ArticleNPJ digital medicine2026
Appropriateness and utility of a clinical decision support system at the digital front door.
Article in NPJ digital medicine, 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
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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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Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital front doors combining symptom assessment and self-triage are increasingly used, yet real-world evidence on their clinical integration remains limited. This prospective post-market clinical follow-up evaluated a clinical decision support system embedded in routine care within a large private healthcare network. Adults completed a structured symptom assessment before consultation, and both participants and physicians completed predefined questionnaires. Treating physicians generally judged the urgency advice and assessment report to be appropriate. When the report was reviewed before the consultation, physicians reported greater preparedness and perceived efficiency gains. Participants generally reported complete symptom capture and improved preparedness. These findings provide prospective real-world evidence that a symptom assessment CDSS can generate appropriate outputs in routine care and may support both patient preparation and clinician workflow when integrated into practice.
Identifiers
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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.