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Clinical data partners Clinical data semantically enriched

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.

Semantic enrichment of clinical data
Icon - Improve accuracy
Improved accuracy
and quality of data

Enhance data reliability and precision for more effective clinical outcomes

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Better data integration and interoperability

Seamlessly combine diverse datasets for comprehensive and cohesive information

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Enhanced decision-making and patient outcomes

Utilize enriched data for informed clinical decisions and improved patient care.

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Increased efficiency
in R&D

Streamline research processes to accelerate innovation and development

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A better understanding
of patient populations

Gain deeper insights into patient demographics and health trends

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Improved data
management

Optimize data handling for enhanced organization and accessibility

Data unification and semantic enrichment in healthcare

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 Data

Clinical 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 of clinical data

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 Clinical Data Partners
Why partner with SciBite?

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.

Clinical data

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.

Data management platforms

Simplify architecture, automate processes and ensure better data governance with a smarter data management system that integrates across third-party platforms. SciBite technology has already been integrated into several data management platforms; discover how you can revolutionize your organization’s data management.

Electronic laboratory notebook (ELN) organizations

Enhance ELN platforms with SciBite’s semantic search capabilities by delivering more effective data annotation with the power to reveal valuable business and scientific insights. Understand the benefits of coupling your ELN data with SciBite’s semantic enrichment technology and revolutionize your ELN output today.

Enterprise search

We partner with leading enterprise search platforms to enhance real-time big data analytics for pharma and biotech companies. Semantic search capabilities improve the accuracy of search results allowing companies to make data-informed decisions. Find out more about how SciBite’s solutions can help unlock the potential of the R&D data in your business.

Knowledge graph providers

SciBite works with leading data analytics companies to deliver large sets of clean, machine-readable data that simply wouldn’t be possible using manual curation methods. Learn how, together, we can propel your digital transformation with the data, software, and service expertise to make large-scale clean data an opportunity, not a hurdle.

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