Model to detect COVID-19 signs and symptoms and pushing to OMOP CDM for research

**Overview**

- IMO’s COVID19 Signs and Symptoms NLP model extracts COVID-19 related signs and symptoms defined by WHO, as well as eight associated attributes (body location, severity, temporal expression, subject, condition, uncertainty, negation, and course) from clinical text. The extracted information is also mapped to standard concepts in the Observational Medical Outcomes Partnership Common Data Model.
- If there is need for FHIR outputs, the pipeline and model can support it.
- The model uses a hybrid approach of combining deep learning-based models, curated lexicons and pattern-based rules applied to quickly build, maintain, and expand using the proven industry NLP development tool (CLAMP), now owned by IMO. The workflow can be repurposed for other use cases, where existing clinical natural language processing tools need to be customized for specific information within a short time.
- At the time of original publication in June 2020 there were 16 healthcare organizations using and expanding upon the model.
- The main model was trained from three institutions and social media dataset of medical dialogues but has evolved since original release.

**Publications**

- [COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model ](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7480086/)

**Use Cases**

- Scrubbing through large unstructured, structured, clinical, claims, patient reports, etc. datasets take time and effort. This NLP model extracts signs, symptoms, and their attributes, and has measurable success using precision, recall, and F-measurements by exact match between manual and automatic annotation.

- The model can output tab-delaminated files of normalized clinical concepts, with a format ready for importing into the Note_NLP table of OMOP CDM as well as structured and codified data into the related structured fields of OMOP's CDM.

**Product Details**

- IMO’s COVID19 signs and symptoms NLP Model, Pipeline and underlying NLP and entity extraction solutions are award-winning operations which leverages more than 30 years of terminology experience to extract meaningful concepts and seamlessly map these entities to all appropriate standard codes. This leads to a more quickly deployed, trustworthy, accurate and usable dataset in a fraction of a time with less high-cost FTE People power.
- Comprehensively review Medical dialogues, Clinical notes, consumer reports, social media and other structured and unstructured datasets for different signs and symptoms of COVID-19. The output will easily conform to both codified NER outputs as well as models conforming to the OMOP CDM.
- Intuitive interface to review, accept and adjust matched data as needed
- Proven industry pipeline development platform (CLAMP) is now owned by IMO and offers updated out-of-the-box NLP models like COVID19 signs and symptoms NER and output in OMOP format
- Data processed through this NLP model is updated at least monthly to make sure you don't lose any sleep over miscoding or under-coding during regulatory updates
- Deploy locally, on cloud, or through SAAS connection points
- Please reach out with any questions