AIMC Topic: Hospital Costs

Clear Filters Showing 1 to 10 of 18 articles

Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning.

BMC infectious diseases
BACKGROUND: Pulmonary tuberculosis (PTB) is a prevalent chronic disease associated with a significant economic burden on patients. Using machine learning to predict hospitalization costs can allocate medical resources effectively and optimize the cos...

Machine learning prediction of hospitalization costs for coronary artery bypass grafting operations.

Surgery
BACKGROUND: With the steady rise in health care expenditures, the examination of factors that may influence the costs of care has garnered much attention. Although machine learning models have previously been applied in health economics, their applic...

Surgical Complications and Hospital Costs in Robot-Assisted Versus Conventional Laparoscopic Hysterectomy With Concurrent Sacrocolpopexy: Analysis of the Nationwide Readmissions Database.

Female pelvic medicine & reconstructive surgery
OBJECTIVES: Despite increasing use of robotic technology for minimally invasive hysterectomy with sacrocolpopexy, evidence supporting the benefits of these costly procedures remains inconclusive. This study aimed to compare differences in perioperati...

Mandate to evaluate robotic surgery implementation: a 12-year retrospective analysis of impact and future implications.

Journal of robotic surgery
The introduction of robotic surgery in hospitals has raised much debate given the various effects on care, costs, education and medical advancement. Purchasing discussions are often approached with more questions than answers and there is a need for ...

Robot-assisted pancreatoduodenectomy with the da Vinci Xi: can the costs of advanced technology be offset by clinical advantages? A case-matched cost analysis versus open approach.

Surgical endoscopy
BACKGROUND: Robot-assisted pancreatoduodenectomy (RPD) has shown some advantages over open pancreatoduodenectomy (OPD) but few studies have reported a cost analysis between the two techniques. We conducted a structured cost-analysis comparing pancrea...

A combined modelling of fuzzy logic and Time-Driven Activity-based Costing (TDABC) for hospital services costing under uncertainty.

Journal of biomedical informatics
Hospital traditional cost accounting systems have inherent limitations that restrict their usefulness for measuring the exact cost of healthcare services. In this regard, new approaches such as Time Driven-Activity based Costing (TDABC) provide appro...

Robot-assisted surgery in a broader healthcare perspective: a difference-in-difference-based cost analysis of a national prostatectomy cohort.

BMJ open
OBJECTIVE: To estimate costs attributable to robot-assisted laparoscopic prostatectomy (RALP) as compared with open prostatectomy (OP) and laparoscopic prostatectomies (LP) in a National Health Service perspective.

A framework for parameter estimation and model selection in kernel deep stacking networks.

Artificial intelligence in medicine
BACKGROUND AND OBJECTIVES: Kernel deep stacking networks (KDSNs) are a novel method for supervised learning in biomedical research. Belonging to the class of deep learning techniques, KDSNs are based on artificial neural network architectures that in...