This research explores the convergence of advanced technologies to enhance healthcare systems, focusing on Medicine Name Scanning, Summary Generation for Indian Languages, and Blockchain for secure patient record storage. The increasing linguistic diversity in India poses a unique challenge in healthcare information accessibility. To address this, we propose a solution that employs Natural Language Processing (NLP) techniques to scan and generate medical summaries in multiple Indian languages, ensuring comprehensive understanding and communication. The research contributes to the evolution of healthcare information systems, addressing linguistic diversity challenges and ensuring patient data confidentiality. The adoption of blockchain technology enhances transparency, integrity, and security in the storage and retrieval of medical records. The proposed solution holds promise in revolutionizing healthcare practices, fostering a more inclusive and technologically advanced approach to patient care in India.
• The system's ability to scan and interpret medicine names in any language and generate summaries in multiple Indian languages is a groundbreaking feature. This addresses a significant gap in healthcare technology, catering to India's diverse linguistic landscape and ensuring that medical information is accessible and comprehensible to individuals regardless of their language proficiency.
• Providing people with accurate and up-to-date information about their medicines in their own language. This not only enhances the accuracy of medicine name scanning but also contributes to the generation of precise and relevant medical summaries, revolutionizing the way healthcare data is interpreted and communicated.
• Providing patients, a safe and secure place to store their medical records. The incorporation of blockchain technology ensures the secure, transparent, and tamper-resistant storage of patient records. This innovation addresses longstanding concerns related to data security and privacy in healthcare, providing a decentralized and immutable solution.
• Patients benefit from easy access to information about their prescribed medicines in their native language. This not only promotes better understanding of medications but also enhances adherence to treatment plans, contributing to improved health outcomes.
• Healthcare professionals, particularly doctors, gain rapid access to comprehensive information about medicines, even those they may not be familiar with. This accelerates the decision-making process, allowing for more informed and precise medical interventions.
• The use of blockchain ensures that patient records are securely stored, providing a transparent and tamper-proof history of health information. This not only addresses data security concerns but also facilitates seamless data exchange between healthcare providers.
This system has the potential to improve patient safety, reduce healthcare costs, and improve the patient experience. By providing patients with accurate information about their medications, we can help them to avoid medication errors and make informed decisions about their healthcare. By improving the efficiency of medical record management, we can help to reduce healthcare costs for patients and payers. And by giving patients more control over their medical records, we can improve their overall healthcare experience.
This is a Next.js project bootstrapped with create-next-app
.
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx
. The page auto-updates as you edit the file.
This project uses next/font
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