Indonesian pharmaceutical dataset for self-medication

Read full text
Authors: Richard Wiputra, Carrie Florista Benjaminsz, Andrian Loria, Rafaell Widjaya, Rudy, Andry Chowanda
Cited by: 0
References: 9

Abstract

The Indonesian Pharmaceutical Dataset for Self-medication consists of two structured datasets containing some of the most important public health information: a drug dataset and a disease dataset. Both were extracted from the websites of Indonesian-registered and regulated telemedicine providers. The drug dataset contains general data on drugs, indications, dosages, side effects, contraindications, and warnings, whereas the disease dataset contains definitions, descriptions, symptoms, and causes of diseases. Both datasets are provided in CSV file format and are available exclusively in Bahasa Indonesia to maintain consistency with the source content and cater to local users' needs. These datasets are available to facilitate research, application development, and Indonesian health information systems through locally contextualized and accessible health data for the Indonesian population to use. Some potential applications include powering health chatbots, arming medical search tools, guiding health literacy programs, and facilitating the integration of standardized local information into HealthTech platforms.

Fields of Study & Subjects

Data-Driven Disease Surveillance Pharmaceutical Quality and Counterfeiting Pharmacovigilance and Adverse Drug Reactions

Publication details

Journal / source
Data in Brief
Volume
65
Pages
112460–112460
Publication date
9 January 2026
Language
EN