ReviewOrthopadie (Heidelberg, Germany)2026
[AI-based physician correspondence - promise or peril? : Project Group Artificial Intelligence of the Digitalization Working Group of the German Society for Orthopedics and Trauma Surgery].
Review in Orthopadie (Heidelberg, Germany), 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI)-driven discharge-letter tools aim to reduce documentation burden for clinicians.
objectiveMap the German-speaking market, compare feature sets and assess real-world feasibility, data security and costs.
methodsStructured market scan (Jan-Mar 2025); 14 vendors contacted, 4 questionnaires, and 4 live demos analysed. A 26-item feature matrix and directed qualitative content analysis were applied.
resultsResponse rate 28%. Full-stack systems (Atacama, Fraunhofer) covered 65% and 38% of features, producing almost complete letters yet requiring manual approval. Basic transcription tools (Grundig) generated raw text only. No product offered automatic ICD/OPS coding or therapy suggestions. Pricing ranged from € 49 per user/month to six-figure enterprise packages.
conclusionAI-generated letters are technically viable but limited by interoperability gaps, missing reimbursement and strict EU-AI-Act requirements. Hospitals should launch KPI-driven pilots with privacy-by-design to build evidence.
Indexed as
Identifiers
41436785What 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.