Clinerion will implement Semedy’s Clinical Knowledge Management System (CKMS) to manage and maintain the terminologies in Patient Network Explorer provided by the partners in Clinerion’s hospital network around the world.
Semedy’s Clinical Knowledge Management System (CKMS) will empower Clinerion’s Patient Network Explorer to integrate, manage, and maintain multilingual terminologies, ontologies, and data dictionaries provided by Clinerion’s different hospital partners around the world. The various terminologies will be mapped to commonly used ones such as ICD10, ATC, SNOMED and LOINC. The resulting integration will enable scalable information exchange, semantic interoperability, and advanced analytics.
This complements Clinerion’s pre-existing proprietary patent-protected Ontology Management System by providing a system for managing and mapping the database of terminologies and ontologies powering Patient Network Explorer as Clinerion’s network of partner institutions continues to expand.
An advanced semantic reasoning engine powers Semedy’s knowledge management system to guarantee semantic and structural integrity of any knowledge base. The system includes an extensible and collaborative authoring environment, version control and lifecycle management, dynamic and static links between knowledge assets, and import and export services. CKMS can be used to curate and link terminologies, ontologies, information models, and decision support rules, among other types.
Patient Network Explorer is connected to hospitals and healthcare organizations around the world, currently comprising over 74 M patients in 135 sites in 19 countries. Data across the platform is harmonized and this allows users to query all the live hospitals in the network simultaneously, giving researchers a view over the entire patient data pool at once, for further analysis.
“Semedy is excited with the opportunity to contribute to Clinerion's data integration and interoperability efforts,” says Roberto Rocha, Managing Director of Semedy. “We believe that our knowledge management platform will help Clinerion integrate and semantically enhance clinical data assets from multiple countries.”
“As Clinerion’s hospital network expands into more countries-and therefore more, different hospital information systems-Semedy’s knowledge management system will enable Patient Network Explorer to manage all the different terminologies, ontologies and dictionaries much more powerfully and flexibly,” says Ian Rentsch, CEO of Clinerion. “This will ease and speed up implementation of our system throughout the world.”
FDA Finalizes Decentralized Clinical Trial Guidance
November 25th 2024The FDA's guidance is part of a broader effort to modernize clinical trials, improve efficiency, reduce participant burden, and expand access, particularly for underrepresented populations and those in geographically or economically constrained areas.
Driving Diversity with the Integrated Research Model
October 16th 2024Ashley Moultrie, CCRP, senior director, DEI & community engagement, Javara discusses current trends and challenges with achieving greater diversity in clinical trials, how integrated research organizations are bringing care directly to patients, and more.
AI in Clinical Trials: A Long, But Promising Road Ahead
May 29th 2024Stephen Pyke, chief clinical data and digital officer, Parexel, discusses how AI can be used in clinical trials to streamline operational processes, the importance of collaboration and data sharing in advancing the use of technology, and more.
Patient Engagement Platform Checklist
November 22nd 2024Modern clinical trials are more complex than ever, and one significant reason is the increased focus on patient engagement. Incorporating a patient engagement platform into your clinical trial enhances the patient experience and can lead to more successful trials with stronger, more reliable outcomes. We put together this helpful checklist of key features to look out for when choosing a platform for your study.
The Rise of Predictive Engagement Tools in Clinical Trials
November 22nd 2024Patient attrition can be a significant barrier to the success of a randomized controlled trial (RCT). Today, with the help of AI-powered predictive engagement tools, clinical study managers are finding ways to proactively reduce attrition rates in RCTs, and increase the effectiveness of their trial. In this guide, we look at the role AI-powered patient engagement tools play in clinical research, from the problems they’re being used to solve to the areas and indications in which they’re being deployed.