Telehealth and AI in Healthcare
Introduction
The integration of technology in healthcare helps by supporting accessible and personalized medical care. Telehealth has helped to break down geographical barriers by bringing healthcare to remote and underserved areas with never-before-seen convenience for patients. Likewise, AI has become a powerful tool in nursing that can help with analysis, diagnosis, and decision-making thanks to data-driven insights and the opening of new lanes in medical research. This paper examines the impact of telehealth and AI in terms of efficacy and implications for the future of nursing and healthcare delivery.
DNP Essentials
First off, the integration of telehealth and AI in healthcare represents a technological advancement and a positive aspect of the Doctor of Nursing Practice (DNP) Essentials and role-specific competencies. The Scientific Underpinnings for Practice are fundamental as DNPs need a solid understanding of the evidence base for telehealth and AI applications in healthcare (Secinaro et al., 2021). In terms of Organizational and Systems Leadership, DNPs are expected to be proficient in integrating technologies like telehealth and AI into healthcare systems. This competency refers to the adoption of technology so that these innovations improve patient care and are in line with the goals of the healthcare organization.
The Clinical Scholarship and Analytical Methods for Evidence-Based Practice component requires DNPs to be adept at evaluating and applying research findings. The insights gained from studies on telehealth and AI help to improve clinical practice and enhancing patient outcomes. Likewise, Information Systems/Technology competency is increasingly important. DNPs must be proficient in using telehealth and AI technologies, as these tools are essential for improving patient care and for informed participation in healthcare system decision-making (Briganti & Le Moine, 2020).
In terms of Healthcare Policy, DNPs should actively participate in shaping policies that govern the use of telehealth and AI in healthcare so that the implementation of these technologies is ethical, equitable, and effective. Interprofessional Collaboration is another key area. The implementation of telehealth and AI solutions in healthcare requires a collaborative approach across various disciplines. DNPs, with their comprehensive knowledge and skills, are well-positioned to lead and facilitate this collaboration.
Regarding Clinical Prevention and Population Health, telehealth and AI offer powerful tools. These technologies can be used to improve outcomes in population health, which is definitely an area where DNPs can significantly contribute, particularly in terms of strategy and implementation. Finally, in Advanced Nursing Practice, DNPs are expected to integrate their clinical expertise with their knowledge of telehealth and AI. This integration is necessary for providing superior patient care and for demonstrating competencies in advanced nursing practice.
Literature Review
Telehealth in Healthcare
The integration of telehealth into healthcare practices, particularly in geriatric care and during the COVID-19 pandemic, has been a subject of significant research by Lillicrap et al., (2021), who conducted a study focusing on the impact of telehealth in improving geriatric care and reducing hospitalizations in regional and remote areas. Their findings revealed that telehealth services significantly benefit elderly patients, especially those in remote regions, by improving access to healthcare and reducing the need for hospitalization.
In a...
…health (Secinaro et al., 2021).Implications to Nursing
The incorporation of AI into nursing practice has significant implications for both the practice itself and the broader organizational and political policies. Nurses are required to adapt to new technologies, necessitating ongoing education and training. This shift demands a reevaluation of nursing curricula to include AI and data analytics. Additionally, nurses will play a crucial role in the ethical and practical implementation of AI in healthcare, balancing technological proficiency with compassionate patient care (Briganti & Le Moine, 2020).
From an organizational perspective, healthcare facilities must invest in AI technologies and infrastructure while also addressing concerns related to privacy, data security, and ethical issues. Politically, the rise of AI in healthcare necessitates updated regulations and policies to govern its use, ensuring patient safety and data privacy while promoting innovation.
Conclusion
The integration of telehealth and AI into healthcare, as discussed in this paper, is a transformative movement that aligns closely with the DNP Essentials. The advancements in telehealth have enhanced patient access to care, particularly in remote and underserved areas, and have shown to improve patient outcomes and satisfaction. AI's role in healthcare is evolving, offering benefits in terms of diagnostic accuracy, treatment optimization, and more.
For nursing practice, nurses need to adapt to these technological advancements. This means more training clinical expertise, technology, data analytics, and ethical considerations. Organizational and political policies must change to support the integration of these technologies, addressing issues of privacy and data security, for example. Overall, the integration of telehealth and AI into healthcare…
References
Briganti, G., & Le Moine, O. (2020). Artificial intelligence in medicine: today andtomorrow. Frontiers in medicine, 7, 27.
Gajarawala, S. N., & Pelkowski, J. N. (2021). Telehealth benefits and barriers. The Journal forNurse Practitioners, 17(2), 218-221.
Lillicrap, L., Hunter, C., & Goldswain, P. (2021). Improving geriatric care and reducinghospitalisations in regional and remote areas: The benefits of telehealth. Journal of telemedicine and telecare, 27(7), 397-408.
McGrowder, D. A., Miller, F. G., Vaz, K., Anderson Cross, M., Anderson-Jackson, L., Bryan, S.,... & Dilworth, L. (2021, October). The utilization and benefits of telehealth services by health care professionals managing breast cancer patients during the COVID-19 pandemic. In Healthcare (Vol. 9, No. 10, p. 1401). MDPI.
Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., & Biancone, P. (2021). The role ofartificial intelligence in healthcare: a structured literature review. BMC medical informatics and decision making, 21, 1-23.
Wolff, J., Pauling, J., Keck, A., & Baumbach, J. (2020). The economic impact of artificialintelligence in health care: systematic review. Journal of medical Internet research, 22(2), e16866.
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