Intervention Presentation and Capstone Video presentation
Hi, I’m Dinie, and I’m here to present an evidence-based action plan and intervention for a developing country. This intervention’s goal is to assist people with diabetes in enhancing their quality of life and physical well-being. In order to provide digitized healthcare solutions, the American Diabetes Association (ADA) and Food and Drug Administration (FDA) utilize digital monitors and insulin systems, such as glucose meters, insulin syringes, and blood glucose testing monitors. This multimedia presentation will also cover the significance of nurse education in diabetes care (Fleming et al., 2019).
Scenario for Capstone Video presentation
The proposed audience for this project was those who had type two diabetes. Due to excessive blood pressure and sugar levels, Anne, a 40-year-old woman, was brought into the ER. her condition was serious because she had no idea about regarding quality care and diabetes self-management. Villa hospital accommodated the workshop on November 3, 2022. All ethical considerations and standards were followed during eight hours meeting time. My patient was suffering from a variety of illnesses, including uncontrolled type 2 diabetes for four years. She also had some other issues related to blood pressure and chest issues, and psychiatric illnesses (Fleming et al., 2019).
Due to a lack of self-management training, Anne had visited the hospital four or five times in the earlier month, but his condition had gotten worse. In my capstone project, I’ll outline techniques for effectively resolving the health diagnosis. The organization used digital equipment and tools for glucose monitoring, such as glucometers, insulin pens, and meters, as well as evidence-based approaches to provide a digital healthcare solution. In two hours, meetings, we also discuss nurses’ roles and how they can effectively provide patients with better care and avoid hospital mismanagement (Sharma & Singh, 2018).
Evidence and Peer-Reviewed Literature to Plan and Implement a Capstone Project
Technology developments in the field of diabetes are unstoppable. They present opportunities to enhance patient outcomes through the authorization of self-management by the patient. These technologies must be successfully utilized to achieve better healthcare outcomes and cost-effective treatment. Technology is being used by people with diabetes and healthcare professionals to increase clinical results and patient quality of life (Sharma & Singh, 2018). Examples of these technologies include associated blood glucose meters, glucometers, insulin pens, computerized insulin delivery mechanisms, and data-sharing tools. Telemedicine, telemonitoring, and smartphone mobile applications are also some technological applications that help patients connect with doctors (Nadeem et al., 2021).
Nursing education will also be enhanced by managing diabetes and using technical involvement. Healthcare technologies and tools can all be created with the help of decision support software, which collects data, organizes it, analyzes it, and can spread it to end users, including patients, their families, and medical professionals. Healthcare technologies have the power to increase people’s access to self-care. It also grants patients full freedom, modifies their attitudes and behaviors, and helps them resolve their medical health issues (Fleming et al., 2019).
Technologies help patients reduce their perception of the burden of diabetes and improve their quality of life. Technology tools get more user-friendly and efficient at performing automatic tasks. Additionally, new choices for patient insulin delivery are made possible by technology. Many patients who are suffering from diabetes find that these technologies, such as syringes and pre-loaded pens, work well and that continuous subcutaneous insulin injections are beneficial in self-management and also in the healthcare system to improve patient outcomes. The insulin pumps are easy to use. These pumps have push-button control panels (Nadeem et al., 2021).
In order to discuss health issues, patients and his family immediately connect with healthcare technologies. Examples of the first kind of interaction include live audio-video sessions between a patient and a healthcare professional. Sequential meetings can take the form of mobile applications or digital instructional programs. They also use emails or texts and remote interpretation of previously delivered content to communicate with healthcare professionals to discuss any health-related issue (Subramanian & Sreekantan Thampy, 2021).
Health Strategy Influenced the Planning and Implementation of Capstone Project
To control diabetes, healthcare technologies are constantly improving. The load on nurses and other healthcare professionals is decreasing as a result of this technology. To get the most benefit from the use of this diabetic technology, the patient and healthcare provider need to be aware of the unmet needs in diabetes treatment. To maximize the advantages of these devices and reduce costs, they must be used as effectively as possible. It is only possible if the nurses and patients receive diabetes education and training. To achieve better patient care goals, help in making decisions, plans, and actions for healthcare outcomes is influenced by health policies (Bhatia et al., 2020).
I studied several patient safety and quality-improving practices. In order to better understand how these laws affected nursing practice and the use of technology in the healthcare system, I also started to look into telehealth and Medicare beneficiaries’ services, the ACA, HIPAA rules and regulations, the Nurse Code of Ethics, and the scope of responsibility while collaborating on this assignment. To protect patient privacy and safety, the HIPAA security rule sets some boundaries for technology use in healthcare organizations. The ACA also helps to support the development of novel medical care delivery techniques, especially for patients who live alone or in small communities (Bhatia et al., 2020).
Planning and implementation of capstone project
The above-mentioned patient’s assessment outcomes were evaluated by using the suggested medicine and intervention strategies. Management standards are inspected in light of enhanced digital healthcare technologies and nurses’ patient care for a better healthcare outcome. To provide digital health solutions through the use of technologies and other digital devices, such as glucose monitoring and insulin devices that use real-time data and blood glucose test, monitors (Pieczynski et al., 2021). Patients who live in communities or live alone and are unable to visit hospitals have transportation issues that were also resolved by using these technologies. The standard of the patient’s care and the patient’s condition were both greatly improved by educating them on self-management care and the use of diabetes technologies (Pieczynski et al., 2021).
Personal And Professional Growth and The RN To BSN
It is important to grow professionally that can fully comprehend the work to be done. Throughout working life, it involves developing the skills required to perform as effectively as possible. Nurses need to maintain the highest level of knowledge and understanding in the field of specialization for the job is important for a better patient healthcare outcome. For better healthcare outcomes, patients and healthcare professionals need to achieve the outcomes demanded by work and by life in general (Subramanian & Thampy, 2021).
A framework that focuses on the unique needs of the patient and is compliant with administrative criteria can favorably improve patient outcomes and clinical workforce engagement. This initiative has helped me to enhance my skills as a nurse and transition from RN to BSN. I also learned about the role of nurses in medical errors by looking at the errors made by other nurses in situations like these. In the future, I’ll take care to avoid making the same errors. I will try my best to treat patients at my organization. I’ll be able to improve the patient’s general state of healthcare by doing this and avoiding the errors the nurses commit in the healthcare organization during the treatment of a diabetic patient (Davis et al., 2020).
The BSN program helps me to collaborate on different solutions for the healthcare sector by utilizing the shared resources of healthcare administrations (Davis et al., 2020). The BSN program helps me to collaborate in different solutions for the healthcare sector by utilizing the shared resources of healthcare administrations (Davis et al., 2020).
References
Fleming, G. A., Petrie, J. R., Bergenstal, R. M., Holl, R. W., Peters, A. L., & Heinemann, L. (2019). Diabetes digital app technology: benefits, challenges, and recommendations. a consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) diabetes technology working group. Diabetes Care, 43(1), 250–260.
https://doi.org/10.2337/dci19-0062
Davis, G. M., Galindo, R. J., Migdal, A. L., & Umpierrez, G. E. (2020). Diabetes technology in the inpatient setting for management of hyperglycemia. Endocrinology and Metabolism Clinics of North America, 49(1), 79–93.
https://doi.org/10.1016/j.ecl.2019.11.002
Subramanian, G., & Thampy, A. (2021). Implementation of blockchain consortium to prioritize diabetes patients’ healthcare in pandemic situations. IEEE Access, 9, 162459–162475.
https://doi.org/10.1109/access.2021.3132302
Nadeem, M. W., Goh, H. G., Ponnusamy, V., Andonovic, I., Khan, M. A., & Hussain, M. (2021). A fusion-based machine learning approach for the prediction of the onset of diabetes. Healthcare, 9(10), 1393.
https://doi.org/10.3390/healthcare9101393
Pieczynski, J., Kuklo, P., & Grzybowski, A. (2021). The role of Telemedicine, in-home testing and artificial intelligence to alleviate an increasingly burdened healthcare system: Diabetic retinopathy. Ophthalmology and Therapy, 10(3), 445–464.
https://doi.org/10.1007/s40123-021-00353-2
Sharma, N., & Singh, A. (2018). Diabetes detection and prediction using machine learning/IoT: A survey. Communications in Computer and Information Science, 471–479.
https://doi.org/10.1007/978-981-13-3140-4_42
Bhatia, M., Kaur, S., Sood, S. K., & Behal, V. (2020). Internet of things-inspired healthcare system for urine-based diabetes prediction. Artificial Intelligence in Medicine, 107, 101913.
