doc.ai has launched its advanced natural language processing technology platform that uses blockchain and AI to improve patient care and experience.
Blockchain is used to time stamp and store datasets while the sophisticated AI uses the data to answer patient queries about their care.
According to the World Health Organisation, there is a global shortage of over seven million physicians, nurses and healthcare professionals. Not only do doctors need to meet the growing needs of their patients, they also need to stay on top of the rapidly evolving technological landscape. Medical and healthcare training is also a long, arduous and expensive process.
By introducing AI into the process of generating insights from combined medical data, doc.ai hopes that it can improve efficiency as well as patient care and experience.
Walter De Brouwer, founder and chief executive officer of doc.ai, said:
“We are making it possible for lab tests to converse directly with patients by leveraging advanced artificial intelligence, medical data forensics, and the decentralized blockchain. We envision extensive possibilities for the use of this technology by doctors, patients, and medical institutions.”
How it works
The company also announced that it is working with Deloitte Life Sciences and Healthcare to test its solution.
Rajeev Ronanki, Deloitte Consulting LLP principal of Life Sciences and Health Care, said:
“doc.ai’s AI-based doctors provide answers to health questions using an AI-powered platform. Platforms like these open new possibilities for patients and medical organizations by providing more personalized, intelligent healthcare. We are excited to collaborate with doc.ai and to be at the forefront of this technology.”
The platform works in the following ways:
- an edge-learning network performs deep learning on personal data at the edge of the network or on a mobile device
- AI personalises conversations with patients on their health data through a mobile app
- the patient can ask the AI technical questions, such as those relating to correct doses of medication, and it will provide the answer as well as additional context
- patients can then use this data to provide their own consultants or physicians better insights into thier health
The company will be beginning its ICO on September 28, with the pre-sale process beginning to September 7.