Overcoming Radiology Barriers with Blockchain

The blockchain technology is driving the future of the healthcare industry. The digital ledger can help image providers to maintain and safely share a massive amount of data with patients and doctors. Blockchain platforms in radiology can help solve many problems in imaging processes like service access, delivery, result communication, and speed of payment for services. The distributed digital ledger approach is adopted in hospitals for medical records, medical services platforms, and to improve data security. It is also used for building physician directories and reducing administrative burdens.

Radiology is becoming an increasingly important foundation of modern medicine in health care, helping to guide diagnosis and treatment. A typical image size is approximately 200 MB, and the storage space is added to the cloud storage applications where images are stored and can be accessed from. The blockchain plays an important role in this by securing the image and giving access only to patients and doctors. Medical image storage in the cloud enables doctors from other hospitals to access the image, which reduces the cost of scanning again.

There are many companies which have employed blockchain in radiology. Medical Diagnostic Web (MDW) and DeepRadiology have employed blockchain with AI in different ways. MDW blockchain platform connects imaging facilities, radiologists, and AI developers which is serving several clients. MDW also specializes in providing access to medical imaging data sets for AI developers, enabling anonymous, annotated data to be monetized for imaging centers, and providing access to crucial training data for developers.

DeepRadiology is a blockchain platform that aims to offer a variety of healthcare solutions. The platform's main objective is to use the latest image analysis in-depth learning algorithms to improve radiology and healthcare. DeepRadiology's objective is to use blockchain and AI to produce products that provide life-saving technologies at the lowest possible rates. A deep learning system based on blockchain can process images more efficiently, with a lower cost and higher accuracy.

Blockchain will add a layer of trust and security for seamless interactions by automating the traditional method. If the healthcare integrates its several systems with blockchain, it will be able to gain more trust, promoting new care delivery models and monetization options.