Literature DB >> 17390985

Performance analysis of a medical record exchanges model.

Ean-Wen Huang1, Der-Ming Liou.   

Abstract

Electronic medical record exchange among hospitals can provide more information for physician diagnosis and reduce costs from duplicate examinations. In this paper, we proposed and implemented a medical record exchange model. According to our study, exchange interface servers (EISs) are designed for hospitals to manage the information communication through the intra and interhospital networks linked with a medical records database. An index service center can be given responsibility for managing the EIS and publishing the addresses and public keys. The prototype system has been implemented to generate, parse, and transfer the health level seven query messages. Moreover, the system can encrypt and decrypt a message using the public-key encryption algorithm. The queuing theory is applied to evaluate the performance of our proposed model. We estimated the service time for each queue of the CPU, database, and network, and measured the response time and possible bottlenecks of the model. The capacity of the model is estimated to process the medical records of about 4000 patients/h in the 1-MB network backbone environments, which comprises about the 4% of the total outpatients in Taiwan.

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Year:  2007        PMID: 17390985     DOI: 10.1109/titb.2006.875681

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  2 in total

1.  Performance evaluation of a web-based system to exchange Electronic Health Records using Queueing model (M/M/1).

Authors:  Isabel de la Torre; Francisco Javier Díaz; Míriam Antón; Mario Martínez; José Fernando Díez; Daniel Boto; Miguel López; Roberto Hornero; María Isabel López
Journal:  J Med Syst       Date:  2010-07-15       Impact factor: 4.460

2.  A non-repudiated and traceable authorization system based on electronic health insurance cards.

Authors:  Chin-Ling Chen; Ming-Shaw Lu; Zong-Min Guo
Journal:  J Med Syst       Date:  2011-04-16       Impact factor: 4.460

  2 in total

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