A5091980466- Electronic Health Records Systems
- Pharmaceutical Practices and Patient Outcomes
- Biomedical Text Mining and Ontologies
- Pharmacovigilance and Adverse Drug Reactions
- Medical Research and Practices
- Library Science and Information Systems
- Semantic Web and Ontologies
- Telemedicine and Telehealth Implementation
Abstract Background The national e-prescription system in Greece is one of the most important achievements e-health sector. Healthcare professionals’ feedback essential to ensure introduced tends their needs and reduces everyday workload. number surveys collecting users’ views limited, while existing studies include only a small participants. Methods In this study, healthcare perceptions on are explored. For this, questionnaire was distributed online, containing closed- open-ended questions...
Health Care Professionals (HCPs) are the main end-users of digital clinical tools such as electronic prescription systems. For this reason, it is high importance to include HCPs throughout design, development and evaluation a newly introduced system ensure its usefulness, well confirm that tends their needs can be integrated in everyday practice.
Adverse Drug Reactions (ADRs) are an important public health issue as they can impose significant and monetary burdens. This paper presents the engineering use case of a Knowledge Graph, supporting prevention ADRs part Clinical Decision Support System (CDSS) developed in context PrescIT project. The presented Graph is built upon Semantic Web technologies namely Resource Description Framework (RDF), integrates widely relevant data sources ontologies, i.e., DrugBank, SemMedDB, OpenPVSignal...
Adverse Drug Reactions (ADRs) are a crucial public health issue due to the significant and monetary burden that they can impose. Real-World Data (RWD), e.g., Electronic Health Records, claims data, etc., support identification of potentially unknown ADRs thus, could provide raw data mine ADR prevention rules. The PrescIT project aims create Clinical Decision Support System (CDSS) for during ePrescription uses OMOP-CDM as main model rules, based on software stack provided by OHDSI initiative....