About The Project

Eye diseases such as cataracts, glaucoma, and diabetic retinopathy are major global health issues, affecting millions of people and leading to vision impairment or blindness if not detected and treated promptly. According to the World Health Organization (WHO), 2.2 billion people suffer from vision impairment, with at least 1 billion cases being preventable. In Indonesia, these eye diseases significantly contribute to vision problems, exacerbated by limited awareness and accessibility to early detection. Additionally, inefficiencies and lack of integration in medical records hinder effective diagnosis and treatment.

To address these challenges, we developed SCANOCULAR, an application leveraging artificial intelligence (AI) and blockchain technology to facilitate early detection of eye diseases through smartphone-based eye scans. The blockchain component ensures the security and immutability of patient data, supporting the implementation of electronic medical records (EMR) and integration with Indonesia's SATUSEHAT system. This development aims to enhance overall eye care quality in Indonesia, aligning with the Sustainable Development Goals (SDGs) for "Good Health and Well-Being."

Goals:

• To provide an accessible and efficient tool for the early detection of eye diseases such as cataracts, glaucoma, and diabetic retinopathy using smartphone-based eye scans.
• To ensure the security and immutability of patient data through blockchain technology, facilitating the implementation of electronic medical records (EMR).
• To integrate with Indonesia's SATUSEHAT system, enhancing the overall efficiency and effectiveness of the healthcare system.
• To increase awareness and accessibility to early detection of eye diseases in Indonesia, ultimately reducing the incidence of vision impairment and blindness.
• To contribute to the Sustainable Development Goals (SDGs) for "Good Health and Well-Being."

The User & Audience

• Patients: Individuals at risk of or suffering from eye diseases, particularly those in remote or underserved areas with limited access to traditional healthcare facilities.
• Healthcare Providers: Doctors, optometrists, and other healthcare professionals who require efficient tools for early diagnosis and treatment of eye diseases.
• Healthcare Administrators: Individuals responsible for managing patient records and ensuring compliance with healthcare standards and regulations.
• Researchers and Public Health Officials: Professionals involved in the study and management of public health issues related to eye diseases.

Development Scope

• Artificial Intelligence Integration: Developing AI algorithms capable of analyzing eye scans and detecting signs of cataracts, glaucoma, and diabetic retinopathy with high accuracy.
• Blockchain Technology Implementation: Ensuring the security and immutability of patient data through blockchain, facilitating the creation of electronic medical records (EMR).
• User Interface and Experience: Designing a user-friendly interface that allows easy navigation and use by both patients and healthcare providers.
• System Integration: Integrating the application with Indonesia's SATUSEHAT system to streamline healthcare processes and improve overall efficiency.
• Awareness and Education: Developing strategies to increase awareness about the importance of early detection of eye diseases and the benefits of using SCANOCULAR.

Process

Requirement Gathering:

The initial phase involved identifying the needs and expectations of patients, healthcare providers, administrators, and public health officials through surveys and interviews. This provided insights into functional and non-functional requirements, guiding subsequent phases.

Planning and Design:

A comprehensive project plan was developed post-requirement gathering, outlining timelines and milestones. Design focused on creating a scalable architecture and intuitive user interface, incorporating stakeholder feedback.

Development:

Front-end development used robust frameworks to ensure responsiveness and accessibility. Concurrent back-end development supported data flow and real-time updates, with blockchain integration for data security.

Testing:

Rigorous testing included unit, integration, and user acceptance testing (UAT) phases to validate functionality, performance, and user experience. Load testing ensured scalability under high usage.

Deployment:

Production environment setup ensured configurations were optimized for performance and security. Final checks and user validation preceded the official launch.

Release and Monitoring:

Post-launch monitoring tracked performance metrics and user engagement. Feedback mechanisms facilitated ongoing improvements to meet user needs and healthcare objectives.