Bite-sized collection of tips, tools and resources for productive workflows
Clinical Document Improvement Software
Integrated CDI workflow enhanced with Automation and Electronic Query Improved Clinical Documentation leading to better compliance and reimbursement. Deeper collaboration between CDI specialist, Physician, Coder, Audit, Compliance and Revenue Cycle Management.
Ontological Approach for Knowledge Extraction from Clinical Documents
In clinical NLP (Natural Language Processing), Knowledge extraction is a very important task to develop a highly accurate information retrieval system. The various approaches used to develop such systems include a rule-based approach, a statistical approach, shortest path algorithm, or a hybrid of these approaches. Read EZDI’s research paper to learn more about the “Ontological Approach for Knowledge Extraction from Clinical Documents”.
Creation of Unambiguous Centralized Knowledge Base from UMLS Metathesaurus
In this paper, we describe our methodology of curating the UMLS metathesaurus to create a centralized knowledge base that can be used as a knowledge base for a variety of clinical NLP systems. We have also developed a process of updating the curated centralized knowledge base with a newer version of UMLS such that there is no need to repeat the whole process.
Annotation of a Large Clinical Entity Corpus
In this paper, we have described in detail the annotation guidelines, annotation process and our approaches in creating a CER (clinical entity recognition) corpus of 5,160 clinical documents from forty different clinical specialties. Published at the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP-2018), pp. 2033-2042. 2018.