Anesthesia Information Management Systems (AIMS)

2011 ◽  
pp. 465-481
Author(s):  
Loren Riskin ◽  
Christoph Egger-Halbeis ◽  
Daniel Riskin
Keyword(s):  
Operating Room ◽  
Information Management ◽  
Fundamental System ◽  
Critical Role ◽  
Management Systems ◽  
Healthcare Information ◽  
Operative Care ◽  
Information Management Systems ◽  
Over Time

This chapter discusses the critical role of anesthesia information management systems (AIMS) in clinical tracking and operating room information management. It begins by reviewing the history and implementation of such systems and examines their current abilities and utilities. The current known benefits of AIMS, as documented by peer-reviewed literature, are examined. Possible additional benefits, both future and current, and the potential role of AIMS in future healthcare information management are discussed. Though AIMS vary greatly between individual systems and will continue to evolve over time, this chapter aims to highlight fundamental system features. The goal of this chapter is to broaden understanding of AIMS and their clinical utility, as they have an essential part of modern operative care.

scholarly journals A Novel Fractional-Discrete-Cosine-Transform-Based Reversible Watermarking for Healthcare Information Management Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Lu-Ting Ko ◽  
Jwu-E Chen ◽  
Yaw-Shih Shieh ◽  
Massimo Scalia ◽  
Tze-Yun Sung
Keyword(s):  
Information Management ◽  
Discrete Cosine Transform ◽  
Medical Image ◽  
Reversible Watermarking ◽  
Management Systems ◽  
Good Tool ◽  
Healthcare Information ◽  
Cosine Transform ◽  
Host Image ◽  
Information Management Systems

Digital watermarking is a good tool for healthcare information management systems. The well-known quantization-index-modulation- (QIM-) based watermarking has its limitations as the host image will be destroyed; however, the recovery of medical image is essential to avoid misdiagnosis. A transparent yet reversible watermarking algorithm is required for medical image applications. In this paper, we propose a fractional-discrete-cosine-transform- (FDCT-) based watermarking to exactly reconstruct the host image. Experimental results show that the FDCT-based watermarking is preferable to the QIM-based watermarking for the medical image applications.

scholarly journals Nested Quantization Index Modulation for Reversible Watermarking and Its Application to Healthcare Information Management Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Lu-Ting Ko ◽  
Jwu-E. Chen ◽  
Yaw-Shih Shieh ◽  
Hsi-Chin Hsin ◽  
Tze-Yun Sung
Keyword(s):  
Information Management ◽  
Medical Image ◽  
Management Systems ◽  
Concurrent Programs ◽  
Quantization Index Modulation ◽  
Nest Structure ◽  
Healthcare Information ◽  
Host Image ◽  
Information Management Systems ◽  
Index Modulation

Digital watermarking has attracted lots of researches to healthcare information management systems for access control, patients' data protection, and information retrieval. The well-known quantization index modulation-(QIM-) based watermarking has its limitations as the host image will be destroyed; however, the recovery of medical images is essential to avoid misdiagnosis. In this paper, we propose the nested QIM-based watermarking, which is preferable to the QIM-based watermarking for the medical image applications. As the host image can be exactly reconstructed by the nested QIM-based watermarking. The capacity of the embedded watermark can be increased by taking advantage of the proposed nest structure. The algorithm and mathematical model of the nested QIM-based watermarking including forward and inverse model is presented. Due to algorithms and architectures of forward and inverse nested QIM, the concurrent programs and special processors for the nested QIM-based watermarking are easily implemented.

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