Artificial Intelligence (AI) industry is thriving, with players across different sectors leveraging the AI to improve operational efficiency, and enhance decision-making. In healthcare sector, the AI use is widespread, with pharmacists utilizing it to inform decisions when prescribing medications because this technology integrates capabilities such as the ability identify adverse drug events based on specific patient characteristics. Specifically, the AI adopts a capability that makes it mimic human brain by developing the capability to predict the working of the medication relative to the human chemical components.

The AI integrates the data-analysis ability, which also explains the reason why it is popular among players within the healthcare industry (Bohr & Memarzadeh, 2020). If a physician wants to accurately make diagnosis, they can utilize an AI tool to analyze a sample collected from a patient, and make diagnosis. Considering these elements pertaining to AI use, the AI use can potentially help improve patients’ access to health services.

Ethical and Legal Issues that Would Accompany the Incorporation of the Technology

Despite the opportunities that come with AI use, its use in healthcare raises legal and ethical issues. One of the legal concerns linked to the use of this technology is the lack of informed consent when handling data. The apps with AI capability can mine data, and use this data even without the user’s permission. Because some of these apps have security vulnerabilities, they pose the risk of attacks, causing the breach of data privacy. Questions equally arise when it comes to ensuring the integrity of the information generated by the technology because the malfunction of the AI tool, can lead to wrong predictions (Davenport & Kalakota, 2019).

If the AI recommends the wrong treatment, for instance, it can lead to serious complications. The reliance on AI as a decision-making tool raises the risk of bias especially when working with patients from diverse settings. If the AI is trained to work with data derived from a specific ethnic group, for instance, the AI may make wrong prediction when working with people from other ethnic groups (Sharma et al., 2022).

The Nurse’s Informatics Role In Regard to the Technology

Regarding the utilization of AI, the nurse informatics plays a vital role. For instance, they are responsible of collecting meaningful data as they consider the aspects of the data such as the patient’s characteristics, the frequency of the medication use, and the types of medications they use. The AI technology synthesizes this data, coming up with meaningful inferences that can help predict treatment outcomes (Bajwa et al., 2021). The nurse also provides a key role in ensuring that the systems that integrate the AI technology meet security standards, and those who use the AI tools, understand the meaningful use policies, to help avoid data breach.

The Role of Workflow Analysis, Human Factors, and User-Centered Design Concepts for the Chosen Technology

When it comes to the AI, the workflow analysis helps determine the aspects of the technology that the developer should work on. For instance, it can help determine the problem with making predictions. Through training the AI, the AI can generate responses based on human input, easing the time it takes for one to make decisions (Basu et al., 2020). When designing the AI system, it is important to involve users to share information that can help develop meaningful AI tools.


Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021). Artificial intelligence in healthcare: transforming the practice of medicine. Future healthcare journal8(2), e188–e194. https://doi.org/10.7861/fhj.2021-0095.

Basu, K., Sinha, R., Ong, A., & Basu, T. (2020). Artificial Intelligence: How is It Changing Medical Sciences and Its Future?. Indian journal of dermatology65(5), 365–370. https://doi.org/10.4103/ijd.IJD_421_20.

Bohr, A., & Memarzadeh, K. (2020). The rise of artificial intelligence in healthcare applications. Artificial Intelligence in Healthcare, 25–60. https://doi.org/10.1016/B978-0-12-818438-7.00002-2.

Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future healthcare journal6(2), 94–98. https://doi.org/10.7861/futurehosp.6-2-94.

Sharma, M., Savage, C., Nair, M., Larsson, I., Svedberg, P., & Nygren, J. M. (2022). Artificial Intelligence Applications in Health Care Practice: Scoping Review. Journal of medical Internet research24(10), e40238. https://doi.org/10.2196/40238.

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