Healthcare and Life Sciences
Develop knowledge graph powered AI solutions
Quickly build knowledge graphs by picking up relevant public datasets from our large inventory, loading highly normalized and semantically interlinked data in your custom knowledge graph, ingesting your proprietary data and feeding your AI and analytical tools with high quality data with traceable provenance.
Sectors we benefit:
- Health Insurance
- Medical Devices
- Consumer Goods
How You’ll Benefit
Improve insight discoverability
Unlock information hidden in structured and unstructured documents stored in regulated data management systems.
Apply advanced analytics
Automatically process diverse textual data streams to identify hidden insights, optimize manual workflows (e.g., tracing drug safety signals) and save valuable time.
Empower F.A.I.R. knowledge sharing
Improve data interoperability through implementing FAIR data principles to foster better collaboration and information reuse.
Enhance research intelligence
Еasily monitor newest trends and developments across your industry, new products, filed patents, mentions in news, etc.
Rely on data-driven decisions
Easily manage all relevant information for your business process(es) and research activities into a highly interconnected network of knowledge.
Automate your claim processing
Maintain referential knowledge base of known medical facts for checking inconsistencies in health insurance claims.
Discovery in Clinical Trials
Quickly and easily find the information you need to address requests from regulatory agencies or design your research activities.
Medical Coding of Patient Records
Break the productivity barriers and transform the raw patient data into structured knowledge.
Knowledge Graph Drug Discovery
Extract knowledge and provide provenance for each underlying fact that supports your the scientific research.
Advanced Drug Safety
Uncover hidden patterns, new correlations and trends that can support stakeholders in taking PV related business decisions.
Boost your clinical intelligence by interlinking your data to improve availability and accessibility of high-quality information across the enterprise.
Medical Claims Processing
Automatically match billable activities with the medical necessities and the recommendations from regulators.
Medical Devices and Drug Products Market Intelligence
Automate some of the most labor-intensive steps in the market intelligence workflow.
A talk by Ilian Uzunov, Sales Director Life Sciences and Healthcare, and Todor Primov, Head of Life Sciences and Healthcare, presented at the Ontotext and Partners Knowledge Graph Forum in October 2021.
A talk by Martin Romacker, Senior Principal Scientist in Scientific Solution Engineering and Architecture at Roche, presented at the Ontotext and Partners Knowledge Graph Forum in October 2021.
Ontotext works with a leading US Children’s Hospital to build a comprehensive knowledge graph for tracking the scientific activities of their faculty members.
metaphacts and Ontotext build a solution providing highly interlinked information across various data sources and offering a modular approach to R&D data discovery and knowledge consumption.
A big provider of health insurance in the US selects Ontotext for a 4-month PoC that aimes to verify the capabilities of knowledge graph technology applied over public data to speed up the discovery and evaluation of new treatment therapies.
Ontotext & Wipro Help Top 5 Global Pharma Company Establish Operational & Transformational Focus to Address Scientific Research Challenges
A global Pharma company uses Ontotext’s smart semantic similarity search solution to quickly process large volumes of Regulatory questions and scale up the information extraction.
News, Events & Blog Posts
Research Projects & Other Resources
AIDAVA aims at unlocking the full potential wealth of knowledge siloed inside healthcare systems by enabling interoperability, AI-readiness and reuse-readiness of heterogeneous personal health data (PHD) on institutional, national and EU scale.
Classify Oncology Diseases: Espanol (CODE) is a project for AI-driven automatic ICD10 diagnosis coding of oncology medical records in Spanish funded by the European Union’s Horizon 2020 research and innovation programme as an AI4EU Solution for the challenge “Identification of Colon Cancer Risk Factors”
In this webinar, Ontotext and metaphacts present a modular approach to R&D data discovery and knowledge consumption in Life Sciences & Pharma using metaphactory & GraphDB
In this webinar, Ontotext and metaphacts present an approach to kickstart your knowledge graph journey and get you from idea to production in days
TheFSM aims to develop an industrial data platform improving the way food certification takes place in Europe and give it a digital boost.
The EXtreme-scale Analytics via Multimodal Ontology Discovery & Enhancement project (EXA MODE) is a Big Data project for the Healthcare, involving the development and release of extreme analytic methods and tools that are adopted in decision-making by hospitals.
In this webinar, we will demonstrate how the complex process of capturing all important AERs data elements of a semantic literature in a consistent way can be automated with the help of semantic technologies.