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 be developed based on extraction of relevant text from more than 300.000 electronic health records (unstructured data). When implemented the algorithm can extract information on bleeding episodes from the patient medical record 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:
More info
This subproject is part of the project The Intelligent Health Record, wich includes several other subproject on how to use AI to find information in the electronic health record.
Read more about the project The Intelligent Health Record at ipj.nu (website only available in Danish).
Contact
Pernille Just Vinholt
Physician, Associate Professor
Dep. of Clinical Biochemistry and Pharmacology
(+45) 29 64 86 94
[email protected]
Thiusius Rajeeth Savarimuthu
Professor
Maersk Mc-Kinney Moller Institute
(+45) 24 40 95 45
[email protected]