We propose to engage with all stakeholders (administrative, policy and decision makers, data providers, users of the system, technology developers) and survey the resources, opportunities, barriers and challenges and risks involved through a systematic process of “Solution Envisioning” in order to conceptualize an optimal systems architecture for pharmacovigilance and poly-pharmacy alerting and adverse reaction prevention for military patients with PTSD and/or TBI enabled by collaborative clinical information integration and sharing, in a network distributed across boundaries of institutions, organizational departments, health information systems, applications and databases. We will use the Semantic Web frameworks and technologies to develop the blue print for a pharmacovigilance and alerting network that can integrate structurally and semantically heterogeneous data across boundaries of multiple organizations, account for multi-organizational standards, vocabularies and terminologies, information models, contextualize multi-source data for disease classifications and hypothesis building and evaluation, and can enforce and enable policies, regulations and guidelines in accessing and uses of the information in a distributed and collaborative network. We hope that we will save lives, reduce morbidity and improve quality of life of military patients through reduction of clinical errors, reducing costs, improving standard of care, and implementing customizable preventive and alerting technologies.
Keywords: Semantic Web, Semantic Terminology Service, Semantic Information Integration, Pharmacovigilance, Postmarketing Surveillance, Clinical Research
