NHS FPX 6008 Assessment 1
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Identifying a Local Health Care Economic Issue
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Capella University
FPX 6008
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The growth in the use of digital health tools has also changed the manner in which healthcare professionals operate on a daily basis. Clinicians now have to learn to work in complex systems and make decisions based on extensive amounts of data, and apply technological wisdom to their choices. Despite the fact that it can aid in more precise diagnoses and tailored treatment plans, it also places an additional burden on health professionals who have to constantly evolve and to make use of new platforms and workflows. Consequently, the implementation of those technologies will be successful only when they are based not only on sufficient financing but also on sufficient training of healthcare providers and continuous support (Butt & Alghababsheh, 2025).
Healthcare Economic Issue
Implementation and the development of medical technologies are associated with incredibly high costs since the cost of developing and implementing medical technologies is really high, and healthcare providers develop and implement medical technologies (Donovan et al., 2023). The costs incurred in the execution of medical technologies are usually the construction of the infrastructure and the purchase of the software systems, and in some instances, hiring or retraining of personnel to be able to use and integrate with the newly installed systems. Accordingly, such medical technologies can elevate the quality and efficiency of care delivery, but due to their cost, they might not be accessible to health practitioners (Donovan et al., 2023).
Although some studies have demonstrated that medical technology translates to better patient outcomes, in most cases, it has brought with it new problems and concerns, especially in aspects of financial and long-term commitment. As an illustration, although the implementation of the EHR technology has brought significant benefits in the healthcare provision process, the constant amount of money organizations have had to invest to keep enjoying the fruits offered by EHR technology is a huge financial liability in the long term (Modi et al., 2024). Moreover, research indicated that as of 2017, 71% of U.S. hospitals were utilizing AI-based predictive analytics. This statistic implies that the increasing number of hospitals is actively engaging the newest technologies in the medical industry (ONC, 2025).
The Rationale for Selecting the Healthcare Issue
The question has a basic role in the quality, security, and sustainability of healthcare in the future. The last several years could be characterized by an overwhelming interest in innovation, and a variety of new technologies can be utilized to advance provider-patient communication, cut down medical errors, and get clinicians to use the technology to make more meaningful decisions (Thacharararodi et al., 2024). Even then, concerns are raised about what it would cost to roll these technologies out and maintain them. In this way, the impact of all these technologies on the quality of healthcare and its avenues is a valuable research area. The importance of understanding the impact of technology on the quality and accessibility of the Health System is especially given the reality that all of the factors mentioned above, and others not related to the mainstream, are additional obstacles to care.
Significant Impacts of Healthcare Economic Issues
Medical technology is developed in the Medical technology Industry, which comprises Healthcare Organizations, Clinical practice, and Healthcare professionals (HCP). It is likely that the new technologies would improve the quality of care and efficiency, yet new workloads are likely to emerge that the HCPs must handle to learn how to utilize the new tools and how to work with multiple digital tools. Moreover, the skills should be retained by HCPs. Introduction of the new medical technology, in its turn, has added an additional complexity to the practice, which adversely impacts the job satisfaction and performance of the HCPs (Jeilani and Husein, 2025).
Special issues are linked to the dilemmas of vulnerable groups (children, seniors, people with disabilities, and those of lower socioeconomic backgrounds) and issues associated with the implementation of the medical technological aspect (Thacharodi et al., 2024). All health facilities that deal with vulnerable communities may not necessarily have the funds to install the newest technology and, hence, will be more detached from the best care and even lower tend to be more unequal than the rest of the population.
Gap to Address the Healthcare Economic Issue
Most of the healthcare systems lack the finances to fund their adoption of new technologies and services, and that is one of the main reasons why this has become a reality (Huang et al., 2025). Smaller hospitals can scale up the usage of much more innovative technologies, including those of AI and machine learning, as it has already proved following the example of bigger hospitals (Huang et al., 2025).
The second reason why such a discrepancy exists between the availability of technology and its application in different healthcare systems is the fact that the process of technology adoption also varies across different systems (ONC, 2015). On the basis of such uneven distribution of the level of technological application, one may assume that both financial and institutional barriers to evenly distributed technological resources exist. So, the policies to strive in offering just distribution of the technological assets by changing the applications of the technology in health care frameworks are needed. In addition, the lack of training on how to implement such technologies and support might be a hurdle in their use. The healthcare systems will therefore not regard these technologies properly, and therefore their ability to bring efficiency in their operations and generate economic value will be frustrated.
Conclusion
One of the more complex issues of the US healthcare industry is the penetration and presence of medical technologies within our economy. These technologies have clearly increased patient outcomes and optimised hospital workflows, but they also have significant adverse effects, including being costly and inaccessible. Not only is this problem affecting the health care industry and health care organisations, but also the areas that do not have access to health care.
For 2nd (Next) Assessment of class NHS-6008: NHS FPX 6008 Assessment 2
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NHS-FPX 6008 Assessment 1
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References for
NHS FPX6008 Assessment 1
Below are references for NHS FPX 6008 Assessment 1:
Huang, H., Lyu, W., Hasan, M. M., & Houser, S. H. (2025). Adoption of machine learning in US hospital electronic health record systems: Retrospective observational study. Journal of Medical Internet Research, 27, e76126. https://doi.org/10.2196/76126
Jeilani, A., & Hussein, A. (2025). BioMed Central Health Services Research, 25(1). https://doi.org/10.1186/s12913-025-12414-4
Modi, S., Feldman, S. S., Berner, E. S., Schooley, B., & Johnston, A. (2024). Value of electronic health records measured using financial and clinical outcomes: Quantitative study. Journal of Medical Internet Research Medical Informatics, 12(1), e52524. https://doi.org/10.2196/52524
ONC. (2025, November 26). Hospital trends in the use, evaluation, and governance of predictive AI, 2023-2024. ASTP Health IT Research & Analysis. https://healthit.gov/data/data-briefs/hospital-trends-use-evaluation-and-governance-predictive-ai-2023-2024/
Thacharodi, A., Singh, P., Meenatchi, R., Ahmed, Z. H., Kumar, R. R. S., V, N., Kavish, S., Maqbool, M., & Hassan, S. (2024). Health Care Science, 3(5), 329–349. https://doi.org/10.1002/hcs2.115
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