Resources
Press Releases
Case Studies
“It’s so nice to be able to have not just the template, but to be able to customize each query because that makes for a more compliant query so the ability to customize a query is just wonderful. I don’t know of any other system that does that. Also, being able to drag and drop clinical evidence from the chart over into our query is fantastic.” ~ Teresa Haslip, CDI Specialist
many amazing features that will benefit our CDI Program. Working with
the ezDI implementation team has been a great experience and he and his
team continue to make the necessary updates to make the application
work for our hospital” – Miranda Signor – Clinical Documentation Specialist at CMC
Fact Sheets
Mediscribes is a Nuance trained company with extensive experience with eScription™. Our Solution includes all eScription™ editing-administrative set up and management of the entire workflow.
Mediscribes is a Nuance trained company with extensive experience with eScription™. Our Solution includes all eScription™ editing-administrative set up and management of the entire workflow.
White Papers
Research Papers
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”.
In this paper, we present an efficient relation extraction system based on the shortest dependency path (SDP) generated from the dependency parsed tree of the sentence. It will be published at @ICON 2018.
This paper presents a treebank for the healthcare domain developed at ezDI. It was published at the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018).