Recently, DeepMind and the Royal Free NHS Trust signed a Memorandum of Understanding (MOU). The document describes the prospects of both parties and believes that the cooperation “has a wide range of coverage, in line with the interests of both parties, and focuses on high-level cooperation activities, which can maximize the potential and facilitate the creation of truly innovative projects.
The collaboration between DeepMind and NHS is designed to improve clinical outcomes and patient safety, reduce overhead, and more. Because most of the NHS services are free for legal residents, and government fiscal austerity reduces public utility budgets, and more and more people need services provided by NHS, reducing spending has been a huge pressure on the NHS.
It is expected that the future cooperation areas of DeepMind and NHS will include: development of hospital support systems, such as bed and requirements management software; financial control products; private information and task management of junior doctors; reading of medical images, and even testing of pregnant women during work Heartbeat.
In particular, the first area of ​​cooperation between the two parties – real-time health predictions, they have collaborated to develop a Streams application that contains a range of medical data that can be used to identify patients with worsening conditions, death, and risk of re-admission. However, Streams does not use any artificial intelligence technology and is not supported by DeepMind's algorithm. Instead, the core software is written by NHS.
At the beginning of the memo, DeepMind was able to build a "powerful multi-target learning algorithm." One of the goals of DeepMind's collaboration with NHS is to “get the data needed for machine learning research with modest regulatory and ethical approval. The ultimate goal of collaboration is to apply machine learning technology to public health care data.
The data required by Streams recognizes personal identity and has been criticized
In February, DeepMind announced the development of an app for specific kidney conditions, AKI, with the Royal Free NHS Trust. DeepMind said that Streams will provide timely information to help nurses and doctors detect acute kidney injury (AKI) conditions.
At the time, the details of the data sharing agreement between DeepMind and the Royal Free NHS Trust were not disclosed. But then DeepMind has been able to access a wide range of data that identifies the patient's personal information. Under the agreement, DeepMind is able to obtain data from three NHS Trust hospitals over the past five years.
MediConfidential, a private data group for health data, has questioned why this single-case application requires sharing so many patient data that identifies personal information.
Sam Smith of MedConfidential once said: "There is a direct medical relationship between the patient and the clinician. A doctor can take steps to avoid the patient's future problems, which is direct medical care. And an organization takes measures to reduce the future problems of unknown patients, This is not direct medical treatment."
However, the Royal Free NHS Trust and DeepMind insist that because it is difficult to predict the risk of AKI in patients, it is necessary to access a large amount of data in order for Streams applications to perform direct patient care functions.
Research based on data that identifies patient information requires additional approval from the company, such as clear consent from the patient, but neither DeepMind nor the Royal Free NHS Trust obtains such approval. Both parties stated that Streams is only used for direct patient care and will not be used for research, so there is no need to obtain approval.
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