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by Elizabeth O & # 39; Dowd
– Anthem and doc.ai announced on August 1 the release of their trial on collaborative artificial intelligence (AI) data on blockchain.
The process starts month and will cover the next 12 months. It will focus on whether it is possible to use artificial intelligence to predict when patients will experience allergies. The trial will use a framework developed by Harvard Medical School that will leverage automatic learning to discover predictive models of allergies.
These models are based on physical and hereditary characteristics, position and exposure to atmospheric agents and physical activity. Participants will provide personal health information via blockchain which will then be analyzed and put together by the IA.
"Anthem is focused on the safe and responsible use of artificial intelligence and emerging technologies to create a better healthcare future for all Americans," the president said in a statement. CEO of Anthem, Gail K. Boudreaux. "We are delighted to be collaborating with doc.ai in this innovative study that can have short-term benefits for our employees and, in the long run, the potential to redefine the way we treat diseases and manage chronic medical conditions to achieve results. better health benefits. "
The use of blockchain in the health sector is relatively new. Currently, the health blockchain is mostly financially focused, while organizations are working to make blockchain effective for other aspects of health care, such as population health.
"Any healthcare initiative that uses IA needs scales to succeed.We are thrilled to welcome Anthem as our partner in the support and use of technology to enable people to collect and own health data, allowing data researchers to use deep learning to collaborate with consumers, doctors and researchers to find personalized healthcare solutions, "said Dr. co-founder of Walter De Brouwer.
The addition of an AI layer to generalized accounting technology can give patients greater control over their data and enable collaboration with clinicians to consider predictive analytics.
IBM also expressed interest in combining blockchain and AI technologies. IBM Watson collaborated with the CDC at the end of last year to join AI and blockchain.
"Blockchain is very useful when there are so many actors in the system," said Shahram Ebadollahi, head of science at IBM Watson Health, in a statement. "It allows the health data ecosystem to have greater fluidity and artificial intelligence allows us to derive information from the data."
As healthcare organizations gather more data, it becomes difficult to solve them without the help of AI. More data is shared with blockchain, which drives the need for the technology to process data quickly so that it can be used to provide information on a patient's condition or to provide additional information for population health purposes.
Health organizations that are considering adopting blockchain should use a multi-layered approach to implement the technology. The HIMSS Blockchain working group has studied how to realistically implement blockchain in the health sector in the last year.
HIMSS suggested a four-level approach to building the blockchain infrastructure. Level 1 enables secure sharing of healthcare data between B2B networks. Layer 2 introduces smart contracts to increase automation to improve transaction efficiency. Layer 3 adds cryptocurrencies and tokens to enable new trading systems and incentives.
Finally, Layer 4 uses artificial intelligence and machine learning to reduce costs and improve assistance. Data sharing between different health organizations such as scans and other medical images can be shared securely via blockchain and reviewed by the IA. Doctors will have access to more information faster, resulting in more accurate diagnoses at the point of care and fewer return visits.
While health organizations try to exploit data entered by patients or collected from connected medical devices, technology must be implemented that data can be processed and analyzed. If the studies that bring blockchain and AI together continue to be developed and tested, organizations might be able to leverage technology and apply it to population health and other data-intensive initiatives.
