ArticleEuropean radiology2013
Teleradiology from the provider's perspective-cost analysis for a mid-size university hospital.
Article in European radiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Modeling emergency radiology demand for FIFA 2026 and the Los Angeles 2028 Olympic Games using discrete-event simulation.Emergency radiology · 2026Article
- Structural equation modeling of findings in pediatric tele-neuroradiology: a 2-year nationwide study of turnaround time predictors and clinical decision support.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026Article
- Project Report on Telemedicine: What We Learned about the Administration and Development of a Binational Digital Infrastructure Project.Healthcare (Basel, Switzerland) · 2021Article
- Lifetime cost of unilateral cochlear implants in adults: a Monte Carlo simulation.The European journal of health economics : HEPAC : health economics in prevention and care · 2020Article
- The Latin American Brain Tumor Board teleconference: results of a web-based survey to evaluate participant experience utilizing this resource.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2019Article
- The Empirical Foundations of Teleradiology and Related Applications: A Review of the Evidence.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2016Review
- [Teleradiological report turnaround times: An internal efficiency and quality control analysis].Der Radiologe · 2015Article
- [Teleradiology - update 2014].Der Radiologe · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesReal costs of teleradiology services have not been systematically calculated. Pricing policies are not evidence-based. This study aims to prove the feasibility of performing an original cost analysis for teleradiology services and show break-even points to perform cost-effective practice.
methodsBased on the teleradiology services provided by the Greifswald University Hospital in northeastern Germany, a detailed process analysis and an activity-based costing model revealed costs per service unit according to eight examination categories. The Monte Carlo method was used to simulate the cost amplitude and identify pricing thresholds.
resultsTwenty-two sub-processes and four staff categories were identified. The average working time for one unit was 55 (x-ray) to 72 min (whole-body CT). Personnel costs were dominant (up to 68 %), representing lower limit costs. The Monte Carlo method showed the cost distribution per category according to the deficiency risk. Avoiding deficient pricing by a likelihood of 90 % increased the cost of a cranial CT almost twofold as compared with the lower limit cost.
conclusionsOriginal cost analysis is possible when providing teleradiology services with complex statutory requirements in place. Methodology and results provide useful data to help enhance efficiency in hospital management as well as implement realistic reimbursement fees. KEY POINTS: • Analysis of original costs of teleradiology is possible for a providing hospital • Results discriminate pricing thresholds and lower limit costs to perform cost-effective practice • The study methods represent a managing tool to enhance efficiency in providing facilities • The data are useful to help represent telemedicine services in regular medical fee schedules.
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Registered trials
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