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Medicalchain partners with the Mayo Clinic

Renowned for its high-quality patient care and known as one of the best hospitals in the US, The Mayo Clinic has partnered with UK blockchain start-up Medicalchain to support the development of future services.

Mayo Clinic is top ranked in a wide range of specialities, including diabetes and endocrinology, gastroenterology, geriatrics, gynaecology, nephrology, neurology and neurosurgery, pulmonology and urology.

Each year, up to 1.3mn people visit the Mayo Clinic for care, where the organisation works to improve the delivery of health care through data-driven, evidence-based care.

The clinic’s interest in blockchain will enable the two organisations to explore the benefits this could bring to medical records, providing speed, a reduction in healthcare costs, greater security and guaranteed positive patient outcomes, delivering fully connected care, rather than a fragmented, siloed response.

“We are thrilled to be working with Mayo Clinic. Mayo Clinic will provide their world-class healthcare and health IT expertise, while Medicalchain will provide our knowledge of blockchain and crypto,” said Dr Abdullah Albeyatti, CEO of Medicalchain.

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“Together we will work on several use cases using blockchain based electronic health records. There’s a lot of opportunity out there, and we feel this working agreement will be of benefit to all healthcare stakeholders.”

By providing the patient full access and control over their data, via mobile or desktop, they will gain the capability to provide differing levels of access to various users, assigning permissions and designating who can query and write data to their blockchain health record.

By fully owning their medical record through blockchain technology, patients will be able to ‘own’ their record, ensuring greater trust and transparency, as well as gain the ability to revoke users if required in order to ensure robust data security.

Approved clinicians will have the ability to ‘read and write’ to the patient’s records and indicate who has accessed their medical data, the time of access and the types of data that can be accessed.

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