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24 March 2011 A multimedia electronic patient record (ePR) system to improve decision support in pre- and rehabilitation through clinical and movement analysis
Brent Liu, Jorge Documet, Sarah McNitt-Gray, Phil Requejo, Jill McNitt-Gray
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Proceedings Volume 7967, Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications; 79670J (2011) https://doi.org/10.1117/12.878270
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States
Abstract
Clinical decisions for improving motor function in patients both with disability as well as improving an athlete's performance are made through clinical and movement analysis. Currently, this analysis facilitates identifying abnormalities in a patient's motor function for a large amount of neuro-musculoskeletal 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 multimedia ePR system integrating imaging informatics data could have a significant impact on decision support within this clinical workflow. We present the design and architecture of such an ePR system as well as the data types that need integration in order to develop relevant decision support tools. Specifically, we will present two data model examples: 1) A performance improvement project involving volleyball athletes and 2) Wheelchair propulsion evaluation of patients with disabilities. The end result is a new frontier area of imaging informatics research within rehabilitation engineering and biomechanics.
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Brent Liu, Jorge Documet, Sarah McNitt-Gray, Phil Requejo, and Jill McNitt-Gray "A multimedia electronic patient record (ePR) system to improve decision support in pre- and rehabilitation through clinical and movement analysis", Proc. SPIE 7967, Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 79670J (24 March 2011); https://doi.org/10.1117/12.878270
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KEYWORDS
Data acquisition
Motion analysis
Data modeling
Multimedia
Decision support systems
Imaging systems
Analytical research
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