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PT Mega Medica Pharmaceuticals Logo

PT Mega Medica Pharmaceuticals

Bina Nusantara University Logo

Bina Nusantara University

C-Beta: A Survey Mobile App for Clinical Research with Privacy In Mind

About C-Beta

The C-Beta project is an initiative born from the collaboration between Bina Nusantara (Binus) University and PT Mega Medica Pharmaceuticals, a pharmaceutical company in Indonesia renowned for its oral albumin supplements. The primary goal of this project is to develop a specialized survey app that collects data from COVID-19 patients, particularly those who have been consuming Channa supplements. This app plays a crucial role in gathering data that will be used in clinical studies to evaluate the effectiveness of these supplements in aiding COVID-19 recovery, potentially contributing to significant advancements in treatment options.

The survey app is designed to address the unique needs of this clinical research by offering two key components: an admin website and a mobile application. The admin website is tailored for researchers and administrators, providing them with the ability to create and manage multiple surveys with a high degree of flexibility. Meanwhile, the mobile application is intended for COVID-19 patients, offering an intuitive interface that ensures ease of use, even for users from diverse backgrounds. This dual approach not only streamlines the data collection process but also ensures that the data gathered is both comprehensive and reliable, ultimately supporting the clinical study's objectives.

The development of C-Beta was driven by three critical factors that existing survey tools failed to address:

  1. Lack of Flexibility in Existing Survey Apps: Traditional survey tools like Google Forms and TypeForm do not provide sufficient flexibility for creating conditional branches in surveys. This limitation hinders the ability to tailor follow-up questions based on previous answers, which is essential for obtaining detailed and relevant data in clinical research.
  2. Privacy Concerns in Existing Solutions: Privacy issues in many survey apps deter users from providing honest answers. For a clinical study, where accurate data is vital, ensuring user anonymity and data privacy is paramount to obtaining trustworthy results.
  3. User Experience Issues with Similar Apps: Many existing survey apps lack a user-friendly mobile application, making it difficult for patients from various backgrounds to participate effectively. A simple, intuitive interface is crucial to ensure that users can easily navigate the survey, leading to more accurate and meaningful responses.

COUNTRY

Indonesia

INDUSTRY

Pharmaceutical

YEAR

2020

Key Responsibilities

Our involvement in the C-Beta project centers around several critical responsibilities, each contributing to the successful development and deployment of this survey app:

  1. Admin Website Development: We have developed a comprehensive admin website that allows users to create and manage multiple surveys with unparalleled flexibility. This includes the ability to create follow-up questions based on previous answers, enabling personalized survey paths. This feature is essential for capturing nuanced data that would be impossible to gather using standard, freemium survey creation tools.
  2. Mobile Application Development: We have also developed a user-friendly mobile application designed for COVID-19 patients who consume Channa supplements. The app enables patients to select and complete surveys relevant to their condition and treatment, ensuring a seamless experience that encourages honest and accurate responses.
  3. Backend and API Development: To support these functionalities, we have built a robust RESTful Web API using Node.js and Express.js. This API orchestrates all the app's features, ensuring smooth communication between the admin website and the mobile application.
  4. Database Design: A significant part of our responsibility involved designing a database structure capable of accommodating the flexible survey forms and the conditional logic required for follow-up questions. This ensures that the survey data is stored efficiently and can be analyzed effectively.
  5. System Design and Integration: Lastly, we have taken on the responsibility of system design, ensuring that all components—frontend, backend, and database—work together seamlessly to meet the project's requirements.

Tech Stack

The C-Beta project is built on a carefully selected tech stack, chosen for its reliability, scalability, and ease of integration:

  1. Admin Dashboard: The admin dashboard is built using VueJS, a progressive JavaScript framework known for its flexibility and ease of use. VueJS enables the creation of dynamic, responsive interfaces that enhance the user experience for administrators managing surveys.
  2. Mobile Application: The end-user mobile application is developed using React Native, a powerful framework that allows us to build cross-platform apps with native performance. This ensures that the app is accessible to a wide range of users, regardless of their device.
  3. Backend API: The backend API is developed using Node.js with Express.js. This combination provides a fast, reliable, and scalable server-side environment that efficiently handles requests and manages data flow between the frontend and the database.
  4. Database: MySQL is used as the database for C-Beta, offering robust data management and ensuring the integrity and security of the collected survey data.

Project Goals

The C-Beta project is driven by several overarching goals, all focused on improving the effectiveness of surveys in clinical research:

  1. More Effective Surveys: By enhancing the user experience for end-users, C-Beta aims to reduce frustration and encourage more accurate and serious responses. This leads to higher quality data, which is crucial for reliable research outcomes.
  2. Personalized Follow-Up Questions: The ability to create personalized follow-up questions based on previous answers allows researchers to delve deeper into specific areas of interest, leading to more insightful data collection.
  3. Improved Privacy: Privacy concerns are a significant barrier to honest survey responses. C-Beta addresses these issues by ensuring better privacy and anonymity, making users more comfortable and likely to provide genuine answers.

Team Composition

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Software Engineers

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