NRS 450 Topic 4 DQ 2 Discussion: Explain the role of communication technology in enhancing clinical information flows. Name three contemporary communication technologies used in acute care facilities.

 NRS 450 Topic 4 DQ 2 Discussion: Explain the role of communication technology in enhancing clinical information flows. Name three contemporary communication technologies used in acute care facilities.

 NRS 450 Topic 4 DQ 2 Discussion: Explain the role of communication technology in enhancing clinical information flows. Name three contemporary communication technologies used in acute care facilities.

Assessment Description

Explain the role of communication technology in enhancing clinical information flows. Name three contemporary communication technologies used in acute care facilities. How is Artificial Intelligence (AI) and machine learning changing the functionality of these platforms?

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Initial discussion question posts should be a minimum of 200 words and include at least two references cited using APA format. Responses to peers or faculty should be 100-150 words and include one reference. Refer to “RN-BSN Discussion Question Rubric” and “RN-BSN Participation Rubric,” located in Class Resources, to understand the expectations for initial discussion question posts and participation posts, respectively.

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NRS 450 Topic 4 DQ 2

Explain the role of communication technology in enhancing clinical information flows.

Health communication and information technologies use electronic devices, databases, and applications to prevent diseases, treat illnesses, manage chronic conditions, enhance healthcare for people and their communities, improve system efficiencies, and reduce medical errors. Health ICT provides novel and improved methods for obtaining, exchanging, managing, and saving data (Ahad et al., 2020). Information Communication Technologies provide remote care, multidisciplinary clinical assistance, and knowledge support to address the gap in the health sector in developing and newly industrialized nations. 

Name three contemporary communication technologies used in acute care facilities.

Remote patient monitoring is an emerging concept that extends beyond conventional healthcare and into popular culture. Fitness trackers and smartwatches are becoming common among individuals, tracking health metrics such as heart rate, oxygen levels in the blood, irregular heartbeat detection, and other parameters. In smart hospitals and healthcare digital transformation, the Internet of Things plays a significant role, according to Pradhan et al. (2021). Hospitals benefit from gaining real-time information about patient health by enabling communication between medical equipment and sensors. Mobile Health (MHealth) is essential to patient-centered treatment in intelligent hospitals. MHealth apps would allow patients to actively engage in their well-being due to the ubiquitous use of smartphones.

How is Artificial Intelligence (AI) and machine learning changing the functionality of these platforms?

In and of itself, the observability of a system is targeted at improving its operations to increase its efficacy, whether it be increasing its speed, efficiency, scalability, or security. It is possible for machine learning and artificial intelligence to automate the process of allocating and adjusting resources for the system, as well as to make modifications to the configuration or reorganize workloads, as well as to provide suggestions, and carry out actions (Rubinger et al., 2023). All of this is done to maximize the system’s effectiveness, adapt dynamically to the ever-shifting circumstances of the environment, and even save expenses.

References

Ahad, A., Tahir, M., Sheikh, M. A., Ahmed, K. I., Mughees, A., & Numani, A. (2020). Technologies Trend towards 5G Network for Smart Health-Care Using IoT: A Review. Sensors, 20(14), 4047. https://doi.org/10.3390/s20144047

Rubinger, L., Gazendam, A., Ekhtiari, S., & Bhandari, M. (2023). Machine learning and artificial intelligence in research and healthcare. Injury-International Journal of the Care of the Injured, 54, S69–S73. https://doi.org/10.1016/j.injury.2022.01.046

Pradhan, B. K., Bhattacharyya, S., & Pal, K. (2021). IoT-Based applications in healthcare devices. Journal of Healthcare Engineering, 2021, 1–18. https://doi.org/10.1155/2021/6632599