CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Digital Transformation in the Area of Diabetes Management through Business Intelligence Technology

by Tahani Daghistani, Huda Al Ghamdi, Abdullah Al Ghamdi, Raed H. AlHazme
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 35
Year of Publication: 2020
Authors: Tahani Daghistani, Huda Al Ghamdi, Abdullah Al Ghamdi, Raed H. AlHazme
10.5120/ijca2020919864

Tahani Daghistani, Huda Al Ghamdi, Abdullah Al Ghamdi, Raed H. AlHazme . Digital Transformation in the Area of Diabetes Management through Business Intelligence Technology. International Journal of Computer Applications. 177, 35 ( Feb 2020), 48-51. DOI=10.5120/ijca2020919864

@article{ 10.5120/ijca2020919864,
author = { Tahani Daghistani, Huda Al Ghamdi, Abdullah Al Ghamdi, Raed H. AlHazme },
title = { Digital Transformation in the Area of Diabetes Management through Business Intelligence Technology },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2020 },
volume = { 177 },
number = { 35 },
month = { Feb },
year = { 2020 },
issn = { 0975-8887 },
pages = { 48-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number35/31135-2020919864/ },
doi = { 10.5120/ijca2020919864 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:47:51.719085+05:30
%A Tahani Daghistani
%A Huda Al Ghamdi
%A Abdullah Al Ghamdi
%A Raed H. AlHazme
%T Digital Transformation in the Area of Diabetes Management through Business Intelligence Technology
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 35
%P 48-51
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital transformation and business intelligence in healthcare services for solving analytical tasks is a must. Analytic solutions continue to grow and will play an ever-increasing role in the healthcare future. Accordingly, healthcare organizations in quest of effective IT artifacts that will support the provision of a high quality care for patient based on accurate data analytics-based insights. In the area of diabetes management, there is a need for tools to track key indicators to support decision-making and provide elevated care. They require business intelligence for dashboards to visualize digitized data in order to gain insights regarding diabetes patient care and management. Simple and effective dashboards is mostly technology oriented to help physicians leverage patients’ data most effectively.

References
  1. El Morr, C. and Ali-Hassan, H., 2019. Healthcare, Data Analytics, and Business Intelligence. In Analytics in Healthcare (pp. 1-13). Springer, Cham.
  2. Bellazzi, R., Dagliati, A., Sacchi, L. and Segagni, D., 2015. Big data technologies: new opportunities for diabetes management. Journal of diabetes science and technology, 9(5), pp.1119-1125.
  3. Sim, L.L.W., Ban, K.H.K., Tan, T.W., Sethi, S.K. and Loh, T.P., 2017. Development of a clinical decision support system for diabetes care: A pilot study. PloS one, 12(2), p.e0173021.
  4. Presthus, W. and Bergum, I., 2015. Business Intelligence to the People. A Case Study of Dashboard Adoption in the Health Care sector. In Nor. Konf. Organ. bruk av IT (Vol. 23, No. 1).
  5. Contreras, I. and Vehi, J., 2018. Artificial intelligence for diabetes management and decision support: literature review. Journal of medical Internet research, 20(5), p.e10775.
  6. Koopman, R.J., Kochendorfer, K.M., Moore, J.L., Mehr, D.R., Wakefield, D.S., Yadamsuren, B., Coberly, J.S., Kruse, R.L., Wakefield, B.J. and Belden, J.L., 2011. A diabetes dashboard and physician efficiency and accuracy in accessing data needed for high-quality diabetes care. The Annals of Family Medicine, 9(5), pp.398-405.
  7. Dagliati, A., Sacchi, L., Tibollo, V., Cogni, G., Teliti, M., Martinez-Millana, A., Traver, V., Segagni, D., Posada, J., Ottaviano, M. and Fico, G., 2018. A dashboard-based system for supporting diabetes care. Journal of the American Medical Informatics Association, 25(5), pp.538-547.
  8. Ngui, D., Lee, A. and Qiu, M., 2017. Using a Diabetes Electronic Medical Record (EMR) Dashboard to Improve Diabetes Care. Canadian Journal of Diabetes, 41(5), p.S53.
  9. Wu, Q., Huang, C., Parau, B. and Alexander, S., 2019, November. Development of a live visual HbA1c dashboard to improve engagement and clinical outcomes-a type 1 diabetes QI project. In 47th Meeting of the British Society for Paediatric Endocrinology and Diabetes (Vol. 66). BioScientifica.
  10. Giordanengo, A., Årsand, E., Woldaregay, A.Z., Bradway, M., Grottland, A., Hartvigsen, G., Granja, C., Torsvik, T. and Hansen, A.H., 2019. Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study. JMIR diabetes, 4(3), p.e14002.
  11. Morrison, F., Shubina, M., Goldberg, S.I. and Turchin, A., 2013. Performance of primary care physicians and other providers on key process measures in the treatment of diabetes. Diabetes care, 36(5), pp.1147-1152.
  12. Vision2030. National Transformation Program. Delivery Plan 2018-2020. Last accessed on 2019 July 25]. Available from: https://vision2030.gov.sa/en/programs/NTP
  13. Alharbi, M.F., 2018. An analysis of the Saudi health-care system’s readiness to change in the context of the Saudi National Health-care Plan.
  14. in Vision 2030. International journal of health sciences, 12(3), p.83.
Index Terms

Computer Science
Information Sciences

Keywords

Digital Transformation Business Intelligence Dashboard Data Analytics Diabetes Management.

Powered by PhDFocusTM