ReviewOncology2026
Business Intelligence in Radiation Oncology: About Potential and Limits.
Review in Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
<p>Background: Business intelligence (BI) solutions are nowadays offered as part of radiation oncology information systems. They support state-of-the-art extraction of structured data for business and research use cases. The variety of use cases often comes with specific customizations for which IT experts are required. Summary: We report about our experience in implementing a BI module in a radiation oncology department, discuss key challenges, and give some recommendations for addressing them. Key Messages: The effectivity of a BI solution strongly interacts with the diverse IT ecosystem of the hospital. It is worth starting with concrete business requirements and involve IT experts from the hospital data warehouse (DWH) or architecture teams. Integration into the enterprise DWH will add value to secondary use of data in the line of good clinical practices. </p>.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.