In this Discussion, you will reflect on your healthcare organization’s use of technology and offer a technology trend you observe in your environment. To Prepare: Reflect on the Resources related to digital information tools and technologies. Healthcare Information Technology Trends Healthcare Information Technology Trends Consider your healthcare organization’s use of healthcare technologies to manage and distribute information. Reflect on current and potential future trends, such as use of social media and mobile applications/telehealth, Internet of Things (IoT)-enabled asset tracking, or expert systems/artificial intelligence, and how they may impact nursing practice and healthcare delivery.
Healthcare Information Technology Trends
In healthcare technology, several trends are evident, and their impact on mental health, particularly in psychiatric nursing practice, is noteworthy. One prominent trend is the increased adoption of Electronic Health Records (EHRs) and telehealth platforms. These technologies facilitate seamless information exchange and enhance accessibility to mental health services (McGonigle & Mastrian, 2022). However, challenges and risks emerge with the growing reliance on these technologies.
One potential benefit of these technologies is improved data safety through advanced encryption and security measures. This ensures that sensitive patient information is protected from unauthorized access. However, a corresponding risk lies in the potential for data breaches or cyberattacks, compromising patient confidentiality and trust (McGonigle & Mastrian, 2022).
Furthermore, legislation, such as the Health Insurance Portability and Accountability Act (HIPAA), is crucial in safeguarding patient data. Compliance with such regulations is a benefit that reinforces patient trust (Benda et al., 2020). Conversely, a risk may arise if organizations fail to adhere to these laws, leading to legal consequences and compromised patient care. Regarding patient care, integrating artificial intelligence (AI) and machine learning (ML) in mental health technologies holds promise. These tools can analyze large datasets to identify patterns, predict treatment responses, and personalize interventions (Benda et al., 2020). The benefit lies in the potential for more effective and tailored mental health care. However, a risk involves algorithm biases, potentially leading to inaccurate assessments or exacerbating health disparities (Benda et al., 2020).
Among the various healthcare technology trends, mobile health (mHealth) applications for mental health monitoring are particularly promising in nursing practice. These apps enable real-time mood tracking, medication adherence, and symptoms, fostering patient engagement and proactive interventions (Sieck et al., 2021). This promise improves patient care outcomes by enhancing communication between patients and providers, promoting self-management, and preventing crises.
In conclusion, while healthcare technology trends offer numerous benefits for mental health care, they also present challenges and risks. Striking a balance between innovation and safeguarding patient welfare is paramount. Integrating mHealth applications stands out as a promising trend in nursing practice, contributing to better patient care outcomes through enhanced communication, self-management, and preventive interventions.
References
Benda, N. C., Veinot, T. C., Sieck, C. J., & Ancker, J. S. (2020). Broadband internet access is a social determinant of health. American Journal of Public Health, 110(8), 1123-1125. https://doi.org/10.2105/AJPH.2020.305784
McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
Sieck, C. J., Sheon, A., Ancker, J. S., Castek, J., Callahan, B., & Siefer, A. (2021). Digital inclusion as a social determinant of health.NPJ Digital Medicine, 4(1), 52. https://doi.org/10.1038/s41746-021-00413-8