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Appropriateness and utility of a clinical decision support system at the digital front door
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  • Published: 21 May 2026

Appropriateness and utility of a clinical decision support system at the digital front door

  • Andreia Pimenta  ORCID: orcid.org/0000-0002-9990-45811 na1,
  • Nisha Kini  ORCID: orcid.org/0000-0002-8234-94381 na1,
  • Fabienne Cotte  ORCID: orcid.org/0000-0002-2898-422X1,
  • Filipa Dias Lourenço  ORCID: orcid.org/0000-0003-4921-62352,
  • Miguel Paiva Pereira  ORCID: orcid.org/0000-0002-3783-61142,
  • Marcel Schmude  ORCID: orcid.org/0000-0002-7519-17241,
  • Athena Lemesiou  ORCID: orcid.org/0009-0005-3593-42701,
  • Stephen Gilbert  ORCID: orcid.org/0000-0002-1997-16893,
  • Tauseef Mehrali  ORCID: orcid.org/0000-0002-8086-51131,
  • Micaela Seemann Monteiro  ORCID: orcid.org/0009-0009-5643-83552 &
  • …
  • Pedro Flores  ORCID: orcid.org/0000-0002-8991-19802 

npj Digital Medicine (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Diseases
  • Health care
  • Medical research

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.

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Acknowledgements

This work was supported by the Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung) through the European Union-financed NextGenerationEU program under grant number 16KISA100K, project PATH—“Personal Mastery of Health and Wellness Data.”

Author information

Author notes
  1. These authors contributed equally: Andreia Pimenta, Nisha Kini.

Authors and Affiliations

  1. Ada Health GmbH, Neue Grünstraße 17, Berlin, Germany

    Andreia Pimenta, Nisha Kini, Fabienne Cotte, Marcel Schmude, Athena Lemesiou & Tauseef Mehrali

  2. CUF - Gestão de clientes e de serviços de saúde, S.A., Avenida do Forte, N 3, Edifício Suécia III, Carnaxide, Portugal

    Filipa Dias Lourenço, Miguel Paiva Pereira, Micaela Seemann Monteiro & Pedro Flores

  3. Else Kröner-Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany

    Stephen Gilbert

Authors
  1. Andreia Pimenta
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  2. Nisha Kini
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  3. Fabienne Cotte
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  4. Filipa Dias Lourenço
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  5. Miguel Paiva Pereira
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  6. Marcel Schmude
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  7. Athena Lemesiou
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  8. Stephen Gilbert
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  9. Tauseef Mehrali
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  10. Micaela Seemann Monteiro
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  11. Pedro Flores
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Corresponding author

Correspondence to Pedro Flores.

Ethics declarations

Competing interests

A.L. is employed by Ada Health. A.P., N.K., M.S. and T.M. are former employees of Ada Health. S.G. and F.C. are consultants for Ada Health, and S.G., T.M., A.P. and F.C. hold share options in the company. S.G. declares a nonfinancial interest as an Advisory Group member of the EY-coordinated “Study on Regulatory Governance and Innovation in the field of Medical Devices” conducted on behalf of the Directorate-General for Health and Food Safety (SANTE) of the European Commission. S.G. declares the following competing financial interests: he has or has had consulting relationships with Una Health GmbH, Lindus Health Ltd., Flo Ltd, ICURA ApS, Rock Health Inc., Thymia Ltd., FORUM Institut für Management GmbH, High-Tech Gründerfonds Management GmbH, Prova Health Ltd, Directorate-General for Research and Innovation Of the European Commission. T.M. declares the following competing financial interests: he has or has had consulting relationships with Suvera & iPlato Healthcare. F.C. declares the following competing financial interests: she has or has had consulting relationships with Flo Ltd and Amboss SE. The remaining authors declare no competing interests.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Cite this article

Pimenta, A., Kini, N., Cotte, F. et al. Appropriateness and utility of a clinical decision support system at the digital front door. npj Digit. Med. (2026). https://doi.org/10.1038/s41746-026-02711-5

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  • Received: 19 November 2025

  • Accepted: 25 April 2026

  • Published: 21 May 2026

  • DOI: https://doi.org/10.1038/s41746-026-02711-5

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