Abstract 2379: A Comprehensive Imaging Informatics System with Decision-Support Tools for the Interdisciplinary Comprehensive Arm Rehabilitation Trial

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Carolee J Winstein ◽  
Brent Liu ◽  
Alexander Dromerick ◽  
Andrew Butler ◽  
Steven Wolf ◽  
...  
Keyword(s):  
Decision Support ◽  
Large Scale ◽  
Imaging Informatics ◽  
Imaging Biomarkers ◽  
Decision Support Tools ◽  
Imaging Data ◽  
Web Based ◽  
Informatics System ◽  
Arm Rehabilitation ◽  
Support Tools

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.

A Knowledge-Based Imaging Informatics Approach for Managing Proton Beam Therapy of Cancer Patients

2007 ◽  
Vol 6 (4_suppl) ◽  
pp. 77-84 ◽  
Author(s):  
Brent J. Liu
Keyword(s):  
Decision Making ◽  
Radiation Therapy ◽  
Decision Support ◽  
Treatment Planning ◽  
Imaging Informatics ◽  
Patient Treatment ◽  
Decision Support Tools ◽  
Knowledge Based ◽  
Support Tools ◽  
Dicom Rt

The need for a unified patient-oriented information system to handle complex proton therapy (PT) imaging and informatics data during the course of patient treatment is becoming steadily apparent due to the ever increasing demands for better diagnostic treatment planning and more accurate information. Currently, this information is scattered throughout each of the different treatment and information systems in the oncology department. Furthermore, the lack of organization with standardized methods makes it difficult and time-consuming to navigate through the maze of data, resulting in challenges during patient treatment planning. We present a methodology to develop this electronic patient record (ePR) system based on DICOM standards and perform knowledge-based medical imaging informatics research on specific clinical scenarios where patients are treated with PT. Treatment planning is similar in workflow to traditional radiation therapy (RT) methods such as intensity-modulated radiation therapy (IMRT), which utilizes a priori knowledge to drive the treatment plan in an inverse manner. In March 2006, two new RT objects were drafted in a DICOM-RT Supplement 102 specifically for ion therapy, which includes PT. The standardization of DICOM-RT-ION objects and the development of a knowledge base as well as decision-support tools that can be add-on features to the ePR DICOM-RT system were researched. This methodology can be used to extend to PT and the development of future clinical decision-making scenarios during the course of the patient's treatment that utilize “inverse treatment planning.” We present the initial steps of this imaging and informatics methodology for PT and lay the foundation for development of future decision-support tools tailored to cancer patients treated with PT. By integrating decision-support knowledge and tools designed to assist in the decision-making process, a new and improved “ knowledge-enhanced treatment planning” approach can be realized.

Web-Based Expert Geographical Information System for Advanced Transportation Management Systems

2000 ◽  
Vol 1719 (1) ◽  
pp. 200-208 ◽  
Author(s):  
Kaan Özbay ◽  
Shirsendu Mukherjee
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Support System ◽  
Support Systems ◽  
Management Systems ◽  
Incident Management ◽  
Decision Support Tools ◽  
Web Based ◽  
Transportation Management ◽  
Support Tools

The Internet is fast becoming the standard environment for client-server applications that involve multiple users. The proliferation of Internet-based application development tools opens new doors to transportation researchers who work in real-time decision support system development. In the 1990s, one of the most important problems in advanced transportation management systems research was the development of better incident management systems. Although the incident management process has been well studied, the development of real-time decision support systems that can be used by all the involved agencies remains a challenging area of transportation engineering research. Existing incident management systems are developed on various traditional computing platforms, including UNIX and Windows. However, with the advent of the World Wide Web and Internet-based programming tools such as Java, it is possible to develop platform independent decision support tools for the incident management agencies. Web-based support tools offer an invaluable opportunity to develop next-generation online decision support tools for real-time traffic management. The applicability of Web-based tools to the development of online decision support systems for incident management is explored and demonstrated, and a prototype incident management decision support system (DSS) that has most of the capabilities of similar UNIX-based DSS support systems is developed and tested. Briefly described are the implementation and development of a prototype wide-area incident management system using Web-based tools.

Sign in / Sign up

Export Citation Format

Share Document