Discharge Prediction for Patients Undergoing Inpatient Surgery: Development and validation of the DEPENDENSE score.
Maximilian HammerFriederike C AlthoffKatharina PlatzbeckerLuca J WachtendorfBijan TejaDana RaubMaximilian S SchaeferKaruna WongtangmanXinling XuTimothy T HouleMatthias EikermannKadhiresan R MurugappanPublished in: Acta anaesthesiologica Scandinavica (2021)
Using preoperatively available data, we developed and validated a prediction instrument for adverse discharge following inpatient surgery. Reliable prediction of this patient centered outcome can facilitate individualized operative planning to maximize value of care.
Keyphrases
- minimally invasive
- palliative care
- coronary artery bypass
- patients undergoing
- healthcare
- mental health
- surgical site infection
- acute care
- electronic health record
- emergency department
- machine learning
- pain management
- percutaneous coronary intervention
- acute coronary syndrome
- atrial fibrillation
- artificial intelligence
- deep learning