{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/65337aeb32aab9001268a81f/6a0c27034239db8b87c2b4c8?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Using AI to identify hospital acquired thrombosis","description":"<p>On this episode, Pip and Rich chat to Consultant Haematologist, Dr Kate Musgrave and Thrombosis Nurse Specialist, Vicky Marr about how they developed and implemented a natural language processing model that identifies cases of hospital acquired thrombosis. Implementing this strategy in their hospital in Newcastle-Upon-Tyne has led to saving thousands of hours of manually trawling radiology reports - enabling them to focus on what matters - interacting with patients. The tool is now available for implementation across the NHS. This is a must-listen for anyone wanting to improve efficiency in their hospital.</p><p><br></p><p><a href=\"https://www.newcastle-hospitals.nhs.uk/news/newcastle-hospitals-using-artificial-intelligence-ai-to-identify-preventable-blood-clots/\" rel=\"noopener noreferrer\" target=\"_blank\">Read more about the project here.</a></p>","author_name":"Richard Buka"}