NUR 514 Assignment Emerging Technology Brief
NUR 514 Assignment Emerging Technology Brief
One of the emerging technologies that the author believes will have a significant impact on barriers to healthcare is the Internet of Medical Things (IoMT). Accordingly, IoMT refers to medical infrastructure that consists of software, sensors, healthcare IT systems and medical devices that are utilized in medical monitoring, testing, as well as diagnostics. The use of this infrastructure can help the healthcare provider a well as the patient to monitor and inform them on the actual data on potential issues that could result in health problems. Through it, potential health problems are averted before they occur (Balas et al., 2019). An example is the use of skin sensors for blood glucose where diabetic patients are installed with sensors that monitor their blood glucose levels. The sensors notify the patient and healthcare provider incidences of low or high blood glucose levels and the need for an immediate action. In some cases, the sensors deliver insulin depending on the blood glucose levels. Through this mechanism, health problems such as diabetic coma and hypeglycemia and prevented prior to their occurrence in patients suffering from diabetes.
I enjoyed reading your post. Technology has been continuously evolving and expanding. This transition has created a unique time for healthcare. Health informatics can help to improve the quality, safety, and cost of care, so the implementation of new technology is essential for the future development of healthcare (DeNisco, 2021). For this implementation to be successful, nurses must participate in the expansion of technology and provide feedback. Organizations, such as the American Nursing Informatics Association (ANIA), help to make this possible by advancing nursing informatics and providing numerous resources (American Nursing Informatics Association [ANIA], 2022). This organization offers great benefits to nurses through conferences, professional journals, review courses and certification, and networking opportunities. Utilizing the resources provided by ANIA will not only help to further develop nursing, but healthcare as a whole.
The other way in which the technology could function in healthcare is the management of health problem that affect the elderly populations. The elderly are at a risk of problems such as cardiovascular, renal, and respiratory and memory loss problems. The technology proves significant to these populations. For instance, sensors can be used to monitor their blood pressure and immediate actions taken in case of any deviations from the normal range (Stegemann, 2016). Similarly, they can be used to monitor their adherence to medication and notifications sent to them in cases where they forget their medical regimen.
The use of IoMT technology in health is however associated with some legal and ethical issues. One of them is the issue of privacy. Scholars argue that the use of such emergent technologies might violate one’s right to privacy. The system information can be accessed by third parties, thereby, weakening their use in the modern world. The other issue is safety concern. The long-term effects of the monitors are yet to be established. There is the concern that too much monitoring might be unhealthy as it raises individual focus on slight health issues that might be of less concern to them (Keramidas, Voros & Hübner, 2017). Therefore, these issues need to be addressed for the emerging technologies to be relevant in the modern practice of healthcare.
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IoMT will improve access to care and patient safety in several ways. Firstly, it ensures that the patient and healthcare provider interact constantly on healthcare issues affecting them. The healthcare provider will always be in contact with the patient in case of a notification of an impending health problem (Le et al., 2018). The access to care is also enhanced due to the efficiency in which decisions are made. The easy availability of the patient’s data ensures that healthcare providers can collaborate with ease in determining the healthcare needs of the patients. The monitoring of the patient’s physiological status also promotes safety since health problems are identified before they occur. Besides, incidences of poor adherence to treatment are identified earlier, which leads to minimal occurrences of complications associated with the conditions being managed (Vermesan & Bacquet, 2017). Therefore, it makes it apparent that emerging technologies such as IoMT will eliminate barriers that affect the quality, access, and safety of care given to those in need in the society.
Balas, V. E., Solanki, V. K., Kumar, R., & Ahad, A. R. (2019). A handbook of internet of things in biomedical and cyber physical system. Cham: Springer.
Keramidas, G., Voros, N., & Hübner, M. (2017). Components and services for IoT platforms: Paving the way for IoT standards. Cham: Springer.
Le, D.-N., Le, C. V., Tromp, J. G., Nguyen, N. G., & Wiley InterScience (Online service). (2018). Emerging technologies for health and medicine: Virtual reality, augmented reality, artificial intelligence, internet of things, robotics, industry 4.0. Beverly, MA: Scrivener Publishing.
Stegemann, S. (2016). Developing drug products in an aging society: From concept to prescribing. Cham: Springer International Publishing.
Vermesan, O., & Bacquet, J. (2017). Cognitive hyperconnected digital transformation: Internet of things inteligence evolution. Delft: River Publishers.
Modern health care is highly patient-centered and relies heavily on technology to enhance patient outcomes. To respond to patient issues as deserved and predict illness patterns, health care providers need to store and secure the available data. As a result, the use of sophisticated and emerging technologies in health care is on the rise. As reviewed in this brief, cloud computing is among the emerging technologies with profound impacts on health practice.
Technology Overview and Purpose
A health care cloud represents a computing service that health care providers use to store, maintain, and back up health information. If differently stated, cloud computing has much to do with delivering computer services such as databases, networking, analytics, servers, and storage over the internet. Concerning the purpose of cloud computing, Gao et al. (2018) described cloud computing as a technology for optimizing data storage, management, and processing remotely instead of using typical servers. Democratization of data is more convenient through cloud computing, and the transition of artificial intelligence into mainstream health care processes is also easier through cloud computing.
How Cloud Computing Would Function in a Health Care Setting and Issues
In health care settings, cloud computing offers an avenue for managing and analyzing data. At a time when health care organizations deal with volumes of electrical health records and big data analytics, cloud computing enables health care organizations to store patient data as they avoid costly storage associated with physical servers. Dang et al. (2019) further mentioned that cloud computing is critical in boosting cooperation between health care providers to optimize patient care. Accordingly, its use would lead to a scenario where health care providers collaborate and work in teams as they share essential patient data conveniently. Despite these benefits, cloud computing is associated with legal issues. The security of patient data is a genuine concern as far as cloud computing is concerned (Smys & Raj, 2019). There is a widespread worry about having apps and patient data in third-party servers, considering that health care organizations should comply with regulations related to data portability and security, such as the US’s Health Insurance Portability and Accountability Act (HIPAA).
The use of AI as a powerful technology brings a whole new set of ethical and legal issues concerning different aspects like safety, privacy and preferences. Patients may not embrace this technology since it means that their information and data is accessible and can be interpreted for different purposes without their explicit authorization. Many patients are still apprehensive of the current COVID-19 monitoring and tracking apps that different health organizations and governments are using to access their movement. There will be some limits of patients who full do not understand how AI can help improve their health and confer benefits (OECD, 2020). The implication is that there is need for increased awareness among providers and patients on the critical role of AI in healthcare and how it can help in reducing adverse events for those with chronic conditions like diabetes. The legal aspects of AI also require streamlining to ensure that patients’ health information is not comprised and used for purposes other than health care improvement and quality care.
Informatics Nurse’s Role Concerning Artificial Intelligence
The informatics nurse plays a critical role in information dissemination and use of health information technologies for effective care delivery and innovation models. The use of artificial intelligence (AI) in health care is a demonstration of innovative models that providers and organizations are leveraging to enhance quality care outcomes for patients, especially at this pandemic time (Pee et al., 2018). Therefore, informatics nurses are experts who provide advice to their organizations and help in setting up systems to incorporate the AI technology for quality care and better services. The nurse informatics role is to ensure that facilities leveraging on AI adhere to the existing legal protocols and laws as well as embrace ethical values to protect patient information (Booth et al., 2021). Nurse informaticsts have a duty to use the most appropriate channels to offer better software and hardware to ascertain that AI works for patients and organizations based on the set goals and objectives.
Role of Workflow Analysis, Human Factors & User-Centered Design Concepts
Workflow analysis and human factors are critical to the overall success of artificial intelligence in health care. The analysis of the workflow allows providers to identify areas that need improvement and can benefit from AI technologies while human factors like human resource availability ensure that facilities have requisite abilities and expertise to roll out better technologies to improve care provision. The user-centered design concept means that AI should confer benefits to the users, especially patients and not the healthcare providers alone (Islam et al., 2021). In this case, the ultimate focus should be increased benefits for all stakeholders based on the features that AI provides when integrated into the health system and network.
Cloud Computing: Access to Care, Patient Safety and Care Quality
Present-day’s health practice is more patient-centered, data-driven, and value-based. Through cloud computing, health care providers can improve access to care by enabling remote interactions and access to patients (Gao & Sunyaev, 2019). By fostering collaboration between doctors, departments, and health care organizations, cloud computing enables health care providers to save diagnosis and treatment time since data is quickly accessible. Quick response enhances patient safety. The quality of care also improves when collaboration is high and data accessible when needed to guide diagnosis, treatment, and self-management.
In conclusion, data is an essential component of safe and quality health care and should be secured and shared among the right professionals. Collaboration is essential to optimize patient outcomes. As modern health practice continues to be more data-centered, cloud computing is critical and should be adopted to enable safe data storage and make its management more convenient. It is among the emerging technologies in health care with profound impacts, primarily on issues to do with access, safety, and quality of care.
Dang, L. M., Piran, M., Han, D., Min, K., & Moon, H. (2019). A survey on internet of things and cloud computing for healthcare. Electronics, 8(7), 768. https://doi.org/10.3390/electronics8070768
Gao, F., Thiebes, S., & Sunyaev, A. (2018). Rethinking the meaning of cloud computing for health care: A taxonomic perspective and future research directions. Journal of medical Internet research, 20(7), e10041. doi:10.2196/10041
Gao, F., & Sunyaev, A. (2019). Context matters: A review of the determinant factors in the decision to adopt cloud computing in healthcare. International Journal of Information Management, 48, 120-138. https://doi.org/10.1016/j.ijinfomgt.2019.02.002
Smys, S., & Raj, J. S. (2019). Internet of things and big data analytics for health care with cloud computing. Journal of Information Technology, 1(01), 9-18. https://doi.org/10.36548/jitdw.2019.1.002
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