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

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.

References

Bajwa, J., Munir, U., Nori, A., & Williams, B. (2021). Artificial intelligence in healthcare: transforming the practice of medicine. Future healthcare journal, 8(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 dermatology, 65(5), 365–370.