Literature DB >> 21222218

SEE: improving nurse-patient communications and preventing software piracy in nurse call applications.

Mehmet S Unluturk1.   

Abstract

Nurse call system is an electrically functioning system by which patients can call upon from a bedside station or from a duty station. An intermittent tone shall be heard and a corridor lamp located outside the room starts blinking with a slow or a faster rate depending on the call origination. It is essential to alert nurses on time so that they can offer care and comfort without any delay. There are currently many devices available for a nurse call system to improve communication between nurses and patients such as pagers, RFID (radio frequency identification) badges, wireless phones and so on. To integrate all these devices into an existing nurse call system and make they communicate with each other, we propose software client applications called bridges in this paper. We also propose a window server application called SEE (Supervised Event Executive) that delivers messages among these devices. A single hardware dongle is utilized for authentication and copy protection for SEE. Protecting SEE with securities provided by dongle only is a weak defense against hackers. In this paper, we develop some defense patterns for hackers such as calculating checksums in runtime, making calls to dongle from multiple places in code and handling errors properly by logging them into database.

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Year:  2011        PMID: 21222218     DOI: 10.1007/s10916-010-9650-5

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


  3 in total

Review 1.  RFID-enabled healthcare applications, issues and benefits: an archival analysis (1997-2011).

Authors:  Samuel Fosso Wamba
Journal:  J Med Syst       Date:  2011-11-23       Impact factor: 4.460

2.  Integration of RFID and web service for assisted living.

Authors:  Mehmet S Unluturk; Kaan Kurtel
Journal:  J Med Syst       Date:  2011-05-03       Impact factor: 4.460

3.  Advanced nurse-patient communication system.

Authors:  Mehmet S Unluturk
Journal:  J Med Syst       Date:  2011-05-04       Impact factor: 4.460

  3 in total

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