Literature Review: The Use of Clinical Systems to Improve Outcomes and Efficiencies New technology
Assignment: Literature Review: The Use of Clinical Systems to Improve Outcomes and Efficiencies New technology—and the application of existing technology—only appears in healthcare settings after careful and significant research. The stakes are high, and new clinical systems need to offer evidence of positive impact on outcomes or efficiencies. Nurse informaticists and healthcare leaders formulate clinical system strategies. As these strategies are often based on technology trends, informaticists and others have then benefited from consulting existing research to inform their thinking. In this Assignment, you will review existing research focused on the application of clinical systems. After reviewing, you will summarize your findings. To Prepare: Review the Resources and reflect on the impact of clinical systems on outcomes and efficiencies within the context of nursing practice and healthcare delivery.
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Conduct a search for recent (within the last 5 years) research focused on the application of clinical systems. The research should provide evidence to support the use of one type of clinical system to improve outcomes and/or efficiencies, such as “the use of personal health records or portals to support patients newly diagnosed with diabetes.” Identify and select 4 peer-reviewed research articles from your research. For information about annotated bibliographies, visit https://academicguides.waldenu.edu/writingcenter/assignments/annotatedbibliographies The Assignment: (4-5 pages not including the title and reference page) In a 4- to 5-page paper, synthesize the peer-reviewed research you reviewed. Format your Assignment as an Annotated Bibliography. Be sure to address the following: Identify the 4 peer-reviewed research articles you reviewed, citing each in APA format. Include an introduction explaining the purpose of the paper. Summarize each study, explaining the improvement to outcomes, efficiencies, and lessons learned from the application of the clinical system each peer-reviewed article described. Be specific and provide examples. In your conclusion, synthesize the findings from the 4 peer-reviewed research articles. Use APA format and include a title page. Use the Safe Assign Drafts to check your match percentage before submitting your work.
Annotated Bibliography
The use of clinical systems to enhance outcomes and efficiency via new and existing technologies only arises in healthcare settings after thorough research. The stakes are high, and new therapeutic strategies must demonstrate proof of a favorable influence on outcomes or efficiency. This study aims at synthesizing four peer-reviewed studies discussing the improvement of technological results, efficiencies, and lessons gained through the deployment of the clinical system presented in each article.
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Land, K. J., Boeras, D. I., Chen, X. S., Ramsay, A. R., & Peeling, R. W. (2019). REASSURED diagnostics to inform disease control strategies, strengthen health systems and improve patient outcomes. Nature microbiology, 4(1), 46-54. https://doi.org/10.1038/s41564-018-0295-3
This article examines the ASSURED criteria as an ideal system that may be utilized in all health care systems to guide treatment and clinical handling choices based on their affordability, specificity, and user-friendliness. Advances in the diagnostic criteria have resulted in improved results, which are required as screening implements to guarantee that all genuine or suspicious cases are conveyed to the consideration of control programs and correctly handled (Land et al., 2019). For example, since antibodies are existing in enormous amounts in the blood, tests based on antibodies, such as those for HIV and hepatitis C virus, are susceptible; blood samples may be taken by simple finger prick and tested immediately. The method is effective since it is simple and does not require much training. Lessons from the Assured criteria application over the last decade include the potential for incorporating additional factors into devices and tests that were not contemplated or accessible when the criteria were initially defined (Land et al., 2019). These criteria should be revised, and the authors suggest using the abbreviation REASSURED when developing next-generation diagnostic tests to deal with pressing issues, including global health crises and antimicrobial resistance (AMR).
Kruse, C. S., & Beane, A. (2018). Health information technology continues to show a positive effect on medical outcomes: a systematic review. Journal of medical Internet research, 20(2), e8793. https://doi.org/10.2196/jmir.8793
There are a variety of technologies that may be used to save, distribute, and analyze health information, according to this article. Because of this, HIT can have an impact on service quality and provider output. Eighty-one percent of the authors’ studies showed that using HIT enhanced medical outcomes in terms of efficiency or efficacy (Kruse & Beane, 2018). Since HIT can enhance health care quality and safety, it is an effective tool. Improved medical results may help healthcare organizations secure their long-term viability. New and inventive approaches to incorporate technology improvements and strive toward improved interoperability have been learned via using HIT.
Panch, T., Szolovits, P., & Atun, R. (2018). Artificial intelligence, machine learning, and health systems. Journal of global health, 8(2). https://doi.org/10.7189%2Fjogh.08.020303
Artificial Intelligence (AI) has the potential to alter health systems and help achieve universal health care (UHC) by enhancing efficiency, effectiveness, equality, and receptiveness of public wellbeing and health care services. This article examines these possible uses. Even while the quality and extent of treatment would likely expand significantly, the cost of care may remain relatively constant (Panch et al., 2018). Using machine learning, data curation, trust, and data management will be more efficient, collaboration with technology businesses will be possible, more accountability will be in place, and the capability to manage strategic change will be increased. The findings of this article show that high-resolution clinical data sets, procedures for data sharing, and collaborative research that prove effectiveness and safety provide an opportunity to foster machine learning advancement (Panch et al., 2018). The lack of leadership in health systems prevents AI from achieving its full potential. Policymakers and people, as well as patients and doctors, must take the lead in this effort.
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Kraus, S., Schiavone, F., Pluzhnikova, A., & Invernizzi, A. C. (2021). Digital transformation in healthcare: Analyzing the current state of research. Journal of Business Research, 123, 557-567. https://doi.org/10.1016/j.jbusres.2020.10.030
A comprehensive review of the literature on digitalization in health care (HC) is presented in this article. It identifies HC stakeholders’ important managerial and commercial uses of DT technology and suggests a viable future study topic. Health care data analytics and operational process optimization via electronic medical records (EMR) systems have improved outcomes due to DT (Kraus et al., 2021). Customer-centeredness in health care is being redefined due to the convergence between health care and information technology. For patients, providers and insurers alike, the technology is efficient because it enables a move to digital health care models, changing patient experience and increasing results for all parties involved. The lesson learned is that research on business model transformation and its consequences for managing various interest groups is fundamental to constructing a more holistic perspective of the DT in HC.
Conclusion
After reviewing the four articles, it is clear that clinical systems are widely used to enhance results and efficiency by using both new and old technologies. To guarantee that all genuine and suspected cases are brought to the notice of control programs and correctly handled, the use of ASSURED criteria, as stated by Land et al. (2019), has improved the results of successful POC testing. Health information technology (HIT) can enhance the quality and safety of health care services if incorporated into the ASSURED system (Kruse & Beane, 2018). To perform technically better, such systems need artificial intelligence and machine learning (Panch et al., 2018). More research and development into digital transformation in healthcare are required to achieve better health for all people.
References
Kraus, S., Schiavone, F., Pluzhnikova, A., & Invernizzi, A. C. (2021). Digital transformation in healthcare: Analyzing the current state of research. Journal of Business Research, 123, 557-567. https://doi.org/10.1016/j.jbusres.2020.10.030
Kruse, C. S., & Beane, A. (2018). Health information technology continues to show a positive effect on medical outcomes: a systematic review. Journal of medical Internet research, 20(2), e8793. https://doi.org/10.2196/jmir.8793
Land, K. J., Boeras, D. I., Chen, X. S., Ramsay, A. R., & Peeling, R. W. (2019). REASSURED diagnostics to inform disease control strategies, strengthen health systems and improve patient outcomes. Nature microbiology, 4(1), 46-54. https://doi.org/10.1038/s41564-018-0295-3
Panch, T., Szolovits, P., & Atun, R. (2018). Artificial intelligence, machine learning, and health systems. Journal of global health, 8(2). https://doi.org/10.7189%2Fjogh.08.020303