Infection control within hospitals is a huge and a rapidly growing problem.In response, Medicare and private insurers are restricting payment for care of patients with HAIs. While many hospitals have made infection control a top priority, the historic challenge facing nurses, physicians, pharmacists and others charged with managing this problem has been combing through hundreds of records every day to identify trends or track individual patients.All hospitals, even small ones, contain huge amounts of data in paper and electronic records, often contained in separate departments or software applications. Here is where data mining plays a major role. Data mining is now being used to automatically monitor clinical information among these disparate data sets including pharmacy, lab, admission/discharge and medical transcripts.By applying algorithms such as, association rules, Bayesian classification and regression analysis to large data sets to identify patterns and meanings, hospitals can spot trends that would otherwise be hidden and not available with simple reports.
Posts Tagged ‘Data Mining’
Infection control programs are using data mining technology
Friday, May 7th, 2010
Data Mining helps win a Pulitzer
Sunday, April 18th, 20102010 Pulitzer Prize winners for Journalism: Awarded to the Bristol (VA) Herald Courier for the work of Daniel Gilbert in illuminating the murky mismanagement of natural-gas royalties owed to thousands of land owners in southwest Virginia, spurring remedial action by state lawmakers.
Gilbert spend over 13 months to get to the bottom of the issue, and this investigation also involved data mining knowledge to catch the irregularities. His work uncovered millions in delinquent payments to landowners thanks to a Virginia law that allowed natural gas companies to set up a complicated royalty system that often never meted out money to its rightful owners. It resulted in making changes in this law which are currently being reviewed.
About Pulitzer Prize:
The Pulitzer Prize is a U.S. award for achievements in newspaper journalism, literature and musical composition. Prizes are awarded yearly in twenty-one categories. In twenty of these, each winner receives a certificate and a US$10,000 cash award.
SAS leading the way in social media data mining with new tool offering
Sunday, April 18th, 2010Recently, we did read about large corporations using data mining especially partnering with social networking sites to improve there product offering. Yes, social data is now a valuable commodity. Facebook, Twitter and other online forums, provides a rich source of user sentiment, which is of immense value. Today companies are building tools which would help make sense of the data. Once such tool in focus is SAS Social Media Analytics by SAS Institute.
SAS Institute, the leader in advanced business intelligence and data analytics software, thinks it can do better. It is introducing a software service on Monday called SAS Social Media Analytics that analysts say seems to represent a step ahead in social media analysis tools.
[Read more New York Times]
Can academia projects help businesses? UoA professor says yes!
Monday, March 29th, 2010Text mining tools can summarize and look for patterns within large electronic documents. Such tools are still expensive and difficult to use on large scale. But a group of researchers, including one’s at the University of Alberta, are hoping to change that.
A University of Alberta professor is helping to create text analysis tools to deeply examine historical trial accounts from the U.K.’s famous Old Bailey criminal court. While the research project is important to academia, the Edmonton-based researcher said that improving the quality of text mining tools could have benefits for businesses as well.
While academia are developing tools like TAPoR, a textual analysis tool that can summarize a body of text, find collocates, identify important dates, and discover the co-occurrences of two target words, the same could be applied to business records as well. Some of the tools in TAPoR use forms of visualization to help researchers grasp the data even clearer.
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