The Impact of Communication Technology on Diabetes

The Impact of Communication Technology on Diabetes Management

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Introduction

According to some sources in the United Kingdom, about 81% of some of the premature health diseases like type 2 diabetes could be shunned easily by performing prevention and health promotion to the public. Therefore, communication technology has a significant impact on the health care systems especially for the individual with diabetes (Bu & Middleton, 1137-1142). The most imperative are; accessibility to the patients, its economy, the quality of care and perhaps the education aspect.

The economic aspects

Most of the healthcare globally is faced with the constant rising costs as a result of the chronic conditions. Based on the research carried out in Germany, diabetes cost about 10% of the national health insurance spending (Tomasi & Maia, 867). This cost is perhaps so much to the government and also the patients with diabetes which is then transferred to the health care departments. To reduce the cost, new technological advances and telemedical appliances are getting more and more useful to the medical centers. For example, the e-health systems such as the electronic health records were implemented to decrease the expenditure as a result of the dual therapy that was being done before. Based on the improvement, now the nurse can perform one therapy on the patient with diabetes and the records kept in the electronic databases to enable future responses. The development of ‘’ mobi diab’’ systems in the health care are used as standalone hospital information which is applied in the treatment and therapy of the diabetes patients (Chomutare & Hartvigsen, 65).

Accessibility

The communication technology has impacted the health care departments and the patients from different parts of the world with accessible information on any diseases or conditions.  For example Alaska, which the largest telemedicine program in the United States of America and may others around the globe (Jamal & Clark, 26-37).  The services have assisted both the patients with diabetes to get some information on the websites and to be helped without moving to the town centers for medication and diagnosis. Moreover, the health professors, as well as some doctors around the world handling cases like chronic conditions like diabetes, have also managed to get information through the e-health care systems. For example the development of the large medical databases like the Medline which can be reached anytime with both the patients and the doctors to get any information and also to ask some questions that can help the person health wise. According to the records given, most of the patient visiting the Medline are the diabetes patients, and the most question that comes in are related to diabetes (Eysenbach, 20). This indicates that most of the people that benefit from the systems are the people with diabetes.

The quality of the health care

The imaging technique has been used in most health cares to improve the quality of service delivery.  The imaging equipment such as the MRI has been used for remote viewing, interpretation and for consultation which is very much essential as a means of communication from one physician to the other and back. Moreover, the mobile apps techniques have also been applied to most of the world to allow communication and improvement of services through the patients and the doctors (Suler, 326). The management of the apps through efficient sharing of information has allowed for the sufficient understanding of the information especially to clients who wanted to understand some information. The apps have enabled the society to learn from the Medline and thus prevent the chances of worsening the situations they are in at the moment. Additionally, the patients, for example, the diabetes have received a well of information from the mobile apps. Most of all, the doctors have also managed to get some information that perhaps they are not sure of before performing the main action.

Conclusion

Maybe communication technology has added a massive impact on the health sectors globally. The improvement has been noticed on the quality of services that the health cares are giving to the patients as compared to the earlier services before the enactment of communication technology. We have seen things like electronic recording for keeping the records in a better way without losing the information or the data (Winkelman & Rosso, 306). Moreover, we have the development of Medline network site which has allowed the patients to get any information and also for the physicians to ask for any question of interest and thereby equipping the physicians with knowledge and skills. These technologies have helped the diabetes patients the more and most (Kim & Jeong, 1087).

Work cited

Blumenthal, D., 2009. Stimulating the adoption of health information technology. New England journal of medicine, 360(15), pp.1477-1479.

Bu, D., Pan, E., Walker, J., Adler-Milstein, J., Kendrick, D., Hook, J.M., Cusack, C.M., Bates, D.W. and Middleton, B., 2007. Benefits of information technology–enabled diabetes management. Diabetes Care, 30(5), pp.1137-1142.

Chomutare, T., Fernandez-Luque, L., Årsand, E. and Hartvigsen, G., 2011. Features of mobile diabetes applications: the review of the literature and analysis of current applications compared against evidence-based guidelines. Journal of medical Internet research, 13(3), p.e65.

Eysenbach, G., 2001. What is e-health?. Journal of medical Internet research, 3(2), p.e20.

Jamal, A., McKenzie, K. and Clark, M., 2009. The impact of health information technology on the quality of medical and health care: a systematic review. Health Information Management Journal, 38(3), pp.26-37.

Kim, H.S. and Jeong, H.S., 2007. A nurse short message service by cellular phone in type‐2 diabetic patients for six months. Journal of clinical nursing, 16(6), pp.1082-1087.

Liang, X., Wang, Q., Yang, X., Cao, J., Chen, J., Mo, X., Huang, J., Wang, L. and Gu, D., 2011. Effect of mobile phone intervention for diabetes on glycaemic control: a meta‐analysis. Diabetic medicine, 28(4), pp.455-463.

Suler, J., 2004. The online disinhibition effect. Cyberpsychology & behavior, 7(3), pp.321-326.

Tomasi, E., Facchini, L.A. and Maia, M.D.F.S., 2004. Health information technology in primary health care in developing countries: a literature review. Bulletin of the World Health Organization, 82(11), pp.867-874.

Winkelman, W.J., Leonard, K.J. and Rossos, P.G., 2005. Patient-perceived usefulness of online electronic medical records: employing grounded theory in the development of information and communication technologies for use by patients living with chronic illness. Journal of the American Medical Informatics Association, 12(3), pp.306-314.