Biomedical AI CDT Seminar series | DataLoch Speakers: Kathy Harrison, DataLoch programme manager, Usher Institute. Atul Anand, DataLoch clinical lead, Centre for Cardiovascular Science. Abstract The NHS in Scotland is facing the prospect of an aging population with more people with long-term conditions, with reducing resources and value for money challenges such as increasing costs of medicine and delayed discharge. DataLoch’s ambition is to create a health and social care data resource that enables a data driven approach to this challenge, supporting service managers, innovators and researchers to understand and deliver the change that’s needed. Routine data, processed to create a single longitudinal data set, will present a complete story of a patient’s health, diagnosis, treatments, medical procedures and outcomes. In this way, DataLoch will enable high quality research through slick and robust data access. The DataLoch service has been tested with an initial COVID-19 dataset and is now moving to a condition agnostic database structure to support wider research interests. DataLoch website Apr 28 2021 15.00 - 16.00 Biomedical AI CDT Seminar series | DataLoch DataLoch: using routine data to help drive improvements in healthcare Register to join via Zoom Webinar
Biomedical AI CDT Seminar series | DataLoch Speakers: Kathy Harrison, DataLoch programme manager, Usher Institute. Atul Anand, DataLoch clinical lead, Centre for Cardiovascular Science. Abstract The NHS in Scotland is facing the prospect of an aging population with more people with long-term conditions, with reducing resources and value for money challenges such as increasing costs of medicine and delayed discharge. DataLoch’s ambition is to create a health and social care data resource that enables a data driven approach to this challenge, supporting service managers, innovators and researchers to understand and deliver the change that’s needed. Routine data, processed to create a single longitudinal data set, will present a complete story of a patient’s health, diagnosis, treatments, medical procedures and outcomes. In this way, DataLoch will enable high quality research through slick and robust data access. The DataLoch service has been tested with an initial COVID-19 dataset and is now moving to a condition agnostic database structure to support wider research interests. DataLoch website Apr 28 2021 15.00 - 16.00 Biomedical AI CDT Seminar series | DataLoch DataLoch: using routine data to help drive improvements in healthcare Register to join via Zoom Webinar
Apr 28 2021 15.00 - 16.00 Biomedical AI CDT Seminar series | DataLoch DataLoch: using routine data to help drive improvements in healthcare
