Precision medicine is changing how we treat disease, moving from broad-acting therapies to therapies tailored to the individual—increasingly relying on real-world data, requiring various data sources. If managed correctly, this data can be used to develop robust predictive models, identify patients for enrolment into trials, and support biomarker discovery.
Data unification aims to de-silo data. Hospital systems are developing data aggregation solutions to bring data together, which is crucial for developing predictive models to inform treatment choices. City of Hope has created an enterprise-wide platform and precision medicine program to unlock complex datasets.
Enhance data reliability and precision for more effective clinical outcomes
Seamlessly combine diverse datasets for comprehensive and cohesive information
Utilize enriched data for informed clinical decisions and improved patient care.
Streamline research processes to accelerate innovation and development
Gain deeper insights into patient demographics and health trends
Optimize data handling for enhanced organization and accessibility
Data unification aims to de-silo data. Hospital systems are developing data aggregation solutions to bring data together, which is crucial for developing predictive models to inform treatment choices. City of Hope has created an enterprise-wide platform and precision medicine program to unlock complex datasets.
POSEIDON (Precision Oncology Software Environment Interoperable Data Ontologies Network), developed on DNAnexus<®, enables analysis and visualization of patient clinico-genomic data and public data sources.
Harmonization of Clinical DataClinical data not only needs to be compiled but harmonized. Using ontologies, data is aligned to and annotated with concepts rather than existing as strings. The ability to update public ontologies, such as adding a new drug name in a clinical trial, is paramount. CENtree, SciBite’s enterprise ontology management tool, is used by the City of Hope to centrally manage, edit, and serve ontologies to POSEIDON.
Leverage CENtree API to guide data entry into clinical trial platforms, enabling ontology backing at the point of data capture. Unlocking the value in clinical data and supporting precision medicine initiatives is both a significant challenge and a huge step forward. Patients benefit from informed and data-driven treatment plans, clinical trials can be designed, and patients enrolled far more effectively.
Semantic enrichment makes finding, accessing, and sharing data easier, breaking down silos and improving collaboration. This is particularly important in the pharmaceutical and healthcare industries, where data sharing is crucial for advancing treatments and finding cures.
This alignment of clinical data with ontologies enables researchers and healthcare professionals to better understand the relationships between different pieces of information, leading to improved decision-making and patient outcomes. Using ontologies in clinical data also facilitates sharing and reusing data between other organizations and research initiatives.
Our semantic software creates clean, machine-readable data and is widely used by major corporations worldwide. See how SciBite can transform your data processing, analysis and management.
Aligning clinical data to ontologies makes datasets interoperable and supports researchers and healthcare professionals in developing a greater understanding of the relationships between them. Unlock the full potential of your clinical data by working with SciBite.
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