Building an Inferential Model between Caregivers and Patients by using RFID
Nosocomial (i.e., hospital-acquired) infections
(NI) is a major cause of morbidity and mortality in hospitals. NI
rate is higher in intensive care units (ICU) than in the general
ward due to patients with severe symptoms, poor immunity,
and accepted many invasive therapies. Contact behaviors
between health caregivers and patients is one of the infect
factors. It is difficult to obtain complete contact records by
traditional method of retrospective analysis of medical records.
This paper establishes a contact history inferential model
(CHIM) intended to extend the use of Proximity Sensing of
rapid frequency identification (RFID) technology to
transferring all proximity events between health caregivers and
patients into clinical events (close-in events, contact events and
invasive events).The results of the study indicated that the
CHIM can infer proximity care activities into close-in events
and contact events.
The infection control team could redesign and build optimal
workflow in the ICU according to the patient-specific contact
history which provided by our automatic tracing system.
[1] WHO, World Health Organization, http://www.who.int/emc
[2] Eggimann P, Pittet D. Infection control in the ICU. Chest 2001;
120:2059-93.
[3] Vincent LJ, Bihari DJ, Suter PM, et. al. The prevalence of nosocomial
infection in intensive care units in Europe: result of the EPIC study.
JAMA 1995; 274:639-644.
[4] Hajo Grundmann, Sina Barwolff, Adriana Tami, et.al.How many
infections are caused by patient to patient transmission in intensive care
units. Crit Care Med 2005 Vol. 33, No. 5:946-951.
[5] Garner JS, Favero MS. CDC guidelines for the prevention and control
of nosocomial infections. Guideline for handwashing and hospital
environmental control. AJIC. 1986;14(3):110-115.
[6] Jongchul Song, Carl T. Haas, Carlos H. Caldas. A proximity-based
method for locating RFID tagged objects. Advanced Engineering
Informatics 2007; 367-376
[7] Jill A. Fisher, Torin Monahan, Tracking the social dimensions of RFID
systems in hospitals. International journal of medical informatics 2008;
176-183
[8] Yung-Ting Chang, Chung-You Tsai, Pei-San Lee , Yu-Chuan Li. Using
Active RFID for Proximity Sensing-Capturing Nosocomial Infections
in MICU. Asia Pacific Association for Medical Informatics
2009,Hiroshima, Japan,2009
[1] WHO, World Health Organization, http://www.who.int/emc
[2] Eggimann P, Pittet D. Infection control in the ICU. Chest 2001;
120:2059-93.
[3] Vincent LJ, Bihari DJ, Suter PM, et. al. The prevalence of nosocomial
infection in intensive care units in Europe: result of the EPIC study.
JAMA 1995; 274:639-644.
[4] Hajo Grundmann, Sina Barwolff, Adriana Tami, et.al.How many
infections are caused by patient to patient transmission in intensive care
units. Crit Care Med 2005 Vol. 33, No. 5:946-951.
[5] Garner JS, Favero MS. CDC guidelines for the prevention and control
of nosocomial infections. Guideline for handwashing and hospital
environmental control. AJIC. 1986;14(3):110-115.
[6] Jongchul Song, Carl T. Haas, Carlos H. Caldas. A proximity-based
method for locating RFID tagged objects. Advanced Engineering
Informatics 2007; 367-376
[7] Jill A. Fisher, Torin Monahan, Tracking the social dimensions of RFID
systems in hospitals. International journal of medical informatics 2008;
176-183
[8] Yung-Ting Chang, Chung-You Tsai, Pei-San Lee , Yu-Chuan Li. Using
Active RFID for Proximity Sensing-Capturing Nosocomial Infections
in MICU. Asia Pacific Association for Medical Informatics
2009,Hiroshima, Japan,2009
@article{"International Journal of Medical, Medicine and Health Sciences:59457", author = "Yung-Ting Chang and Chung-You Tsai and Yu-Chuan Li", title = "Building an Inferential Model between Caregivers and Patients by using RFID", abstract = "Nosocomial (i.e., hospital-acquired) infections
(NI) is a major cause of morbidity and mortality in hospitals. NI
rate is higher in intensive care units (ICU) than in the general
ward due to patients with severe symptoms, poor immunity,
and accepted many invasive therapies. Contact behaviors
between health caregivers and patients is one of the infect
factors. It is difficult to obtain complete contact records by
traditional method of retrospective analysis of medical records.
This paper establishes a contact history inferential model
(CHIM) intended to extend the use of Proximity Sensing of
rapid frequency identification (RFID) technology to
transferring all proximity events between health caregivers and
patients into clinical events (close-in events, contact events and
invasive events).The results of the study indicated that the
CHIM can infer proximity care activities into close-in events
and contact events.
The infection control team could redesign and build optimal
workflow in the ICU according to the patient-specific contact
history which provided by our automatic tracing system.", keywords = "Active Radio Frequency Identification,Intensive Care Unit, Nosocomial Infections", volume = "4", number = "8", pages = "344-4", }