Author(s):
Ida Lisni, Keri Lestari, Lucia Rizka Andalusia, Dewi Rahmawati
Email(s):
lisni.ida@gmail.com
DOI:
10.52711/0974-360X.2023.00058 
Address:
Ida Lisni1*, Keri Lestari1, Lucia Rizka Andalusia2, Dewi Rahmawati1
1Faculty of Pharmacy, Department of Pharmacology and Clinical Pharmacy, Universitas Padjadjaran, Jatinangor, Indonesia.
2Directorate General of Pharmacy and Medical Devices Ministry of Health of the Republic of Indonesia.
*Corresponding Author
Published In:
Volume - 16,
Issue - 1,
Year - 2023
ABSTRACT:
Background: The high prevalence of DM, as well as drug interaction problems that increase 2.5 times for each patient prescription and the side effects of individuals with diabetes mellitus including being more susceptible to drug interactions, it is necessary to monitor drug therapy in diabetes patients Mellitus. Methods: in this study, this research uses a literature study or uses a systematic literature review or also known as descriptive analysis based on research data. Results: This study shows that the use of expert systems in pharmacy, especially for disease detection and drug interactions, has been widely developed and proven to be able to detect. Conclusion: Based on the results and discussions that have been obtained, it can be concluded that the expert system is very useful for detecting disease and is also useful for checking drug interactions with a treatment therapy.
Cite this article:
Ida Lisni, Keri Lestari, Lucia Rizka Andalusia, Dewi Rahmawati. Utilization of Expert Systems as a Source of Information in Detecting Drug Interactions in the Treatment of Diabetes Mellitus Patients: A Systematic Literature Review. Research Journal of Pharmacy and Technology 2023; 16(1):328-2. doi: 10.52711/0974-360X.2023.00058
Cite(Electronic):
Ida Lisni, Keri Lestari, Lucia Rizka Andalusia, Dewi Rahmawati. Utilization of Expert Systems as a Source of Information in Detecting Drug Interactions in the Treatment of Diabetes Mellitus Patients: A Systematic Literature Review. Research Journal of Pharmacy and Technology 2023; 16(1):328-2. doi: 10.52711/0974-360X.2023.00058 Available on: https://www.rjptonline.org/AbstractView.aspx?PID=2023-16-1-58
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