Evidence map›Paper›PMID 41291738›Full record

ArticleBMC health services research2025

High effectiveness of the digitalization of the GESIDA clinical guideline for HIV patient management.

Víctor Montosa-I-Micó, Cecilia Tortajada, Álvaro Navarro Batet, Raquel Alcalde Castillo, Miguel Camacho, David Rosello Perez, Daniel Sánchez García, Juan M García-Gómez

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Víctor Montosa-I-MicóInstituto Universitario de Tecnologías de la Información y Comunicaciones (ITACA), BDSLab, Universitat Politècnica de València, Valencia, 46022, Spain. vicmonm5@upvnet.upv.es.
Cecilia TortajadaInfectious Disease Unit, Internal Medicine Department, Hospital Arnau de Vilanova, Valencia, Spain.
Álvaro Navarro BatetInternal Medicine Service, Hospital Arnau de Vilanova, Valencia, Spain.
Raquel Alcalde CastilloInternal Medicine Service, Hospital de Denia, Alacant, Spain.
Miguel CamachoInformatics Service, Hospital Arnau de Vilanova, Valencia, Spain.
David Rosello PerezInformatics Service, Hospital Arnau de Vilanova, Valencia, Spain.
Daniel Sánchez GarcíaInstituto Universitario de Tecnologías de la Información y Comunicaciones (ITACA), BDSLab, Universitat Politècnica de València, Valencia, 46022, Spain.
Juan M García-GómezInstituto Universitario de Tecnologías de la Información y Comunicaciones (ITACA), BDSLab, Universitat Politècnica de València, Valencia, 46022, Spain.

Funding

Generalitat Valenciana Programa INVESTIGO (INVEST/2022/298)ViiV Healthcare Optimal model of care for patients with HIV infection program
6 · The paper itself

Abstract

introductionThe management of HIV patients is inherently complex, requiring the integration of evolving clinical guidelines such as GESIDA 2023. These guidelines are extensive and demand coordinated implementation by healthcare professionals with diverse expertise. These challenges highlight the need for strategies that facilitate their adoption and improve patient care. In this study, we evaluated the impact of digitalizing clinical guidelines for AIDS patients on the efficiency of the clinical workflow in the internal medical services at a secondary public hospital. For this, we developed HIV-matic, a software to automate the implementation of the Spanish clinical guideline (GESIDA) for HIV management. MATERIALS &

methodsThe software codifies the guideline into a comprehensive set of 69 "if-then" rules within the CLIPS environment, including AIDS data, antiretroviral treatment recommendations, biochemistry data, comorbidities, and neoplasm screenings. These rules rely on 103 input variables, categorized into laboratory data from the Laboratory Information System (Gestlab), diagnostic data from the Hospital Information System (OrionClinic), and specific information compiled by the doctors through a structured questionnaire in the HIV-matic web interface. The clinical guideline digitalization was evaluated on a generated dataset of 191 prospective unique patient visits attended by clinical authors of the manuscript between 24/09/2024 and 20/12/2024. Evaluation metrics were calculated for rules and patients.

resultsWhen evaluating the rules, we observed a precision of 99,82%, a recall of 99,36%, a specificity of 99,96%, and an F1 score of 99,59% across the test dataset. Moreover, 87.43% of the evaluated patients received 100% correct messages.

conclusionsThe GESIDA, implemented as a computerized clinical guideline in the HIV-matic software, supports clinicians in decision-making with a high level of performance. Its modular design and seamless integration with existing systems in the hospital make it scalable and adaptable for broader deployments in the health service for HIV patients.

Indexed as

HIV InfectionsPractice Guidelines as TopicSoftwareHumansSpainWorkflowClinical guidelineDecision supportDigitalizationEvaluationHuman immunodeficiency viruses (HIV)Internal medicineTechnology assessment

Identifiers

PMID41291738
PMCPMC12649069

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.