As our clients add more and more capabilities to OpenContent Case, one of our big new exciting developments will be the ability to extract proactive insight into the documents themselves based client definition of critical terms. This post will describe and present our initial solution for proactively identifying key terms for a case with a medical claim folder example. This post will also present our case analytic roadmap for adding additional analytics capabilities, including date identification, in the future.
OpenContent Case Analytics – Initial Development
While all of our solutions have always provided for full-text searching of documents, the typical user scenario required users to initiate the search and could get very cumbersome if they were looking consistently for multiple terms, all that had to be typed in and searched for individually.
The new analytics capabilities will allow a client to specify a custom term library for their specific case folder and proactively inform the user of when terms appear. This capability is demonstrated below:
OpenContent Case Analytics – Vision
Future capabilities will include the ability to extract service/document date from the text as well as provide the ability to display the appearance of the terms/documents within the Case folder by document date. We are also working on providing both the terms and quickly showing surrounding contextual text for analysis. Additional development within OpenAnnotate will allow for viewing of the key terms within the document themselves as well as adding to the term library while viewing the document.
Look forward to additional posts and let us know your thoughts below.
[…] based upon critical terms defined in the system. Read more about how this could be used in a Case Analytics for Insurance […]
[…] Hello Analytics/Machine Learning – Rather than having to always search for terms, the system can leverage machine learning/predictive search to alert users or better analyze patterns. See our thoughts on Case Analytics. […]