CAI-X

AI project

Detection and presentation of bleeding events in the electronic health record

Aim

The aim is to aid clinical decision making using artificial intelligence (AI) to find critical information in electronic health records.

The goal in this project is to develop AI algorithms based on Natural Language Processing to find bleeding episodes reported in electronic health records. It will extract relevant text from more than 300.000 electronic health records (unstructured data) and the results will be reported to the medical doctor and patient in an easily understandable and relevant way.

Participants

Department of Clinical Biochemistry and Pharmacology, Odense University Hospital (OUH)

The Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU)

Project period

Start: 2020

End: 

Contact

Pernille Just Vinholt

Pernille Just Vinholt

Physician, Associate Professor

Dep. of Clinical Biochemistry and Pharmacology

(+45) 29 64 86 94
[email protected]

Thiusius Rajeeth Savarimuthu

Thiusius Rajeeth Savarimuthu

Professor

Maersk Mc-Kinney Moller Institute

(+45) 24 40 95 45
[email protected]