Identification of therapies and clinical trials based on patients' genotype and phenotype using Match.
Match offers clinicians molecular decision support by leveraging literature mining, clinical trial data, and selected knowledgebases.
A pilot study using 80 clinical discharge summaries revealed that our ontology-driven semantic search framework effectively improves clinical task workflow and can contribute to the decision making process of the clinicians through faster, and more accurate information retrieval and visualization at the point of care.1
Unstructured data + Philips Clinical NLP = Better Matches, that get better with time.
1 Ontology-Driven Semantic Search for Brazilian Portuguese Clinical Notes. Stud Health Technol Inform. 2015;216:1022.
Light-up clinically actionable variants with filter
To speed up the reporting workflow, we uniquely embed the N-of-One variant database or your own curated knowledgebase natively on the platform. This integration enables lighting-up clinically actionable variants through filtering for rapidselection.
Highlight, annotate, filter, and prioritize
Our unique integration with N-of-One brings together one of the most
comprehensive genomic databases right inside IntelliSpace Genomics. This is in addition to all of the available public data sources the platform brings for comprehensive annotation, filtering and reliable prioritization.
What the integration with N-of-One means?
“Philips is a clear leader in clinical informatics, integrating and managing big data in the healthcare settings,” said Chris Cournoyer, CEO of N-of-One. “We believe that incorporating N-of-One’s Variant Database along with its patient case analysis and interpretation services will be further enabled by tight integration with this leading digital health solution.”
Intuitive filtering options
To focus on information and/or actionable variants from the large number detected by NGS, we provide flexible and visual filtering options. To make the filters easily accessible, we have classified them in QC, frequency, functional impact scores and database presence categories. Our visual filtering interface displays distribution of variants by read depth and allele frequency so that you can optimize your filters at a glance.
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