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Utilization of medical imaging informatics and biometrics technologies in healthcare delivery

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

With the large amount of image data accumulated daily from medical imaging modalities and picture archiving and communication systems (PACS) in hospitals and from healthcare biometrics related databases, we can take advantage of these data resources to investigate innovative clinical service, research and education using the concept of imaging informatics. In this paper we present five independent concepts and technologies in their own right and their intertwined relationship in achieving some goal-oriented healthcare applications.

Methods

The five independent concepts and technologies with goal-oriented healthcare applications include medical imaging informatics infrastructure; Data Grid for image fault tolerant backup and disaster recovery; integration of computer-assisted detection and diagnosis (CAD) in daily clinical practice; biometrics technology for patient location and identification in an enterprise Hospital/Radiology information system (HIS/RIS/PACS) integrated environment; and the concept of in vivo image-guided diagnosis and real-time surgical treatment.

Conclusion

The success of implementing these novel technologies and concepts would have tremendous impact to better present and future healthcare delivery as illustrated by examples in the paper.

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Abbreviations

API:

Application programming interface

BAA:

Bone age assessment

CAD:

Computer-assisted detection and diagnosis

CSI:

California Spine Institute

DICOM:

Digital imaging and communications in medicine

ePR:

Electronic patient record

FRS:

Facial biometric recognition system

FT:

Fault tolerance

G & P:

Greulich and Pyle bone development Atlas

GT4:

Globus Toolkit Version 4, open source software for Grid Computing

GUI:

Graphical user interface

HCC II:

Healthcare consultation center II

HIPAA:

Health insurance portability and accountability act

HIS:

Hospital information system

HL-7:

Health level seven

IHE:

Integrating the healthcare enterprise

InfoRAD:

A group of scientific sessions dedicated to radiology informatics in the RSNA Scientific Assembly and Annual Meeting

IPILab:

Image processing and informatics laboratory, USC

LTVS:

Location tracking and verification system using biometric technologies

MIII:

Medical imaging informatics infrastructure

MISS:

Minimally invasive spinal surgery

PACS:

Picture archiving and communication system

Perl:

Practical extraction and report language

RIS:

Radiology information system

ROI:

Region of interest

RSNA:

Radiological society of North America

SAN:

Storage area network

SC:

DICOM screen capture service

SJHC:

Saint Johns Healthcare Center

SR:

DICOM structured report service

USC:

University of Southern California

WS:

Workstation

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Authors and Affiliations

  1. Departments of Radiology and Biomedical Engineering, Image Processing and Informatics Laboratory (IPI), University of Southern California, 1450 San Pablo Street, Suite 2100, Los Angeles, CA, 90033, USA

    H. K. Huang

  2. Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong, China

    H. K. Huang

  3. Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China

    H. K. Huang

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Correspondence to H. K. Huang.

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Huang, H.K. Utilization of medical imaging informatics and biometrics technologies in healthcare delivery. Int J CARS 3, 27–39 (2008). https://doi.org/10.1007/s11548-008-0199-4

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  • DOI: https://doi.org/10.1007/s11548-008-0199-4

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