Pilot study evaluating a clinical decision support tool: “Virtual Lipidologist HTE-DLP 3.0”
Year: 2026
Type: article
Abstract: Introduction Clinical decision support systems (CDSS) can improve guideline adherence and reduce variability. HTE-DLP 3.0 (Virtual Lipidologist) provides recommendations based on scientific evidence, safety, and cost-effectiveness criteria. Methods A proof-of-concept study was conducted using 10 standardised clinical cases evaluated by 9 clinicians before and after the use of the HTE-DLP 3.0. Therapeutic variability was analysed using the Simpson Diversity Index and the kappa coefficient. Usability and user experience were assessed using the CSUQ and QoE questionnaires, together with a qualitative survey on strengths and areas for improvement. Results Baseline assessment showed very significant interprofessional variability. Uniform adherence to the shared algorithmic recommendation is observed. The CSUQ showed good efficiency scores (6.40) and high satisfaction (5.42/7), with error messages and the availability of clinical support tools identified as areas for improvement. The QoE showed high scores for data security (4.71), clinical usefulness (4.57), and social impact (4.57), with learning time being the lowest-rated aspect (2.85/5). Conclusions HTE-DLP 3.0 demonstrated the ability to act as a decision standardization tool based on clinical practice guidelines. Further studies in real-world clinical practice will be necessary to evaluate its clinical and cost-effectiveness impact.
Institutions: Universitat de Girona, Centro de Investigación en Red en Enfermedades Cardiovasculares, Institut d'Investigació Biomèdica de Girona, Centro de Investigación Biomédica en Red, Hospital Santa Caterina, Hospital Clínic de Barcelona, Hospital de Palamós, Hospital Jerez Puerta del Sur, Hospital Universitario de Jerez, Hospital de Figueres, Hospital Universitari Sant Joan de Reus, University Hospital Mútua de Terrassa
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $1,640
OpenAlex ID: W7135225712
