Robin Victoria Lewispeer: There Has Been A Significant Trend

Robin Victoria Lewispeer 1there Has Been A Significant Trend Towards D

Robin Victoria Lewis Peer 1 There has been a significant trend towards developing mobile applications and telehealth platforms at my healthcare organization. These technology-assisted tools allow for distant consultations, enable patients to self-monitor various health metrics data at home, and provide a convenient communication channel between healthcare professionals and their patients. Challenges or Risks Related to Data Security include exposure to data breaches and unauthorized access, especially if mobile devices are not properly secured (Ahmed & Rajput, 2020). Regulatory compliance is increasingly complex as healthcare regulations like HIPAA evolve, and using illegal applications may lead to legal liabilities (Winter & Davidson, 2022). Additionally, the digital divide presents a challenge, as not all patients have access to smartphones or the internet, potentially leading to disparities in healthcare delivery.

Potential benefits of these technological trends include enhanced patient outcomes through advanced analytics and AI-driven tools that can predict health risks, optimize treatments, and improve care quality (Alowais et al., 2023). For example, AI algorithms can analyze large datasets to anticipate patient readmissions, aiding clinicians in preventive care. However, risks involving reliance on data-driven decision-making include the potential for misinterpretation or mistrust in AI outputs, which could threaten patient safety. Ensuring accurate, transparent, and comprehensible AI systems is critical in mitigating these risks.

Among the most promising trends are the Internet of Things (IoT)-enabled asset tracking systems, which optimize inventory management by monitoring medical supplies and medications in real time, thereby reducing waste and preventing stockouts (Sharma et al., 2020). For instance, IoT sensors can track medication usage, alerting providers when stock levels are low. Additionally, AI-based clinical decision support systems assist healthcare professionals by processing data from multiple sources to guide decision-making, ultimately improving diagnostic accuracy and patient outcomes (Bag et al., 2023). Such innovations collectively enhance the efficiency, safety, and quality of healthcare services.

In nursing practice, the adoption of these technological advancements significantly impacts patient care, data management, and operational efficiency. IoT asset tracking can lead to cost reductions and improved resource utilization (Sharma et al., 2020). AI-driven decision support enhances diagnostic precision and reduces human errors, directly benefiting patient safety (Bag et al., 2023). Telehealth platforms facilitate remote patient monitoring, reducing unnecessary hospital visits and promoting continuity of care. Despite these opportunities, challenges such as data security, regulatory compliance, and equitable access must be addressed (Ahmed & Rajput, 2020; Winter & Davidson, 2022). Ensuring data privacy, securing digital infrastructure against cyber threats, and bridging the digital divide are vital for maximizing the benefits of healthcare technologies.

In conclusion, the rapid development of healthcare technology presents numerous opportunities for enhancing nursing practice and patient care. While the benefits include improved health outcomes, operational efficiencies, and personalized treatment approaches, it is essential to remain vigilant about associated risks. Protecting sensitive patient data, adhering to regulatory standards, and ensuring equitable access are paramount. As technology continues to evolve, ongoing efforts to address these challenges will be critical in shaping a secure, effective, and inclusive future for healthcare delivery.

References

  • Ahmed, S. M., & Rajput, A. (2020). Threats to patients' privacy in the smart healthcare environment. In Innovation in Health Informatics (pp. ). Academic Press.
  • Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., ... & Albekairy, A. M. (2023). Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Medical Education, 23(1), 689.
  • Bag, S., Dhamija, P., Singh, R. K., Rahman, M. S., & Sreedharan, V. R. (2023). Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study. Journal of Business Research, 154, 113315.
  • Canali, S., Schiaffonati, V., & Alverti, A. (2022). Challenges and recommendations for wearable devices in digital health: Data quality, interoperability, health equity, fairness. PLOS digital health, 1(10), e.
  • Lu, L., Zhang, J., Xie, Y., Gao, F., Xu, S., Wu, X., & Ye, Z. (2020). Wearable Health Devices in Health Care: Narrative Systemic Review. JMIR mHealth and uHealth, 8(11), e18907.
  • McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.
  • Sharma, D. K., Bhargava, S., & Singhal, K. (2020). Internet of Things applications in the pharmaceutical industry. In An Industrial IoT Approach for Pharmaceutical Industry Growth (pp. ). Academic Press.
  • Winter, J. S., & Davidson, E. (2022). Harmonizing regulatory regimes for the governance of patient-generated health data. Telecommunications Policy, 46(5), 102285.
  • 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.

Related Assignments