Blockchain with AI: Digital Patient Records

The integration of blockchain technology and Artificial Intelligence (AI) into centralized digital patient records systems offers a transformative approach to healthcare data management. Our Paper presents the concept of a centralized digital patient records system that leverages the immutability, security, and transparency of blockchain with the predictive capabilities and automation of AI. The proposed system allows for the seamless storage, sharing, and management of patient records across various healthcare providers, ensuring that data is accessible, secure, and tamper-proof. Blockchain's decentralized nature ensures that patient data remains encrypted and immutable, while AI technologies assist in predictive analytics, decision-making support, and personalized treatment recommendations. By enhancing the reliability, security, and efficiency of healthcare data management, this integrated system can reduce administrative burdens, improve patient outcomes, and promote more informed and timely clinical decisions. The potential of blockchain and AI to overcome challenges in healthcare such as data fragmentation, privacy concerns, and fraud makes this system a forward-looking solution for modern healthcare ecosystems.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15534552
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blockchain with AI: Digital Patient Records

Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology Applications and Security
article

Blockchain with AI: Digital Patient Records

article en

Abstract

The integration of blockchain technology and Artificial Intelligence (AI) into centralized digital patient records systems offers a transformative approach to healthcare data management. Our Paper presents the concept of a centralized digital patient records system that leverages the immutability, security, and transparency of blockchain with the predictive capabilities and automation of AI. The proposed system allows for the seamless storage, sharing, and management of patient records across various healthcare providers, ensuring that data is accessible, secure, and tamper-proof. Blockchain's decentralized nature ensures that patient data remains encrypted and immutable, while AI technologies assist in predictive analytics, decision-making support, and personalized treatment recommendations. By enhancing the reliability, security, and efficiency of healthcare data management, this integrated system can reduce administrative burdens, improve patient outcomes, and promote more informed and timely clinical decisions. The potential of blockchain and AI to overcome challenges in healthcare such as data fragmentation, privacy concerns, and fraud makes this system a forward-looking solution for modern healthcare ecosystems.

Zenodo (CERN European Organization for Nuclear Research)
G.S. Science, Arts And Commerce College (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 45%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Blockchain with AI: Digital Patient Records · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS