Abstract
BACKGROUND: Effective management of heart failure (HF) requires ongoing symptom monitoring and comprehensive data documentation. Traditional clinical encounters often result in incomplete capture of patient-reported symptoms in the electronic medical record. Despite the adoption of electronic patient-reported outcomes (ePROs), limited integration with clinical workflows remains a key barrier. PURPOSE: We developed and evaluated a mobile-based pre-visit questionnaire system designed to enhance clinical workflow, patient-centeredness, and data completeness in outpatient cardiology care. METHODS: In a prospective single-center study, 796 patients (285 new cardiovascular patients, 511 HF follow-up patients) were invited (August–November 2024) to complete pre-visit questionnaires via mobile communication methods. Two tailored questionnaires (first visit, HF follow-up) assessed symptoms, comorbidities, medication adherence, and home-monitored data. Responses were incorporated into structured clinical documentation. Primary outcomes were pre-visit response rates and data completeness (composite score: dyspnea status, peripheral edema, medication adherence). Patient and provider satisfaction were assessed post-visit. RESULTS: The overall response rate was 36% (48% new patients; 30% HF follow-up). Responders were younger (62.0 ± 15.7 years vs. 69.8 ± 12.5 years; p < 0.001). Data completeness was significantly higher in responders (median score 3 [IQR 3–3]) compared to non-responders (0 [0–1]; p < 0.001). Patient satisfaction was high (>85% across domains of usability, appropriateness, and perceived usefulness); 92% expressed willingness to continue using the system. Clinical staff reported improved workflow efficiency and enhanced symptom and medication history capture. Mobile-based survey invitations minimized digital barriers, requiring no additional application installation or login. CONCLUSION: The mobile-based pre-visit questionnaire system demonstrated high feasibility, acceptability, and successful integration into routine cardiology workflows. It improved the capture of patient-reported information and clinical documentation while enhancing patient and staff experience. This model represents a scalable and adaptable approach to embedding electronic patient-reported outcomes in heart failure care. Future studies should assess its long-term impact and applicability across diverse clinical settings.