Pilot study evaluating a clinical decision support tool: “Virtual Lipidologist HTE-DLP 3.0”
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.
Fields of Study & Subjects
Electronic Health Records Systems
Artificial Intelligence in Healthcare and Education
Clinical practice guidelines implementation
Publication details
- Journal / source
- Clínica e Investigación en Arteriosclerosis (English Edition)
- Volume
- 38
- Issue
- 5
- Pages
- 500893–500893
- Publication date
- 13 March 2026
- Language
- EN