The Future of Healthcare Informatics Assignment
The Future of Healthcare Informatics Assignment
Write an essay addressing each of the following points/questions. Be sure to completely answer all the questions for each numbered item. There should be three sections, one for each item number below, as well as the introduction (heading is the title of the essay) and conclusion paragraphs. Separate each section in your paper with a clear heading that allows your professor to know which bullet you are addressing in that section of your paper. Support your ideas with at least three (3) scholarly citations using APA citations in your essay. Make sure to reference the citations using the APA writing style for the essay. The cover page and reference page do not count towards the minimum word amount. Review the rubric criteria for this assignment.
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Identify the current role of the informatics nurse and predict the future role of the informatics nurse, based on scholarly sources.
Explain what is meant by connected health. Provide three examples of connected health in today’s healthcare environment. Explain the benefits and drawbacks of each.
[elementor-template id="144964"]In what ways has informatics impacted public health – please provide at least three examples.
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Length: 1500 words total for this assignment.
Structure: Include a title page and reference page in APA style. These do not count towards the minimum word amount for this assignment. All APA papers should include an introduction and conclusion.2
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The Future of Healthcare Informatics Sample
Technological advancements are transforming the healthcare industry. Technology has drastically changed how healthcare functions and services are provided, including sophisticated computer systems to organize patient records and powerful robots that aid in surgery (Karattuthodi et al., 2021). As a result, both patients and healthcare providers now have unparalleled access to medical information. Additionally, communication routes have been streamlined, and wearable technology that enables real-time monitoring is being used (Li et al., 2021). Modern technology’s integration into the healthcare environment is to thank for these improvements. There is a progressive shift toward improved tools that increase efficiency in this industry as healthcare develops toward an integrated model where clinical staff collaborates with physicians to produce more efficient processes supported by technology (Haleem et al., 2022). This change has also increased the demand for qualified specialists, creating new jobs like informatics and nurse informatics. The essay discusses connected health, the diverse function of informatics nurses in this evolving environment, and the substantial impact of informatics on outcomes in public health.
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The Current and Future Role of the Informatics Nurse
The Current Role
In the current healthcare landscape, the role of the informatics nurse is pivotal in bridging patient care and technology. Beyond traditional nursing duties, these professionals have many responsibilities, including system development, training sessions, and meticulous data management (Alsyouf et al., 2022). The American Nurses Association recognizes informatics nurses as critical players in decision support, knowledge management, and essential automation tasks (Zareshahi et al., 2022). One important function they serve is mediating between IT professionals and frontline clinical staff to ensure the smooth integration of technology into everyday healthcare practices with maximum efficiency.
Nursing informatics professionals play a vital role in developing, implementing, and improving electronic health records. Their involvement ensures that these digital systems are designed with the needs of medical staff in mind while effectively managing comprehensive patient data (Kinnunen et al., 2019). Additionally, they provide crucial training to clinical personnel on navigating new tools or upgrades within the healthcare technology landscape. This is particularly important given the rapid advancements in this field. Nursing informatics professionals also contribute to quality assurance efforts by evaluating technological tools for efficacy and identifying areas for optimization or potential issues that may impact patient care.
Future Role
As the future of healthcare unfolds, it is clear that the position of informatics nurses is undergoing tremendous change. The duties of informatics nurses are shifting into analytical domains, including data analytics, predictive modeling, and the integration of artificial intelligence systems, as the healthcare industry becomes more data-centric. Academic discourse and scholarly conversations suggest these nurses may eventually move into specialized fields like clinical data science. In such positions, they are expected to tap into enormous patient data banks and turn them into insightful clinical knowledge that may guide well-informed medical decisions.
The emerging fields of genomics and personalized medicine will establish the continued significance of informatics nurses. These professionals will play a key role in integrating extensive genomic datasets with traditional patient records, offering a comprehensive and well-rounded understanding of patients’ backgrounds. Furthermore, as healthcare transitions towards a more patient-centered model, informatics nurses will lead the way by creating platforms that allow patients to access, comprehend, and control their health information. This could involve developing and managing patient-oriented portals or applications that promote collaborative approaches to healthcare. Ultimately, while the current responsibilities of informatics nurses are crucial in healthcare settings, their future commitments hold even greater strategic importance fueled by data analysis and an intensified focus on delivering individualized care. Their expertise lies at the core of the intertwined futures between healthcare provision and technological advancements.
Connected Health, Examples, and Implications
The concept of connected health embodies integrating technology with healthcare to enhance the delivery of services and improve patient outcomes. (Pattichis & Panayides, 2019) The process entails the utilization of digital resources to address disparities in conventional healthcare, hence promoting a dynamic and patient-centric approach (Awad et al., 2021). The ultimate objective is to enhance accessibility, efficiency, and personalization through seamless technology integration in clinical and domestic settings.
Examples
Telemedicine. Telemedicine is a contemporary method that enables healthcare providers to remotely consult with patients via video conferencing tools and dedicated platforms (Haleem et al., 2021). Its adoption has significantly increased, especially in response to global events like the COVID-19 pandemic. Telemedicine has effectively diminished geographical and logistical barriers impeding healthcare delivery (Haleem et al., 2021). Patients residing in remote areas or those facing mobility limitations can now access specialist consultations without needing physical travel. Despite its convenience and enhanced accessibility, telemedicine does encounter challenges, such as decreased diagnostic accuracy due to the absence of physical examinations and lingering concerns regarding data privacy and security during virtual consultations.
Remote Patient Monitoring. Remote Patient Monitoring (RPM) is a method that utilizes digital technologies to gather medical and health-related data from persons situated in one specific location (Khan et al., 2023). This data is then securely transmitted electronically to healthcare providers in a separate geographical area for assessment. Illustrative instances encompass wearable gadgets that track glucose levels, blood pressure, or cardiac rhythms. A notable benefit of Remote Patient Monitoring lies in its proactive methodology, enabling healthcare providers to consistently monitor patients in real-time and promptly intervene if any abnormalities occur. Nevertheless, it is essential to acknowledge that this approach does have some limitations. Challenges to successful monitoring can arise from data misinterpretation, device faults, or network outages.
Health Apps and Wearables. The increasing prevalence of smart devices has led to the popularity of health and fitness applications and wearable technologies such as smartwatches (Ferreira et al., 2021). These innovative solutions can monitor various aspects of health, such as sleep patterns and activity levels, and thus provide users with valuable insights into their overall health. Concerns persist, however, regarding the accuracy of the data produced by these technologies, as well as the potential risks associated with privacy violations and security breaches involving user data.
Implications
The emergence of connected health has the potential to revolutionize healthcare delivery by focusing on patients and utilizing data. This new approach offers the possibility of timely interventions, fewer hospital readmissions, and even cost savings in the long term. However, it also introduces certain risks, such as data breaches, misinformation from inaccurate devices, and an over-reliance on technology at the expense of human clinical judgment. As this sector continues to evolve, balancing these opportunities and challenges will be crucial to safeguard patients’ overall well-being.
The Impact of Informatics on Public Health
In the modern era, informatics and public health have significantly converged, which plays a vital role in shaping the ever-changing healthcare landscape (Williams et al., 2019). This integration has opened new avenues for delivering healthcare services, developing policies, and preventing diseases (Williams et al., 2019). By leveraging informatics, public health can effectively address health challenges, promote a better understanding of health information among individuals, and create comprehensive strategies for managing population-wide health concerns.
Enhanced public Health Surveillance
Public health informatics has played a crucial role in advancing the effectiveness of public health surveillance. Through the integration of automated data collection systems and sophisticated analytical tools, disease surveillance has undergone significant modernization (Williams et al., 2019). One notable example is syndromic surveillance systems, which leverage data from emergency departments to proactively identify possible outbreaks or threats to public health, enabling timely interventions. While this proactive approach has been pivotal in early detection and response efforts, it also brings about particular challenges, such as ensuring data accuracy, standardizing reporting procedures, and facilitating prompt dissemination of information.
Disease Tracking and Pandemic Management
Informatics has been pivotal in the field of infectious disease surveillance and control. An example is the real-time monitoring of outbreaks, as evidenced during the COVID-19 pandemic ( Clarkson, 2023; Ye, 2020). Data analytics were utilized through tools like the Johns Hopkins Coronavirus Dashboard to present global information in live updates visually (John Hopkins University, 2023). This informed the general public and greatly assisted governmental bodies and health organizations in formulating response strategies, allocating resources effectively, and making well-informed decisions. While there are numerous advantages – including quicker response times and improved resource allocation – ensuring accurate data reporting and consistency across various platforms presents challenges.
Optimization of Vaccination Drives
The introduction of information technology has substantially simplified vaccination campaigns (McKenna et al., 2023). Utilizing data analytics, predictive modeling, and digital monitoring systems, healthcare organizations can precisely execute vaccine distribution strategies, ensure storage requirements, manage appointments, and assess post-vaccination reactions (McKenna et al., 2023). Information technology has, for instance, facilitated the rapid production and distribution of COVID-19 vaccines from the research phase to the global market. Nonetheless, the enormous datasets involved raise concerns regarding data privacy, vaccine distribution equity, and managing the logistical challenges of such massive operations.
Integrating informatics and public health has brought about a significant transformation in healthcare. By utilizing data-driven approaches, informatics provides various tools to support and enhance public health initiatives, leading to increased efficiency and accuracy. However, this integration also presents challenges that must be addressed as the field evolves. Ensuring data integrity, privacy protection, and equitable resource distribution are crucial considerations for fully harnessing the potential of informatics in shaping the future of public health.
Conclusion
Within contemporary healthcare, informatics assumes a prominent role, serving as a fundamental element that closely combines the potential of technology with the principles of patient care. The synthesis described in the previous sections has enhanced the provision of services and redefined the scope of healthcare responsibilities, particularly in informatics nursing. The potential of telemedicine to overcome geographical limitations and the difficulties associated with monitoring real-time patient data highlight the intersection of health and technology, which offers both significant possibilities and inherent complications. The revolutionary potential of informatics and public health combined is exemplified by the resonance achieved through effective disease tracking and vaccination campaigns. However, finding a harmonious equilibrium between innovation and ethical deliberations is crucial as the healthcare business progresses. This entails ensuring that technology improvements perfectly align with the fundamental principles of patient care. The evolution of healthcare informatics presents a future characterized by promise and complexity, necessitating a balanced approach of appreciation and caution.
References
Alsyouf, A., Ishak, A. K., Lutfi, A., Alhazmi, F. N., & Al-Okaily, M. (2022). The role of personality and top management support in continuance intention to use electronic health record systems among nurses. International Journal of Environmental Research and Public Health, 19(17), 11125. https://doi.org/10.3390/ijerph191711125
Awad, A., Trenfield, S. J., Pollard, T. D., Ong, J. J., Elbadawi, M., McCoubrey, L. E., Goyanes, A., Gaisford, S., & Basit, A. W. (2021). Connected healthcare: Improving patient care using digital health technologies. Advanced Drug Delivery Reviews, 178(1), 113958. https://doi.org/10.1016/j.addr.2021.113958
Clarkson, M. D. (2023). Web-Based COVID-19 dashboards and trackers in the United States: Survey study. JMIR Human Factors, 10, e43819. https://doi.org/10.2196/43819
Ferreira, J. J., Fernandes, C. I., Rammal, H. G., & Veiga, P. M. (2021). Wearable technology and consumer interaction: A systematic review and research agenda. Computers in Human Behavior, 118, 106710. https://doi.org/10.1016/j.chb.2021.106710
Haleem, A., Javaid, M., Pratap Singh, R., & Suman, R. (2022). Medical 4.0 technologies for healthcare: Features, capabilities, and applications. Internet of Things and Cyber-Physical Systems, 2, 12–30. https://doi.org/10.1016/j.iotcps.2022.04.001
Haleem, A., Javaid, M., Singh, R. P., & Suman, R. (2021). Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors International, 2(2). https://doi.org/10.1016/j.sintl.2021.100117
John Hopkins University. (2023, March 10). Johns Hopkins Coronavirus Resource Center. Johns Hopkins Coronavirus Resource Center; Johns Hopkins University & Medicine. https://coronavirus.jhu.edu/map.html
Karattuthodi, M. S., Thorakkattil, S. A., Parakkal, S. A., Kuzhiyil, A. K., Subin, A. J., & Thahani. (2021). Certificates and certification programmes for clinical excellence: A guide to international pharmacists. Pharmacy Education, 845–854. https://doi.org/10.46542/pe.2021.211.845854
Khan, M. A., Din, I. U., Kim, B.-S., & Almogren, A. (2023). Visualization of remote patient monitoring system based on Internet of medical things. Sustainability, 15(10), 8120. https://doi.org/10.3390/su15108120
Kinnunen, U.-M., Heponiemi, T., Rajalahti, E., Ahonen, O., Korhonen, T., & Hyppönen, H. (2019). Factors related to health informatics competencies for nurses—results of a national electronic health record survey. CIN: Computers, Informatics, Nursing, 37(8), 420–429. https://doi.org/10.1097/cin.0000000000000511
Li, R., Wei, X., Xu, J., Chen, J., Li, B., Wu, Z., & Wang, Z. L. (2021). Smart wearable sensors based on triboelectric nanogenerator for personal healthcare monitoring. Micromachines, 12(4), 352. https://doi.org/10.3390/mi12040352
Mc Kenna, P., Broadfield, L. A., Willems, A., Masyn, S., Pattery, T., & Draghia-Akli, R. (2023). Digital health technology used in emergency large-scale vaccination campaigns in low- and middle-income countries: A narrative review for improved pandemic preparedness. Expert Review of Vaccines, 22(1), 243–255. https://doi.org/10.1080/14760584.2023.2184091
Pattichis, C. S., & Panayides, A. S. (2019). Connected health. Frontiers in Digital Health, 1. https://doi.org/10.3389/fdgth.2019.00001
Williams, F., Oke, A., & Zachary, I. (2019). Public health delivery in the information age: The role of informatics and technology. Perspectives in Public Health, 139(5), 236–254. https://doi.org/10.1177/1757913918802308
Ye, J. (2020). The role of health technology and informatics in a global public health emergency: Practices and implications from the COVID-19 pandemic. JMIR Medical Informatics, 8(7), e19866. https://doi.org/10.2196/19866
Zareshahi, M., Mirzaei, S., & Nasiriani, K. (2022). Nursing informatics competencies in critical care unit. Health Informatics Journal, 28(1), 146045822210838. https://doi.org/10.1177/14604582221083843
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