The inclusion of a Holter Reading software in the clinical practice of cardiology shows a multi-level high positive impact in healthcare: a real-world implementation study in three Spanish hospitals
The inclusion of an AI-based software for reading Holter tests may have great impact in distinguishing normal Holter tests, leading to time savings and improved clinical efficiency.
Authors
- José Ángel Cabrera (ORCID: https://orcid.org/0000-0001-6380-1030)
- Ion Cristóbal (ORCID: https://orcid.org/0000-0003-0234-4213)
- Bernadette Pfang (ORCID: https://orcid.org/0000-0002-0317-2778)
- Cristina Caramés (ORCID: https://orcid.org/0000-0002-5748-7628)
- Juan Antonio Álvaro de la Parra (ORCID: https://orcid.org/0009-0006-4121-1041)
- David González‐Casal (ORCID: https://orcid.org/0000-0003-2237-2545)
- María Elvira Barrios Garrido-Lestache (ORCID: https://orcid.org/0000-0001-8925-6288)
- José Manuel Rubio Campal (ORCID: https://orcid.org/0000-0002-6159-6472)
- Francisco de Asis Diaz-Cortegana
- Petra Sanz-Mayordomo
Institutions
- Hospital Universitario Rey Juan Carlos (ES)
- Hospital Universitario Quirónsalud Madrid (ES)
- Hospital Quirónsalud Barcelona (ES)
- Hospital Universitario Fundación Jiménez Díaz (ES)
- Hospital Universitario Infanta Leonor (ES)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2025-05-24
- DOI
- https://doi.org/10.1093/ehjdh/ztaf058
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00