No-one is permitted to access, Only you or your personal representative has the right to access your records. A health care provider or health plan may send copies of your records to another provider or health plan only as needed for treatment or payment or with your permission. Information from your My Health Record cannot be released to law enforcement or a government agency without your consent or a court order.

We are always careful to preserve patient confidentiality and keep all medical information as secure as possible. As a patient, you have certain rights with respect to the security of your medical records and any computerised data about you, which is held by us.

As part of the provision of health care, we store and process patients’ medical records for all types of routine and emergency care. The processing of medical records may include administration, claiming and verification of NHS or other fees payable to the surgery, financial recording, audit, training and research.

an AI system extracts useful information from a large patient population to assist making real-time inferences for health risk alert and health outcome prediction.

Recently AI techniques have sent vast waves across healthcare, even fuelling an active discussion of whether AI doctors will eventually replace human physicians in the future. We believe that human physicians will not be replaced by machines in the foreseeable future, but AI can definitely assist physicians to make better clinical decisions or even replace human judgement in certain functional areas of healthcare (eg, radiology). The increasing availability of healthcare data and rapid development of big data analytic methods has made possible the recent successful applications of AI in healthcare. Guided by relevant clinical questions, powerful AI techniques can unlock clinically relevant information hidden in the massive amount of data, which in turn can assist clinical decision making.

Before AI systems can be deployed in healthcare applications, they need to be ‘trained’ through data that are generated from clinical activities, such as screening, diagnosis, treatment assignment and so on, so that they can learn similar groups of subjects, associations between subject features and outcomes of interest.

Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then review in more details the AI applications in stroke, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prognosis evaluation.

Managing patients and medical resources.