A multimedia comprehensive informatics system with decision support tools for a multi-site collaboration research of stroke rehabilitation

Author(s):  
Ximing Wang ◽  
Jorge Documet ◽  
Kathleen A. Garrison ◽  
Carolee J. Winstein ◽  
Brent Liu
Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Carolee J Winstein ◽  
Brent Liu ◽  
Alexander Dromerick ◽  
Andrew Butler ◽  
Steven Wolf ◽  
...  

BACKGROUND: Stroke is one of the major causes of death and disability in America. The Interdisciplinary Comprehensive Arm Rehabilitation Evaluation (ICARE) project aims to compare a theoetically-defensible, evidence-based arm therapy, Accelerated Skill Acquisition Program, with traditional therapies. Imaging of the brain provides evidence of the location and severity of the stroke lesion. Researchers can analyze selected images acquired prior to enrollment and perform knowledge discovery of correlation between the size and location of the lesion and specific rehabilitation outcomes. However, large-scale trials such as ICARE encounter challenges for integrating imaging data from multiple healthcare institutions across the country. The ICARE project has 7 clinical sites distributed across the country, with more than 160 patients randomized thus far, tens of gigabytes of imaging data are involved. Therefore, we propose to develop a web-based system with tools that can support imaging and informatics related data within such a randomized controlled trial and allow for tele-consultation and collaboration. EVALUATION: The system includes a database and file storage system, a Health Insurance Portability and Accountability Act (HIPAA)-compliant anonymizer, a web-based Graphical User Interface (GUI) and decision-support tools such as lesion quantifying tools and image analysis. The GUI allows users to upload, search and review the images, patient information and annotations. The HIPAA-compliant anonymizer will anonymize any private information according to HIPAA. The lesion quantifying tool will help clinicians to measure, quantify, and characterize the size of lesion and evaluate the rehabilitation progress. The system will be used within 7 clinical sites and evaluated by researchers in the ICARE trial. DISCUSSION: The system allows for tele-consultation and is facilitated through the development of a thin-client image viewing application. Clinicians and researchers across the country can manage the imaging data, make and store annotations, measure the lesion size, and collaborate to identify the imaging biomarkers that would ultimately enhance the existing ICARE clinical trial database. Moreover, the anonymizer tool can be used not only for imaging data in this rehabilitation trial, but also for other data from multi-site clinical trials since most studies are required to be anonymized. CONCLUSION: A comprehensive imaging informatics system for a large-scale controlled stroke rehabilitation trial is developed. Physicians and clinical researchers are able to collect, organize and analyze stroke cases efficiently and effectively across multiple sites.


2020 ◽  
pp. 323
Author(s):  
Nour Elislam Djedaa ◽  
Abderrezak Moulay Lakhdar

2007 ◽  
Vol 7 (5-6) ◽  
pp. 53-60
Author(s):  
D. Inman ◽  
D. Simidchiev ◽  
P. Jeffrey

This paper examines the use of influence diagrams (IDs) in water demand management (WDM) strategy planning with the specific objective of exploring how IDs can be used in developing computer-based decision support tools (DSTs) to complement and support existing WDM decision processes. We report the results of an expert consultation carried out in collaboration with water industry specialists in Sofia, Bulgaria. The elicited information is presented as influence diagrams and the discussion looks at their usefulness in WDM strategy design and the specification of suitable modelling techniques. The paper concludes that IDs themselves are useful in developing model structures for use in evidence-based reasoning models such as Bayesian Networks, and this is in keeping with the objectives set out in the introduction of integrating DSTs into existing decision processes. The paper will be of interest to modellers, decision-makers and scientists involved in designing tools to support resource conservation strategy implementation.


2021 ◽  
Vol 167 ◽  
pp. 112313
Author(s):  
Zhaoyang Yang ◽  
Zhi Chen ◽  
Kenneth Lee ◽  
Edward Owens ◽  
Michel C. Boufadel ◽  
...  

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