Literature DB >> 22048782

Dual function seal: visualized digital signature for electronic medical record systems.

Yao-Chang Yu1, Ting-Wei Hou, Tzu-Chiang Chiang.   

Abstract

Digital signature is an important cryptography technology to be used to provide integrity and non-repudiation in electronic medical record systems (EMRS) and it is required by law. However, digital signatures normally appear in forms unrecognizable to medical staff, this may reduce the trust from medical staff that is used to the handwritten signatures or seals. Therefore, in this paper we propose a dual function seal to extend user trust from a traditional seal to a digital signature. The proposed dual function seal is a prototype that combines the traditional seal and digital seal. With this prototype, medical personnel are not just can put a seal on paper but also generate a visualized digital signature for electronic medical records. Medical Personnel can then look at the visualized digital signature and directly know which medical personnel generated it, just like with a traditional seal. Discrete wavelet transform (DWT) is used as an image processing method to generate a visualized digital signature, and the peak signal to noise ratio (PSNR) is calculated to verify that distortions of all converted images are beyond human recognition, and the results of our converted images are from 70 dB to 80 dB. The signature recoverability is also tested in this proposed paper to ensure that the visualized digital signature is verifiable. A simulated EMRS is implemented to show how the visualized digital signature can be integrity into EMRS.

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Year:  2011        PMID: 22048782     DOI: 10.1007/s10916-011-9795-x

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  2 in total

1.  Authenticity and integrity of digital mammography images.

Authors:  X Q Zhou; H K Huang; S L Lou
Journal:  IEEE Trans Med Imaging       Date:  2001-08       Impact factor: 10.048

2.  Hash-based identification of sparse image tampering.

Authors:  Marco Tagliasacchi; Giuseppe Valenzise; Stefano Tubaro
Journal:  IEEE Trans Image Process       Date:  2009-07-24       Impact factor: 10.856

  2 in total

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