This is a Small Business Research Initiative (SBRI) competition funded by NHS Scotland.
Do you have a mechanism, using natural language processing and other computational linguistics that would facilitate automatic structuring and extraction of heart failure (HF) data from primary and secondary care electronic health records across Scotland? This briefing event will give you the background information and overall rationale for this challenge announced by NHS Scotland and led by NHS Tayside and the University of Dundee
A data driven national HF strategy is urgently required to improve HF patient outcomes in Scotland. This project is seeking digital and data driven partners to work with clinical and informatics experts within Tayside to develop a solution that evaluates diagnostic patient data to automatically and accurately extract meaningful data from various forms of healthcare data, image, quantitative and natural language. The overall goal is to develop a generalisable system that can provide accessible, timely and accurate data on HF from routinely collected healthcare information across Primary and Secondary care. A national dashboard would then provide clinicians, managers and policymakers with timely access in order to manage/develop/improve services and patient care.