Artificial Intelligence for Automated Clinical Data Exploration From Electronic Medical Records (CardioMining-AI)
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorAHEPA University Hospital
About this trial
The purpose of this study is to highlight the usefulness of artificial intelligence and machine learning to develop computer algorithms that will achieve with great reliability, speed and accuracy the automatic extraction and processing of large volumes of raw and unstructured clinical data from electronic medical files.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Hospitalised patients in Cardiology Departments in Greece
Patients whose medical records are electronically stored in each hospital's computer/information systems
Disqualifiers
Patients that died during hospitalization, and thus no discharge letter was issued
Trial population
All patients who were hospitalized in the Cardiology ward of tertiary hospitals and have available electronically-stored clinical notes/hospitalization documents will be included in the study .
Trial design
Design model
Cohort
Time perspective
Retrospective
Treatments tested in this trial
Not listed
Trial groups
No trial groups listed
Trial outcomes
Primary outcomes
1
Accuracy of artificial intelligence to automatically extract clinical data from patients' medical records compared with traditional manual data extraction methods
Rate of accurate extraction of clinical data (medical history, discharge diagnoses, medication, etc.) from unstructured clinical notes using automated artificial intelligence methods compared with traditional methods of manual data extraction
Time frame
1 yearSecondary outcomes
1
Time to all-cause mortality
Length of time (months) until death from any cause during the follow-up period
Time frame
up to 8 years (from hospital discharge until study primary completion date)2
Time to incident major cardiovascular diseases
Length of time (months) until development of heart failure, diabetes mellitus or coronary artery disease during the follow-up period
Time frame
up to 8 years (from hospital discharge until study primary completion date)3
Time to rehospitalization for cardiovascular reasons
Length of time (months) until rehospitalization for cardiovascular reasons during the follow-up period
Time frame
up to 8 years (from hospital discharge until study primary completion date)4
Time to stroke or systemic embolism
Length of time (months) until stroke or systemic embolism during the follow-up period
Time frame
up to 8 years (from hospital discharge until study primary completion date)Sponsors and contacts
Click on the lead sponsor to view all of their trials.
AHEPA University Hospital
Lead sponsor
Hippokration Hospital Athens
Collaborator
General Hospital of Larissa
Collaborator
University Hospital, Alexandroupolis
Collaborator
University General Hospital of Patras
Collaborator
University General Hospital of Heraklion
Collaborator
George Papanicolaou Hospital
Collaborator
Ippokrateio General Hospital of Thessaloniki
Collaborator
Source ClinicalTrials.gov