27 August 2024 | 10:30-12:00<\/strong><\/p> Format: Presentation<\/em> Anticoagulants are used extensively for thrombotic and embolic disorders. Whilst incredibly effective when used appropriately, they are deemed high risk medications. It’s these risks, such as major bleeding, that our research aims to prevent. In the current clinical environment, healthcare organisations are investing in health information technology as a quality improvement measure to enhance patient safety. This session presents the effect of electronic medical record (EMR) implementation on the safety and quality of therapeutic anticoagulation management, highlighting strategies to harness digital technology to promote safety for hospitalised inpatients.<\/span><\/p> Jodie Austin<\/strong><\/a> The University of Queensland, Australia<\/span><\/p> \u00a0<\/p> Recognizing stroke risk factors and creating behavioral changes will be possible with the more common use of today\u2019s possibilities. Artificial intelligence and machine \u2013learning have begun to attract great attention in the field of medicine, as in every field today. In the field of neurology, the contribution of artificial intelligence to improve diagnosis, creating risk algorithms and developing scales to measure risk level, and contributing to treatment decisions is being investigated by more and more studies. This new achievement can be used to decrease stroke prevalence and incidence by using big data and by distributing prevention tools through common smart devices.<\/span><\/p>
Stream: Change<\/em><\/p>
Part 1: Digital transformation is everywhere, but are we making life safer for patients?<\/strong>
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Part 2:\u00a0 Will the artificial intelligence take place in stroke prevention?<\/strong><\/p>