A Multimedia Comprehensive Informatics System with Decision Support Tools for a Multi-site Collaboration Research of Stroke Rehabilitation

被引:2
|
作者
Wang, Ximing [1 ]
Documet, Jorge [1 ]
Garrison, Kathleen A. [1 ,3 ]
Winstein, Carolee J. [2 ]
Liu, Brent [1 ]
机构
[1] Univ So Calif, Dept Biomed Engn, Image Proc & Informat Lab, Viterbi Sch Engn, Los Angeles, CA 90089 USA
[2] Univ So Calif, Div Biokinesi & Phys Therapy, Los Angeles, CA 90089 USA
[3] Univ So Calif, Dana & David Dornsife Coll Letters, Brain & Creat Inst, Los Angeles, CA 90089 USA
关键词
stroke; web-based system; rehabilitation;
D O I
10.1117/12.910971
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Stroke is a major cause of adult disability. The Interdisciplinary Comprehensive Arm Rehabilitation Evaluation (I-CARE) clinical trial aims to evaluate a therapy for arm rehabilitation after stroke. A primary outcome measure is correlative analysis between stroke lesion characteristics and standard measures of rehabilitation progress, from data collected at seven research facilities across the country. Sharing and communication of brain imaging and behavioral data is thus a challenge for collaboration. A solution is proposed as a web-based system with tools supporting imaging and informatics related data. In this system, users may upload anonymized brain images through a secure internet connection and the system will sort the imaging data for storage in a centralized database. Users may utilize an annotation tool to mark up images. In addition to imaging informatics, electronic data forms, for example, clinical data forms, are also integrated. Clinical information is processed and stored in the database to enable future data mining related development. Tele-consultation is facilitated through the development of a thin-client image viewing application. For convenience, the system supports access through desktop PC, laptops, and iPAD. Thus, clinicians may enter data directly into the system via iPAD while working with participants in the study. Overall, this comprehensive imaging informatics system enables users to collect, organize and analyze stroke cases efficiently.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Research on multi-agent based organization decision support system
    Wang, Guozheng
    Ju, Chunhua
    DCABES 2006 PROCEEDINGS, VOLS 1 AND 2, 2006, : 575 - 577
  • [32] Requirements specifications to electronic data capture system for multi-site clinical trials in acute stroke - Lessons learned
    Sherman, Alexander V.
    Wallace, Karen
    Yu, Hong
    Shighal, Aneesh B.
    Lev, Michael H.
    Furie, Karen L.
    Cudkowicz, Merit E.
    ANNALS OF NEUROLOGY, 2008, 64 : S18 - S19
  • [33] A decision support system to provide an ongoing prediction of robot-assisted rehabilitation outcome in stroke survivors
    Camardella, C.
    Germanotta, M.
    Aprile, I.
    Cappiello, G.
    Curto, Z.
    Scoglio, A.
    Mazzoleni, S.
    Frisoli, A.
    2023 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, ICORR, 2023,
  • [34] Evaluation of a web based informatics system with data mining tools for predicting outcomes with quantitative imaging features in stroke rehabilitation clinical trials
    Wang, Ximing
    Kim, Bokkyu
    Park, Ji Hoon
    Wang, Erik
    Forsyth, Sydney
    Lim, Cody
    Ravi, Ragini
    Karibyan, Sarkis
    Sanchez, Alexander
    Liu, Brent
    MEDICAL IMAGING 2017: IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS, 2017, 10138
  • [35] Integration of Imaging Informatics-based Multiple Sclerosis eFolder System for multi-site clinical trials utilizing IHE Workflow Profiles
    Ma, Kevin
    Reddy, Nakul
    Deshpande, Ruchi
    Amezcua, Lilyana
    Liu, Brent
    MEDICAL IMAGING 2013: ADVANCED PACS-BASED IMAGING INFORMATICS AND THERAPEUTIC APPLICATIONS, 2013, 8674
  • [36] The Research on Multi-agent Framework for Decision Support System and Its Application
    Li, Yan
    PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON ELECTRONIC COMMERCE AND SECURITY, 2008, : 986 - 989
  • [37] Research of an intelligent decision support system model based on multi-agent
    Zhi, L
    ISTM/2005: 6th International Symposium on Test and Measurement, Vols 1-9, Conference Proceedings, 2005, : 8793 - 8796
  • [38] Multi-strategy budget allocation decision support system for seismic rehabilitation of road infrastructure
    Yadollahi, Mohammadreza
    Zin, Rosli Mohamad
    STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2014, 10 (02) : 239 - 260
  • [39] Stroke Self-Management Rehabilitation Trial (SMART-DVD): Preliminary findings from an international, multi-site pilot trial
    Bhattacharjee, R.
    Jones, K.
    Krishnamurthi, R.
    Theadom, A.
    Barker-Collo, S.
    Ratnasabapathy, Y.
    Ranta, A.
    Taylor, D.
    Kahan, M.
    Kendall, E.
    Maujean, A.
    Ehrlich, C.
    Wolf, S.
    Blanton, S.
    Sanya, E.
    Pandian, J.
    Arora, D.
    MacKay-Lyons, M.
    Thrift, A.
    Cadilhac, D.
    New, P.
    Stolwyk, R.
    Mehndiratta, M. M.
    Langhorne, P.
    Anand, A.
    Khurana, D.
    Lindley, R.
    Bornstein, N.
    Brainin, M.
    Norrving, B.
    Saposnik, G.
    Venketasubramanian, N.
    Abd-allah, F.
    Feigin, V.
    INTERNATIONAL JOURNAL OF STROKE, 2015, 10 : 55 - 55
  • [40] Specifying cross-system collaboration strategies for implementation: a multi-site qualitative study with child welfare and behavioral health organizations
    Alicia C. Bunger
    Emmeline Chuang
    Amanda M. Girth
    Kathryn E. Lancaster
    Rebecca Smith
    Rebecca J. Phillips
    Jared Martin
    Fawn Gadel
    Tina Willauer
    Marla J. Himmeger
    Jennifer Millisor
    Jen McClellan
    Byron J. Powell
    Lisa Saldana
    Gregory A. Aarons
    Implementation Science, 19