CALCULATING THE COSTS OF INTER-HOSPITAL PATIENT TRANSPORT SERVICE IN TD-ABC

Inter-hospital patient transport services involve transfers between hospitals for certain hospitalization needs. Despite the diversity of patients' illnesses, this type of transport is a common service utilized by the majority of patients. The aim of this study is to develop a time-driven activity-based costing (TD-ABC) model for calculating the costs of inter-hospital patient transport. This model helps to understand the real costs of hospital care services. It also helps decision-makers make smarter decisions about how to allocate and use resources. The qualitative research approach followed in this study enabled us to understand inter-hospital patient transport services and processes. The resulting model adapts flexibly to the various inter-hospital patient transport routes by Basic Life Support (BLS) ambulance. The implementation of this model in Morocco (184.56 MAD), with a well-defined round trip (from Hospital A to Hospital B and back to Hospital A), demonstrates its validity for cost calculation. However, the TD-ABC, when applied in the context of inter-hospital patient transport, encounters several limitations, notably process mapping and time estimation, which are the primary keys to allocating the resources consumed. The results show that TD ABC provides a pricing model that considers the cost of inter-hospital transport services. It makes the value of inter-hospital transfer costs visible in the complete patient care pathway. Indeed, when the model is used for all inter-hospital journeys, it enables decision-makers to assess the distribution of costs for each patient category and the variation in costs between similar services but with different journeys.

Authors

Publication Details

Journal
Transport Problems
Published
2025-09-30
DOI
https://doi.org/10.20858/tp.2025.20.3.15
Primary Topic
Healthcare Policy and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CALCULATING THE COSTS OF INTER-HOSPITAL PATIENT TRANSPORT SERVICE IN TD-ABC

Fouad Jawab, Abdelaziz Zerka
Transport Problems
Healthcare Policy and Management
article

CALCULATING THE COSTS OF INTER-HOSPITAL PATIENT TRANSPORT SERVICE IN TD-ABC

Fouad Jawab, Abdelaziz Zerka
article en

Abstract

Inter-hospital patient transport services involve transfers between hospitals for certain hospitalization needs. Despite the diversity of patients' illnesses, this type of transport is a common service utilized by the majority of patients. The aim of this study is to develop a time-driven activity-based costing (TD-ABC) model for calculating the costs of inter-hospital patient transport. This model helps to understand the real costs of hospital care services. It also helps decision-makers make smarter decisions about how to allocate and use resources. The qualitative research approach followed in this study enabled us to understand inter-hospital patient transport services and processes. The resulting model adapts flexibly to the various inter-hospital patient transport routes by Basic Life Support (BLS) ambulance. The implementation of this model in Morocco (184.56 MAD), with a well-defined round trip (from Hospital A to Hospital B and back to Hospital A), demonstrates its validity for cost calculation. However, the TD-ABC, when applied in the context of inter-hospital patient transport, encounters several limitations, notably process mapping and time estimation, which are the primary keys to allocating the resources consumed. The results show that TD ABC provides a pricing model that considers the cost of inter-hospital transport services. It makes the value of inter-hospital transfer costs visible in the complete patient care pathway. Indeed, when the model is used for all inter-hospital journeys, it enables decision-makers to assess the distribution of costs for each patient category and the variation in costs between similar services but with different journeys.

Transport ProblemsVol. 20(3)
Openalex Percentile: Top 63%
Healthcare Policy and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.