Метка: data mining

Subrogation Prediction Through Text Mining and Data Modeling

Sergei Ananyan

June 10th, 2008. Sergei Ananyan of Megaputer Intelligence presents at the 4th Annual National Workers’ Compensation Subrogation Strategies Executive Summit.   Synopsis Insurance companies have to timely process overwhelming volumes of claims, frequently quite complex and lengthy. In this challenging environment, they can easily miss valid subrogation opportunities and thus not recover the money they are entitled to. Subrogations help recover substantial funds, but only a small percentage of cases represent valid subrogation opportunities. Currently, insurance companies task either individual adjusters or special recovery teams with determining the subrogation potential of handled claims. However, there is a general agreement in the industry that manual analysis of subrogation potential is rather inaccurate and time consuming, and a better solution is being sought. Intelligent automated systems combining text mining and data modeling techniques proved to be efficient in identifying valid subrogation opportunities. Such systems exploit the joint use of linguistic and semantic text…

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PolyAnalyst Improves Patient Safety at the U.S. Dept. of Veterans Affairs

Sergei Ananyan

February 12, 2008. The National Center for Patient Safety (NCPS) of the Department of Veterans Affairs (VA) implements text mining technologies to enhance the analysis of patient safety reports. The VA NCPS analysts are utilizing the PolyAnalyst™ data and text mining system from Megaputer Intelligence to detect common patterns, identify emerging trends, and determine root causes of issues in patient safety reports received from the 153 hospitals operated by the VA. The goal of the VA NCPS is the reduction and prevention of inadvertent harm to patients as a result of care. To accomplish this goal, the VA analysts strive to learn from safety reports representing close calls, also known as “near misses,” which occur at a much higher frequency than actual adverse events. This approach focuses efforts on continually identifying potential problems and proactively fixing them to improve patient safety and quality of care. The most informative part of…

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Discovering Hidden Threats Through Data and Text Mining of Historical Safety Reports

Sergei Ananyan
Sergei Ananyan speaks about "Discovering Hidden Threats Through Data and Text Mining of Historical Safety Reports" When: February 25-26, 2004 Where: Walt Disney World, Florida View the Homeland Security Conference Website Modern analytical technologies of data and text mining have opened new opportunities for better safety management through automated intelligent analysis of available safety reports. Advanced analysis of historical safety reports can reveal important hidden information about existing vulnerabilities and threats. This information arms safety officer with key knowledge necessary for easier prevention of future security breakdowns. This presentation will review the methodology, analytical tools and results of recent flight safety data analysis projects carried out for Federal Aviation Administration, Southwest Airlines and International Air Traffic Association.
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