DiAgnosis is a full-stack application that leverages artificial intelligence to streamline and enhance the diagnostic process in healthcare settings. This innovative solution, developed within an impressive 24-hour timeframe, aims to address various challenges faced by patients, doctors, and the healthcare system at large.
The project identifies key issues within three primary areas:
- Doctors: Challenges include difficulty in communication with patients, a high volume of uncomplicated diagnoses, and time pressure.
- Patients: Issues such as discomfort during medical facility visits, high healthcare costs, and limited access to care.
- Healthcare System: Low doctor work efficiency and hospital overloading.
DiAgnosis introduces several innovative solutions:
- AI-driven communication tools to facilitate interaction between doctors and hard-to-communicate patients.
- Efficient diagnosis process management to assist doctors with uncomplicated cases, allowing them to focus on critical cases.
- Online consultations to reduce the need for physical visits, thereby saving costs and making healthcare more accessible.
The DiAgnosis platform is built using leading technologies:
- React: A JavaScript library for building user interfaces.
- NestJS: A progressive Node.js framework for building efficient and scalable server-side applications.
- TypeScript: A typed superset of JavaScript that compiles to plain JavaScript.
- Node.js: A JavaScript runtime built on Chrome's V8 JavaScript engine.
- OpenAI: Utilized for implementing advanced AI and machine learning algorithms.
You can view a live demo of the DiAgnosis application here: Live Preview.
The deployment of DiAgnosis is expected to improve the efficiency of medical consultations, reduce healthcare costs, and enhance the accessibility of medical services. By reducing the strain on healthcare facilities and enabling more effective patient care, DiAgnosis stands to significantly improve the overall healthcare delivery system.