Established to meet the growing need for innovative data solutions for electronic medical and healthcare records, Wired Informatics addresses the problem of extracting information and structuring data that has overwhelmed providers of all sizes, from physician networks and universities to insurance and medical transcription services.
"There has been a tremendous increase in demand for relevant enterprise-ready natural language processing solutions specifically tailored for the clinical domain," said Dr.
"It's exciting to see how basic research in computational linguistics has been applied to electronic health records (EHRs). Machine understanding of the narrative texts that we, as clinicians, use to communicate with one another in the EHR is proving to be essential for a much more precise and clinically relevant understanding of our patients. This is true both for biomedical research and for clinical care," said Director of
The company's flagship product, InvenioTM, is an enterprise natural language processing solution that provides leading health care providers and researchers with an innovative solution to extract and leverage knowledge contained in clinical notes, among other applications.
Invenio significantly helps researchers, hospitals and medical record processors address the myriad challenges of personalized medicine and clinical investigation. Challenges commonly faced by hospitals and care providers across the healthcare ecosystem include:
•Structuring Data -converting unusable/unstable data (e.g., plain-text clinical and patient notes)•Analytics/Searching/Discovery/Segmentation -fine-grain data mining of patient profiles and applications of advanced multivariate analytics to combine biomarker information with clinical data•Annotations/Semantics -unifying diverse datasets; creating rich linguistic/semantic annotations that can be utilized by clinical decision support systems and research•Standardization/Interoperability -transforming data formats across EHR's to standard XML output and ontology codes•Big Data/Scalability -easily deploying on local standard commodity hardware, dedicated clusters, and/or Cloud computing frameworks
Invenio-normalized output is the foundation for implementing several use cases for researchers and practitioners in the clinical domain. Key application areas include automated phenotyping, cohort identification, comparative effectiveness, meaningful use, quality measurements, clinical practice, epidemiology, and more.
At the core of Invenio are several key Apache Open Source software products that extract, structure, and normalize knowledge embedded in the clinical narrative within electronic health records. They include: Apache cTAKES (clinical Text Analysis and Knowledge Extraction System), Apache UIMA (Unstructured Information Management Architecture), Apache Lucene/Solr information retrieval platform and the Apache OpenNLP natural language processing toolkit.
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