DeepDRG: Performance of Artificial Intelligence Model for Real-Time Prediction of Diagnosis-Related Groups myDRG Stellenmarkt Gesundheitswesen

« Sachsen-Anhalt: Gesundheits­ministerin will kleine Krankenhäuser besser unterstützen | DeepDRG: Performance of Artificial Intelligence Model for Real-Time Prediction of Diagnosis-Related Groups | Entscheidung für das Vorsorgeprinzip: G-BA beschließt Aussetzung des planungsrelevanten Qualitätsindikators QI 330 »

 

DeepDRG: Performance of Artificial Intelligence Model for Real-Time Prediction of Diagnosis-Related Groups

DeepDRG: Performance of Artificial Intelligence Model for Real-Time Prediction of Diagnosis-Related Groups (MDPI).

Nowadays, the use of diagnosis-related groups (DRGs) has been increased to claim reimbursement for inpatient care. The overall benefits of using DRGs depend upon the accuracy of clinical coding to...

Nowadays, the use of diagnosis-related groups (DRGs) has been increased to claim reimbursement for inpatient care. The overall benefits of using DRGs depend upon the accuracy of clinical coding to obtain reasonable reimbursement. However, the selection of appropriate codes is always challenging and requires professional expertise. The rate
of incorrect DRGs is always high due to the heavy workload, poor quality of documentation, and lack of computer assistance. We therefore developed deep learning (DL) models to predict the primary
diagnosis for appropriate reimbursement and improving hospital performance.
[...]

Quelle: MDPI, 25.11.2021

- - - - - - - - - - -



erschienen am Freitag, 24.12.2021