Introduction: Clinical decision support systems 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 standardized clinical cases evaluated by 9 clinicians before and after the use of the HTE-DLP 3.0. Therapeutic variability was analyzed 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.
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