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).

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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