Abstract Background Vaccination remains one of the greatest success stories in public health as cost-effective interventions to reduce morbidity and mortality from infectious diseases at the population level. However, the COVID-19 pandemic created unprecedented challenges to the immunization sector. Uptake of routine childhood and adolescent vaccinations was forestalled by challenges related to pandemic lockdowns/quarantine, reduced patient-provider interactions, parental reluctance to seek preventative services, poor access to health services, and loss of income and/or health insurance. Compared to pre-pandemic estimations, the pandemic era brought a consequential decline in coverage of all vaccines recommended by the Advisory Committee on Immunization Practices (ACIP). This study sought to address suboptimal adolescent vaccine delivery systems and bolster uptake in the post-pandemic era with the introduction of precision health promotion strategies centered around the use of Personal Health Libraries (PHL). Methods Leveraging artificial intelligence (AI), and semantic web technologies to integrate contextual knowledge (i.e., clinical, biomedical, and SDoH data) with patient preferences, proposed PHL platforms could aid in generating personalized evidence-based recommendations useful to both care provider promotion of vaccination and mitigating patient and caregiver hesitancy. The proposed application stands to provide customized digital health interventions by 1) facilitating remote knowledge acquisition, exchange, and visualization of the benefits of on-time vaccination, 2) improving health information-seeking behaviors to reduce hesitancy, 3) bolstering patient reminder and recall systems for follow-up and series completion, and 4) learning usage patterns to incorporate end-user preferences to empower patients, promote best practices, and enable them to make informed health decisions. Results The proposed PHL would serve as an ecosystem to manage and deliver tailored vaccine-related information to inform health decision-making regarding ACIP-recommended immunizations. Such a resource could administer health education and promotion that addresses common misconceptions regarding vaccination, alleviate safety, efficacy, and side effect concerns, and deliver evidence-based support of vaccines as primary protective measures (i.e., cancer prevention). Conclusion The use of PHL would enable rapid and real-time collection and interpretation of patient data beyond the traditional clinical setting, supplying care providers with tools for optimal vaccination recommendation to bolster uptake in the post-pandemic era. Moreover, the application would enable patients and caregivers to readily access vital health information and play a crucial role in addressing the obstacles encountered when seeking accurate and dependable vaccine-related information.
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