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Your search keyword '"Martínez-García, Alicia"' showing total 3 results
Start Over Author "Martínez-García, Alicia" Topic clinical decision support system
3 results on '"Martínez-García, Alicia"'

1. A clinical decision support system (KNOWBED) to integrate scientific knowledge at the bedside: development and evaluation study

Author

Martínez-García, Alicia, Naranjo-Saucedo, Ana Belén, Rivas, José Antonio, Romero Tabares, Antonio, Marín Cassinello, Ana, Andrés Martín, Anselmo, Sánchez Laguna, Francisco José, Villegas, Román, Pérez León, Francisco de Paula, Parra Calderón, Carlos Luis, and Universidad de Sevilla. Departamento de Farmacología, Pediatría y Radiología

Subjects
Evidence-based medicine, Clinical decision support system, Scientific knowledge integration
Abstract

Background: The evidence-based medicine (EBM) paradigm requires the development of health care professionals' skills in the efficient search of evidence in the literature, and in the application of formal rules to evaluate this evidence. Incorporating this methodology into the decision-making routine of clinical practice will improve the patients' health care, increase patient safety, and optimize resources use. Objective: The aim of this study is to develop and evaluate a new tool (KNOWBED system) as a clinical decision support system to support scientific knowledge, enabling health care professionals to quickly carry out decision-making processes based on EBM during their routine clinical practice. Methods: Two components integrate the KNOWBED system: a web-based knowledge station and a mobile app. A use case (bronchiolitis pathology) was selected to validate the KNOWBED system in the context of the Paediatrics Unit of the Virgen Macarena University Hospital (Seville, Spain). The validation was covered in a 3-month pilot using 2 indicators: usability and efficacy. Results: The KNOWBED system has been designed, developed, and validated to support clinical decision making in mobility based on standards that have been incorporated into the routine clinical practice of health care professionals. Using this tool, health care professionals can consult existing scientific knowledge at the bedside, and access recommendations of clinical protocols established based on EBM. During the pilot project, 15 health care professionals participated and accessed the system for a total of 59 times. Conclusions: The KNOWBED system is a useful and innovative tool for health care professionals. The usability surveys filled in by the system users highlight that it is easy to access the knowledge base. This paper also sets out some improvements to be made in the future.

Published
2021

2. A Personalized Ontology-Based Decision Support System for Complex Chronic Patients: Retrospective Observational Study.

Author

Román-Villarán, Esther, Alvarez-Romero, Celia, Martínez-García, Alicia, Antonio Escobar-Rodríguez, German, García-Lozano, María José, Barón-Franco, Bosco, Moreno-Gaviño, Lourdes, Moreno-Conde, Jesús, Antonio Rivas-González, José, and Luis Parra-Calderón, Carlos

Subjects
CHRONIC diseases, INFORMATION & communication technologies, MEDICAL care, MOBILE health, MOBILE apps
Abstract

Background: Due to an increase in life expectancy, the prevalence of chronic diseases is also on the rise. Clinical practice guidelines (CPGs) provide recommendations for suitable interventions regarding different chronic diseases, but a deficiency in the implementation of these CPGs has been identified. The PITeS-TiiSS (Telemedicine and eHealth Innovation Platform: Information Communications Technology for Research and Information Challenges in Health Services) tool, a personalized ontology-based clinical decision support system (CDSS), aims to reduce variability, prevent errors, and consider interactions between different CPG recommendations, among other benefits. Objective: The aim of this study is to design, develop, and validate an ontology-based CDSS that provides personalized recommendations related to drug prescription. The target population is older adult patients with chronic diseases and polypharmacy, and the goal is to reduce complications related to these types of conditions while offering integrated care. Methods: A study scenario about atrial fibrillation and treatment with anticoagulants was selected to validate the tool. After this, a series of knowledge sources were identified, including CPGs, PROFUND index, LESS/CHRON criteria, and STOPP/START criteria, to extract the information. Modeling was carried out using an ontology, and mapping was done with Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) and Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT; International Health Terminology Standards Development Organisation). Once the CDSS was developed, validation was carried out by using a retrospective case study. Results: This project was funded in January 2015 and approved by the Virgen del Rocio University Hospital ethics committee on November 24, 2015. Two different tasks were carried out to test the functioning of the tool. First, retrospective data from a real patient who met the inclusion criteria were used. Second, the analysis of an adoption model was performed through the study of the requirements and characteristics that a CDSS must meet in order to be well accepted and used by health professionals. The results are favorable and allow the proposed research to continue to the next phase. Conclusions: An ontology-based CDSS was successfully designed, developed, and validated. However, in future work, validation in a real environment should be performed to ensure the tool is usable and reliable. [ABSTRACT FROM AUTHOR]

Published
2022
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