The UCI23 Group

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Version vom 14. September 2025, 13:12 Uhr von AlexandriaElder (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „<br>The Intensive Care (IC) Unit research group led by Dr Bodí on the University Hospital of Tarragona Joan XXIII (UCI23), has been awarded a aggressive innovation grant (INNOBICS) by the Institut Català de la Salut (ICS) for the event of a IC Units knowledge exploitation platform. Despite the richness of knowledge accessible at Clinical Information Systems (CIS), the type and quality of information is simply too variable to bring profit beyond existing…“)
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The Intensive Care (IC) Unit research group led by Dr Bodí on the University Hospital of Tarragona Joan XXIII (UCI23), has been awarded a aggressive innovation grant (INNOBICS) by the Institut Català de la Salut (ICS) for the event of a IC Units knowledge exploitation platform. Despite the richness of knowledge accessible at Clinical Information Systems (CIS), the type and quality of information is simply too variable to bring profit beyond existing standards of care. The UCI23 group, an internationally famend group within the secondary use of CIS data, will create a software to implement at all ICS hospitals. Updated the entry of the data collected from bedside gear monitoring, results from further tests (ex. IC clinicians have long acknowledged that CIS are being underused, however automatisation requires a cultural shift and the creation of recent roles (i.e. data scientists in the clinics). Some MS have undergone this shift (ex. IC Medical Associations agree on the need to make use of frequent indicators to watch high quality of care throughout Units, however the lack of standardisation procedures impedes benchmark practices. There may be a necessity for decision making fashions that enhance the requirements of quality of care across IC Units whilst predicting behaviour of IC patients and promoting patient stratification. The UCI23 team will develop a tool that may enable access to this knowledge, generate automatic experiences on the service supplied to patients, create computerized course of (AP) and quality (CI) indicators. This can protected vital time to clinical staff whilst enable benchmarking to enhance the standard of healthcare by implementing tools that will support clinical desicionmaking.



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