For Assignment #2, you will be adding a narrative literature synthesis/evidence summary table to the first section of your paper completed in Assignment #1. In this assignment, you will be summarizing the literature that you reviewed related to your selected topic in a formatted literature review table that will be included as an appendix in your final paper. Then you will summarize/synthesize the findings from your review in narrative format to be included in the main body of your paper. You will be provided with feedback about the literature you reviewed and your written synthesis. Any feedback received related to any of the assignment grading rubric elements is expected to be incorporated into the final course paper. For this assignment, you will be adding to the first section of your paper turning in the following as one merged document:
- Section #1: Technology Description (incorporating any instructor feedback)
- Narrative Literature Synthesis: a summary/analysis of the key findings/conclusions from the reviewed literature summarized in the evidence summary table. The summary should address all articles listed in the evidence summary table. The narrative synthesis should represent the key themes identified across all literature represented in your evidence summary table.
Evidence Summary Table
Must include a minimum of 5 and no more than 10 articles.
- Use the following template to format your evidence summary table: NGR 7820 Evidence Summary Table Download NGR 7820 Evidence Summary Table
Articles included in the narrative summary and table must meet the following criteria:
- Peer- reviewed
- Published within the past 5 years
- Primary research studies, meta-analyses, meta-syntheses, national clinical practice guidelines, or primary quality improvement projects. Published systematic, narrative, or integrative literature reviews are not acceptable articles for this assignment!
Selected articles are to be rated for their level of evidence. You may use the tool provided below, or one of your own choosing:
- Johns Hopkins Nursing Evidence-Based Practice: Evidence Level and Quality Guide Download Evidence Level and Quality Guide
- Johns Hopkins Nursing Evidence-Based Practice: Research Appraisal Tool Download Research Appraisal Tool
- Johns Hopkins Nursing Evidence-Based Practice: Non-research Evidence Appraisal Tool Download Non-research Evidence Appraisal Tool *Note – literature reviews, and / or integrated literature reviews are not appropriate for this assignment.
- The evidence summary table will be incorporated into your paper as an appendix to follow the references section of your paper (see below formatting).
- Must include a minimum of 5 and no more than 10 articles.
For Assignment #2, you will be adding a narrative literature synthesis/evidence summary table to the first section of your paper completed in Assignment #1. In this assignment, you will be summarizin
ASSIGNMENT #1: APPLICATION OF ELECTRONIC HEALTH RECORDS TELEHEALTH TO CONTROL DIABETES AMONG THE IMMIGRANTS Name University NGR 7820 Innovative Technologies In Healthcare Dr. Valerie Morrison February 7, 2022 Assignment #1: application of Electronic Health Records telehealth to control diabetes among the immigrants Introduction The world’s economies are currently exposed to the financial crisis; therefore, people from relatively poor performing economies are migrating into the US and other booming economies due to unemployment and poor leadership within their home countries. However, these immigrants sometimes may enter the US without proper diagnosis and checkups, which increases stress on our current healthcare organizations already overwhelmed by growing patients. Therefore, governmental officials must create a database and properly track whether patients are healthy before formally entering the US. Immigrants need to understand their health matters before moving into foreign countries to work. Therefore the EHRs (electronic health records) technology will be vital for this role. Thus, the EHRs are a digital version of the patient’s chart and medical diagnosis. These records are always available and patient-centred. Some information contained under the EHRs includes the diagnosis, medication, treatment options, allergies, lab results etc. these records will ensure there is adequate information regarding the patient’s diabetic history before entering the US. Artzi et al. (2020). Description of EHRs (literature review) As stated earlier, the EHRs is a computerized version of the former patient’s record chart; through these records, healthcare professionals can find and update current patients’ healthcare records instantly. Through the EHRs, nurses may find patients’ history, diagnosis, treatment options, medications, etc., which are considered before making any healthcare decisions. EHRs technology has also helped reduce medical errors when the entire patient’s information is incorporated into a single page. The essential feature of this technology is being created and shared between several healthcare providers. Additionally, different entities within a single healthcare center like the imaging, laboratory, pharmacies, emergency, school, and other departments may share information to make relevant healthcare decisions for the patient. Implementing the EHRs technology is often technical and is done in the following steps; firstly, selecting the EHRs technology that suits the organizational needs and will bring maximum benefits. The EHRs may include cloud-based, locally hosted. The second step is selecting the EHRs software and vendor, implementing the EHRs and optimizing the technology. The supporting hardware required for EHRs implementation includes a processor of 2.5 GHz, RAM of 2 GB, an internet connection speed of three MB/S screen resolution of 1600 *1200. It works perfectly on all browsers like Chrome, Safari and Microsoft edge; however, chrome is the most preferred. Nguyen et al. (2019). Description of application The current healthcare records available to the public depend on the information base robustness. Therefore for the government to adequately respond to infectious and acute diseases, there should be adequate information on the condition available to the public. During the conventional era, the government relied on the mail and telephone calls to collect information regarding patients; however, with the coming of EHRs technology, this has been made easier especially accessing one’s records despite their home country. Through EHRs, the practice of injury investigation, health surveillance, policy development, quality assurance and control has been improved gradually. The patients are likely to benefit much from the ready information of their healthcare records; additionally, it will help support agencies. There are numerous health records when a person immigrates to the US, although it’s possible not to note those with illnesses like diabetes. Therefore through EHRs, the immigration agents can log into the patient’s account and check whether they have impending diabetes illness. This will gradually help deny entry to patients with diabetes before they seek healthcare assistance, reducing the current stretch in our healthcare facilities. The technology will also be used to check for patients requiring immediate care, especially if they fail to take their medications or when their conditions are worsening. Tutty et al. (2019). Abstract placeholder Currently, the number of immigrants into the US from poorly performing economies like Mexico, China, India, and Africa has been increasing significantly, especially for our job markets. However, some immigrants may have impending conditions that may not be noted when filling their immigration records. Therefore, I recommend applying EHRs to gradually ensure that diabetic patients seek healthcare before entering the US. Through the EHRs, the patient’s records like diagnosis, treatment, allergies, medicines etc., can be accessed in real-time by immigration officials. This will ensure the patient’s wellbeing is considered. Nordo et al. (2019). References Artzi, N. S., Shilo, S., Hadar, E., Rossman, H., Barbash-Hazan, S., Ben-Haroush, A., … & Segal, E. (2020). Prediction of gestational diabetes based on nationwide electronic health records. Nature medicine, 26(1), 71-76. https://weizmann.esploro.exlibrisgroup.com/view/delivery/972WIS_INST/1273986860003596/1373986850003596 Nguyen, B. P., Pham, H. N., Tran, H., Nghiem, N., Nguyen, Q. H., Do, T. T., … & Simpson, C. R. (2019). Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records. Computer methods and programs in biomedicine, 182, 105055. https://www.sciencedirect.com/science/article/pii/S016926071930327X Nordo, A. H., Levaux, H. P., Becnel, L. B., Galvez, J., Rao, P., Stem, K., … & Kush, R. D. (2019). Use of EHRs data for clinical research: Historical progress and current applications. Learning health systems, 3(1), e10076. https://onlinelibrary.wiley.com/doi/abs/10.1002/lrh2.10076 Tutty, M. A., Carlasare, L. E., Lloyd, S., & Sinsky, C. A. (2019). The complex case of EHRs: examining the factors impacting the EHR user experience. Journal of the American Medical Informatics Association, 26(7), 673-677. https://academic.oup.com/jamia/article-pdf/26/7/673/34151462/ocz021.pdf