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Discussion Response
Student’s Name
Institutional Affiliation
Course Title
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Discussion Response
The articles present a detailed analysis of especially useful health technologies and
trends, including electronic health records (EHRs), telemedicine, ambulatory cardiac monitoring,
analytics in big data and remote monitoring through telehealth. These developments aim to
improve patient care, outcomes and the general efficiency of the health information system while
minimizing the chances of data breaches and technical problems. Data analytics, necessitated by
large amounts of data, is one of the most progressive technologies in nursing practice. By
utilizing huge datasets, nurses and other healthcare professionals can get all the patient data, vital
signs, test results, and treatment suggestions. Hospitals can use this data-driven method to create
personalized care plans to assist in care coordination and intervention, which may prevent
hospitalization and improve patients' quality of life (Pastorino et al., 2019).
The COVID-19 pandemic increased the rate of telehealth and RPM (remote patient
monitoring) technologies so that patients could access treatment from any location while
eliminating the risks of exposure. Nevertheless, the progress was accompanied by obstacles such
as the patient compliance issue, the knowledge deficit in the population, and data inaccuracy
caused when people do not use the devices by the set instructions (Wagholikar & Wagholikar,
2023; Shajarai et al., 2023). Patient education and communication strategies that are well
designed are the essential elements of the risk mitigation plan and the successful implementation
of RPM devices. In the future, telehealth and RPM will be on the rise, with their usefulness
increasing regarding healthcare accessibility, efficiency, and patient outcomes (Ge et al., 2023;
Yang & Lee, 2022). With the advancement of these technologies, data privacy concerns, secure
storage, and compliance with the regulations will be a priority to guarantee the ethical and
responsible use of patient data (Fliesler, 2021).
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To sum up, the underlying technology issues and directions provide a good chance for
improving nursing practice, patient care, and healthcare delivery. Nevertheless, efficient
implementation calls for a holistic approach that includes risk assessment, patient involvement,
and data privacy policies and standards.
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References
Fliesler, N. (2021). Patient privacy in the big data era. Boston Children's Answers.
https://answers.childrenshospital.org/patient-privacy-big-data/
Ge, Y., Taha, A., Shah, S. A., Dashtipour, K., Zhu, S., Cooper, J., Abbasi, Q. H., & Imran, M. A.
(2023). Contactless WiFi sensing and monitory for future healthcare: Emerging trends,
challenges, and opportunities. IEEE Reviews in Biomedical Engineering, pp. 16, 171–
191. https://doi.org/10.1109/RBME.2022.3156810
Pastorino, R., De Vito, C., Migliara, G., Glocker, K., Binenbaum, I., Ricciardi, W., & Boccia, S.
(2019). Benefits and challenges of Big Data in healthcare: an overview of the European
initiatives. European Journal of Public Health, 29(Supplement_3), 23–27.
https://doi.org/10.1093/eurpub/ckz168
Shajari, S., Kuruvinashetti, K., Komeili, A., & Sundararaj, U. (2023). The emergence of AI-
based wearable sensors for digital health technology: A review. Sensors, 23(23), 9498.
https://doi.org/10.3390/s23239498
Wagholikar, S., & Wagholikar, O. (2023). Application of wearables in healthcare management:
Recent trends and futuristic approach. 2022 OPJU International Technology Conference
on Emerging Technologies for Sustainable Development, 1–6.
https://doi.org/10.1109/OTCON56053.2023.10113968
Yang, C. W., & Lee, A. S. (2022). Using smart wearable technology acceptance model for health
monitoring technology. 2022 7th International Conference on Cloud Computing and Big
Data Analytics, 326–330. https://doi.org/10.1109/ICCCBDA55098.2022.9778932
