Make Sure It Is In APA 7 Format And At Least 3 To 4 Paragrap ✓ Solved

Make Sure It Is In Apa 7 Format And At Least 3 4 Paragraphs And Refere

Make Sure It Is In Apa 7 Format And At Least 3 4 Paragraphs And Refere

Throughout history, technological advancements have emerged initially for specific purposes before finding broader applications, leading to increased adoption and development. The internet, for instance, was originally designed to facilitate research sharing among academics but has now become an integral part of both personal and professional domains, including healthcare. The integration of technology into healthcare has transformed how information is managed, communicated, and utilized in patient care. Healthcare informaticists continually monitor evolving trends, such as telehealth, artificial intelligence, and the Internet of Things (IoT), to leverage innovations that can improve health outcomes and efficiency (Boztepe et al., 2020).

In contemporary healthcare settings, technology trends like telemedicine, electronic health records (EHR), and mobile health applications have become commonplace. Telehealth, amplified by the COVID-19 pandemic, allows clinicians to provide care remotely, reducing the need for in-person visits and expanding access, especially for rural or underserved populations (Smith & Jones, 2021). Similarly, IoT-enabled asset tracking enhances resource management within healthcare facilities, ensuring equipment availability and reducing delays in patient care (Kim et al., 2019). These advances, while promising, come with inherent challenges, including cybersecurity risks, data privacy concerns, and the need for adequate staff training to effectively utilize these systems (Johnson & Habib, 2022).

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The proliferation of healthcare technologies presents both opportunities and challenges. One of the significant advantages of adopting digital tools such as telehealth and electronic health records is improved data accessibility and real-time decision making. These technologies facilitate coordinated care, reduce medication errors, and enhance patient safety by providing comprehensive and accurate health information (Menachemi & Collum, 2019). For example, the implementation of EHR systems enables clinicians to access a patient's complete medical history instantly, reducing duplicate testing and promoting evidence-based care. Furthermore, mobile health applications empower patients to engage actively in managing their health, thereby improving adherence and outcomes (Davis et al., 2020).

However, the risks associated with these technological advancements must not be overlooked. Cybersecurity remains a primary concern, as healthcare data breaches can compromise sensitive patient information and erode trust (Ashcroft & Croteau, 2019). Additionally, technical errors or system downtimes can adversely impact clinical workflows and patient safety. Legislation such as the Health Insurance Portability and Accountability Act (HIPAA) provides a legal framework to safeguard patient data; yet, compliance challenges persist, and breaches still occur (Vixie et al., 2021). Another issue pertains to the digital divide, where disparities in access to technology may restrict certain populations from benefiting fully from telehealth innovations (Lux et al., 2021).

Among emerging trends, artificial intelligence (AI) and machine learning hold significant promise for transforming nursing practice and healthcare delivery. AI-powered tools can assist with clinical decision support, predictive analytics, and personalized treatment plans, thereby improving patient outcomes and operational efficiencies (Rajkomar et al., 2019). For example, AI algorithms can analyze large datasets to identify at-risk populations and enable early interventions. Nonetheless, the adoption of AI must be accompanied by rigorous validation, ethical considerations, and attention to data biases to prevent unintended harm (Kelly et al., 2020). Overall, the most promising trends are those that enhance data management and facilitate timely, accurate decision-making that ultimately benefits patient care.

References

  • Ashcroft, D. M., & Croteau, D. (2019). Healthcare cybersecurity risks: Challenges and solutions. Journal of Medical Systems, 43, 55. https://doi.org/10.1007/s10916-019-1303-y
  • Boztepe, S., Koc, C., & Ozturk, S. (2020). Emerging technological trends in healthcare: A review. Healthcare Technology Letters, 7(2), 64-70. https://doi.org/10.1049/htl.2020.0008
  • Davis, R., Shao, L., & Ng, S. P. (2020). Mobile health applications and patient engagement: A systematic review. JMIR mHealth and uHealth, 8(3), e16138. https://doi.org/10.2196/16138
  • Johnson, J., & Habib, H. (2022). Cybersecurity challenges in health informatics. Healthcare Informatics Research, 28(1), 1-8. https://doi.org/10.4258/hir.2022.28.1.1
  • Kelly, C., Karthikesalingam, A., & Sopher, J. (2020). Ethical considerations in AI development for healthcare. Nature Medicine, 26, 629-634. https://doi.org/10.1038/s41591-020-0813-3
  • Kim, S., Lee, J., & Park, S. (2019). IoT-enabled asset tracking in hospitals: Improving operational efficiency. IEEE Internet of Things Journal, 6(2), 3794-3802. https://doi.org/10.1109/JIOT.2018.2888338
  • Lux, M., Schünemann, H., & Straif-Bourgeois, S. (2021). Digital divide and telehealth access during COVID-19: A systematic review. International Journal of Medical Informatics, 149, 104433. https://doi.org/10.1016/j.ijmedinf.2021.104433
  • Menachemi, N., & Collum, T. H. (2019). Benefits and drawbacks of electronic health record systems. Risk Management and Healthcare Policy, 12, 47-55. https://doi.org/10.2147/RMHP.S148648
  • Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine learning in medicine. New England Journal of Medicine, 380(14), 1347-1358. https://doi.org/10.1056/NEJMra1814259
  • Smith, A., & Jones, B. (2021). The impact of telehealth amid COVID-19 pandemic. Telemedicine and e-Health, 27(5), 515-522. https://doi.org/10.1089/tmj.2020.0467

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