CIS 450 Electronic Medication Administration Record Discussion

CIS 450 Electronic Medication Administration Record Discussion

CIS 450 Electronic Medication Administration Record Discussion

Based on your research, what conclusions have you been able to draw related to your final presentation topic? Please describe your final presentation topic and the conclusions you have drawn from the literature you have researched. Are practice changes recommended for your current practice? Why or why not?

CIS 450 Electronic Medication Administration Record Discussion Sample

            Implementing healthcare informatics, mainly Electronic Health Records and Point-Click Care Systems, is a prominent focus in transforming modern medical practices (Coma et al., 2019). This study thoroughly examines the advantages, obstacles, and consequences associated with these systems. As digitalization expands within healthcare, it becomes crucial to understand its effects on patient-provider interactions, legal considerations, data management, and overall healthcare provision (Binyamin & Hoque, 2020). Additionally, integrating social media into healthcare raises concerns regarding privacy issues and ethical boundaries that institutions and practitioners should uphold  (Acquisti & Fong, 2020). This paper provides a comprehensive overview of the research conducted on healthcare informatics, focusing specifically on Electronic Health Records (EHR) and the integration of Point-Click Care Systems. With the continuous evolution of the healthcare sector, it is crucial to comprehend the role of healthcare systems, their implications, and the requisite recommendations.

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Conclusions Drawn

            Electronic health records (EHRs) have undeniably improved data accessibility and integration, positively impacting healthcare (Booth et al., 2021). Nonetheless, electronic health records are not without their challenges. One concern is the potential decline in face-to-face interactions between healthcare providers and patients due to EHR implementation, which could impact the quality of patient care. Additionally, despite their technological advancements, technical issues can still arise with EHR systems. These system flaws could make it more difficult for a healthcare provider to fully comprehend a patient’s needs when coupled with a potential loss of nonverbal cues (Matthews & Proctor, 2021). Legally speaking, the design of some EHRs may not be sufficiently granular to capture nuanced patient data, which is essential in legal analyses or proceedings (Rowland et al., 2022).

It is necessary to acknowledge the significant ethical concerns that arise as the healthcare industry increasingly relies on monitoring behavioral and lifestyle data, indicating a move towards personalized healthcare (Huhn et al., 2022). Among these concerns, safeguarding patient privacy stands out as particularly urgent. These systems’ adoption and efficient use heavily rely on providers’ beliefs, perceptions, and experiences, which have been brought to light by integrating EHRs and Point-Click Systems. The Health Belief Model is an insightful framework for comprehending these dynamics (C.C. & Prathap, 2020). On a different but related note, incorporating social media into healthcare poses difficulties, given its widespread use, particularly the moral and legal problems surrounding patient confidentiality.

Recommendations

In the current dynamic healthcare environment, numerous suggestions arise for modern-day implementation. The primary focus for institutions should be on providing training to practitioners, enabling them to effectively navigate the intersection of technological advancements and the fundamental human element in patient care (Booth et al., 2021). As the scope and depth of data collection expand, it becomes increasingly imperative to implement robust data protection measures to uphold patient confidentiality and foster trust. In addition, given the widespread impact of social media across multiple domains, healthcare institutions must actively promote this platform’s ethical utilization (Matthews & Proctor, 2021). To encourage ethical use of social media in healthcare environments, institutions should prioritize the implementation of clear protocols and provide ongoing training. It is crucial for institutions to demonstrate a commitment to regular training and reliable technical support to address the ever-changing challenges faced by professionals in the digital era. This commitment ensures that healthcare practitioners possess the necessary skills and confidence to leverage contemporary tools and methodologies provided by modern technology effectively.

Conclusion

Healthcare informatics is experiencing considerable growth due to the introduction of innovative tools such as Electronic Health Records and Point-Click Systems. This development can potentially impact the medical domain in a transformative manner significantly. These technological advancements offer opportunities for improved efficiency, accuracy, and streamlined procedures. However, ensuring that patient-centered care principles remain at the forefront during this digital transition process is crucial. The healthcare sector must prioritize ethical considerations and maintain utmost patient confidentiality when implementing these advancements.

References

Acquisti, A., & Fong, C. (2020). An experiment in hiring discrimination via online social networks. Management Science, 66(3), 1005–1024. https://doi.org/10.1287/mnsc.2018.3269

Binyamin, S. S., & Hoque, Md. R. (2020). Understanding the drivers of wearable health monitoring technology: An extension of the unified theory of acceptance and use of technology. Sustainability, 12(22), 9605. https://doi.org/10.3390/su1222960

Booth, R. G., Strudwick, G., McBride, S., O’Connor, S., & Solano López, A. L. (2021). How the nursing profession should adapt for a digital future. BMJ, 373, n1190. https://doi.org/10.1136/bmj.n1190

C.C., S., & Prathap, S. K. (2020). Continuance adoption of mobile-based payments in COVID-19 context: An integrated framework of health belief model and expectation confirmation model. International Journal of Pervasive Computing and Communications, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ijpcc-06-2020-0069

Coma, E., Medina, M., Méndez, L., Hermosilla, E., Iglesias, M., Olmos, C., & Calero, S. (2019). Effectiveness of electronic point-of-care reminders versus monthly feedback to improve adherence to 10 clinical recommendations in primary care: A cluster randomized clinical trial. BMC Medical Informatics and Decision Making, 19(1). https://doi.org/10.1186/s12911-019-0976-8

Huhn, S., Axt, M., Gunga, H.-C., Maggioni, M. A., Munga, S., Obor, D., Sié, A., Boudo, V., Bunker, A., Sauerborn, R., Bärnighausen, T., & Barteit, S. (2022). The impact of wearable technologies in health research: Scoping review. JMIR MHealth and UHealth, 10(1), e34384. https://doi.org/10.2196/34384

Matthews, S. D., & Proctor, M. D. (2021). Public health informatics, human factors and the end-users. Health Services Research and Managerial Epidemiology, 8, 233339282110122. https://doi.org/10.1177/23333928211012226

Rowland, S. P., Fitzgerald, J. E., Lungren, M., Lee, E. (Hsieh), Harned, Z., & McGregor, A. H. (2022). Digital health technology-specific risks for medical malpractice liability. NPJ Digital Medicine, 5(1), 1–6. https://doi.org/10.1038/s41746-022-00698-3

Vos, J. F. J., Boonstra, A., Kooistra, A., Seelen, M., & van Offenbeek, M. (2020). The influence of electronic health record use on collaboration among medical specialties. BMC Health Services Research, 20(1), 676. https://doi.org/10.1186/s12913-020-05542-6