Incorporating clinical and demographic data into the Elixhauser Comorbidity Model: deriving and validating an enhanced model in a tertiary hospital's internal …
G Leibner, DE Katz, Y Esayag, N Kaufman… - BMC Health Services …, 2024 - Springer
The Elixhauser Comorbidity Model is a prominent, freely-available risk adjustment model
which performs well in predicting outcomes of inpatient care. However, because it relies …
which performs well in predicting outcomes of inpatient care. However, because it relies …
Evaluating a predictive model of avoidable hospital events for race‐and sex‐based bias
Objective To evaluate whether race‐and sex‐based biases are present in a predictive
model of avoidable hospital (AH) events. Study Setting and Design We examined whether …
model of avoidable hospital (AH) events. Study Setting and Design We examined whether …
Pediatric Respiratory Exacerbation Detection: Innovating Asthma Care with Artificial Intelligence (PREDICTA): An AI Model to predict pediatric asthma exacerbations …
T Ruuls - 2024 - essay.utwente.nl
Pediatric asthma significantly impacts children's quality of life, with uncontrolled cases
leading to unpredictable exacerbations driven by various demographic, clinical, and …
leading to unpredictable exacerbations driven by various demographic, clinical, and …
Assessing the Effect of a Virtual Care Centre on Capacity in an OPAT Care Pathway
MJJ Agaart - 2023 - essay.utwente.nl
This thesis investigates the impact of the Connected Care intervention, particularly the
Virtual Care Centre (VCC), on the Outpatient Parenteral Antimicrobial Therapy (OPAT) care …
Virtual Care Centre (VCC), on the Outpatient Parenteral Antimicrobial Therapy (OPAT) care …