Literature DB >> 20471637

Smart medical environment at the point of care: auto-tracking clinical interventions at the bed side using RFID technology.

Kumiko Ohashi1, Sakiko Ota, Lucila Ohno-Machado, Hiroshi Tanaka.   

Abstract

We developed a wireless auto-tracking system for tracking clinical intervention such as drug administrations and blood tests at the patient bedside. The system can not only authenticate patients and nurses, but also confirm medications and provide relevant information, depending on the clinical situation and personnel location. We conducted a feasibility experiment and examined whether or not the system could work as a patient safety measure in terms of reducing misidentifications of patients and medical errors including wrong medication type, dose, time, and route. Also, the duration of clinical interventions in the system were measured to compare with the BCMA system. Moreover, we conducted a qualitative evaluation with nurses and received feedback clarifying their perceptions of the system. The results showed that the system correctly recognized medical staff, patient ID, and medication data in real time. With regards to workflow time, a significant reduction of time of clinical interventions was observed, when compared to a bar-coding system. In addition, on the nurses' evaluation, we received mostly positive comments although they also clarified some issues to consider with regards to operability and privacy issues. We concluded that the system had great potential for reducing medical errors and nurse workload with high efficiency. Copyright 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20471637     DOI: 10.1016/j.compbiomed.2010.03.007

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  9 in total

1.  The Impact of a Location-Sensing Electronic Health Record on Clinician Efficiency and Accuracy: A Pilot Simulation Study.

Authors:  Kevin King; John Quarles; Vaishnavi Ravi; Tanvir Irfan Chowdhury; Donia Friday; Craig Sisson; Yusheng Feng
Journal:  Appl Clin Inform       Date:  2018-11-21       Impact factor: 2.342

2.  Applied patent RFID systems for building reacting HEPA air ventilation system in hospital operation rooms.

Authors:  Jesun Lin; Jar-Yuan Pai; Chih-Cheng Chen
Journal:  J Med Syst       Date:  2011-11-12       Impact factor: 4.460

Review 3.  Impact of Hospital Characteristics and Governance Structure on the Adoption of Tracking Technologies for Clinical and Supply Chain Use: Longitudinal Study of US Hospitals.

Authors:  Xiao Zhu; Youyou Tao; Ruilin Zhu; Dezhi Wu; Wai-Kit Ming
Journal:  J Med Internet Res       Date:  2022-05-26       Impact factor: 7.076

4.  Activity Recognition for Medical Teamwork Based on Passive RFID.

Authors:  Xinyu Li; Dongyang Yao; Xuechao Pan; Jonathan Johannaman; JaeWon Yang; Rachel Webman; Aleksandra Sarcevic; Ivan Marsic; Randall S Burd
Journal:  IEEE Int Conf RFID       Date:  2016-06-09

Review 5.  Radio Frequency Identification (RFID) technology and patient safety.

Authors:  Sima Ajami; Ahmad Rajabzadeh
Journal:  J Res Med Sci       Date:  2013-09       Impact factor: 1.852

6.  Object motion detection based on passive UHF RFID tags using a hidden Markov model-based classifier.

Authors:  Young Ho Lee; Ivan Marsic
Journal:  Sens Biosensing Res       Date:  2018-10-28

Review 7.  Real-time locating systems to improve healthcare delivery: A systematic review.

Authors:  Kevin M Overmann; Danny T Y Wu; Catherine T Xu; Shwetha S Bindhu; Lindsey Barrick
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

8.  Design and Development of a Clinical Risk Management Tool Using Radio Frequency Identification (RFID).

Authors:  Faramarz Pourasghar; Jafar Sadegh Tabrizi; Khadijeh Yarifard
Journal:  Acta Inform Med       Date:  2016-03-26

9.  Real-Time Person Identification in a Hospital Setting: A Systematic Review.

Authors:  Heleen M Essink; Armelle Knops; Amber M A Liqui Lung; C Nienke van der Meulen; Nino L Wouters; Aart J van der Molen; Wouter J H Veldkamp; M Frank Termaat
Journal:  Sensors (Basel)       Date:  2020-07-15       Impact factor: 3.576

  9 in total

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