Technologies, Inc. has brought to healthcare and service communities,
innovative and effective record-matching software whose feasibility
depends on the ease with which it could be customized. There are many
peculiarities and case-specific details that must be accommodated
when deploying a record matching/linkage system.
cost of such customization can easily overwhelm the cost of the
technology and inhibit its broad application in the areas where
it is most needed. ChoiceMaker has designed and implemented
several innovations that simplify and automate the customization
tasks, while further enhancing the software's performance and
precision. By using the latest in machine learning and applying
training data to the record-matching problem, the company has
developed a solution that helps to ensure reliable
databases and is compatible with multiple languages.