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Content-based numerical report searching for image enabled case retrieval

One way to improve accuracy of diagnosis and provide better medical treatment to patients is to recall or find records of previous patients with similar disease features from healthcare information systems which already have confirmed diagnostic results. In most situations, features of disease may be described by other kinds of information or data types such as numerical reports or a simple or complicated SR (Structure Reports) generated from Ultrasound Information System (USIS) or from computer assisted detection (CAD) components, or laboratory information system (LIS). In this presentation, we described a new approach to search and retrieve numerical reports based on the contents of parameters from large database of numerical reports. We have tested this approach by using numerical data from an ultrasound information system (USIS) and got desired results both in accuracy and performance. The system can be wrapped as a web service and is being integrated into a USIS and EMR for clinical evaluation without interrupting the normal operations of USIS/RIS/PACS. We give the design architecture and implementation strategy of this novel framework to provide feature based case retrieval capability in an integrated healthcare information system.