DETAK Application: An Artificial Intelligence used to Improve Outcome in Coronary Artery Disease Patients

DOI

10.2991/978-94-6463-525-6_46How to use a DOI?

Keywords

Cardiovascular disease; artificial intelligence; DETAK C application

Abstract

Coronary artery disease is the foremost single cause of mortality and loss of disability adjusted life years (DALYs). This burden falls on low- and middle-income countries accounting to approximately 7 million deaths and 129 million DALYs annually. Hence many efforts tried to prevent events and improve outcome, including in limited resources and supporting system counties such as Indonesia. The outcomes of patients suffering from acute myocardial infarction setting of coronary artery disease (CAD) are contingent on the time taken to deliver definitive treatment. The biggest delays and challenges in reducing the time to reperfusion, however, are in fact mostly seen in the prehospital setting, especially related to patient delay. Our previous research suggested that patient awareness is lacking knowledge of CAD natural history. Therefore, we provide an artificial intelligent based DETAK C application fitted to smartphones to let patients easily access on demand at any time and anywhere they need. By using the DETAK C application patients will be guided to the health facilities according to their symptoms or they don’t have to worry about it. Our database also suggested that patient delay significantly reduced and definitive treatment could be facilitated, resulting in a better outcome in patients using the DETAK C application. In conclusion, DETAK C has been proven beneficial to improve outcomes in CAD patients’ event in a limited emergency supporting system, further collaborative effort warranted to support development of digital health in Indonesia.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mohammad Saifur Rohman
AU  - Mifetika Lukitasari
AU  - Dwi Adi Nugroho
PY  - 2024
DA  - 2024/10/29
TI  - DETAK Application: An Artificial Intelligence used to Improve Outcome in Coronary Artery Disease Patients
BT  - Proceedings of the 2023 Brawijaya International Conference (BIC 2023)
PB  - Atlantis Press
SP  - 397
EP  - 404
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-525-6_46
DO  - 10.2991/978-94-6463-525-6_46
ID  - Rohman2024
ER  -