Brent Julius Liu PhD, Presenter: Nothing to Disclose

Jorge Documet, Abstract Co-Author: Support, SurgMatix, Inc

Sarah Mcnitt-Gray, Abstract Co-Author: Nothing to Disclose

Philip Requejo PhD, Abstract Co-Author: Nothing to Disclose

Jill McNitt-Gray PhD, Abstract Co-Author: Nothing to Disclose

The design and development of a robust multi-media ePR system platform for disability patients undergoing movement analysis for rehabilitation represents a new frontier of research in imaging informatics.

Clinical decisions for improving motor function in patients with disability are made through clinical gait and movement analysis. Currently, this analysis facilitates identifying abnormalities in a patient's motor function for a large amount of neuromusculoskeletal pathologies. However definitively identifying the underlying cause or long-term consequences of a specific abnormality in the patient’s movement pattern is difficult since this requires information from multiple sources and formats across different times and currently relies on the experience and intuition of the expert clinician. In addition, this data must be persistent for longitudinal outcomes studies. Therefore a multi-media ePR system integrating imaging informatics data could have a significant impact on decision support within this clinical workflow.

During a movement evaluation process, kinematics, kinetics, electromyography, and video data are captured simultaneously but stored separately along with demographic and subjective questionnaires. We have designed a system that integrates related imaging and informatics data acquired during this process and manages the data in a patient-based standard similar to current healthcare paradigms. Multi-media data such as patient waveforms, biometric signs, and video are captured and stored via a master clock in synchronized fashion. Presentation and documentation is provided through a unique timeline-oriented synchronized Graphical User Interface (GUI). We will focus the design and development on the clinical application of gait analysis and wheelchair propulsion evaluation of patients with disabilities.

The ePR system platform is robust, scalable, and adaptable to a variety of clinical applications through customization of the basic system components. The richness of data together with a workflow-tailored presentation facilitates the full data representation of the disability patient through the entire movement analysis.

Liu, B, Documet, J, Mcnitt-Gray, S, Requejo, P, McNitt-Gray, J, Extending Imaging Informatics beyond Radiology: A Multi-Media ePR System for Disability Patients to Improve Decision Support in Rehabilitation through Clinical Gait and Movement Analysis.  Radiological Society of North America 2010 Scientific Assembly and Annual Meeting, November 28 - December 3, 2010 ,Chicago IL. http://archive.rsna.org/2010/9013577.html