TY - GEN
T1 - Biomedical informatics data modeling of the 911 Call Center at Newark, New Jersey, USA
AU - Rana, Arif M.
AU - Haque, Syed S.
AU - Ahamed, Syed V.
PY - 2011
Y1 - 2011
N2 - This paper discusses a Biomedical Informatics statistical data model for a 911 Call Center (911CC) patient care response times at Newark, New Jersey, USA. Study of the techniques used in collecting the patient's arrival/service times, analyzing the arrival/service time using statistical techniques, and developing Biomedical Informatics statistical distributions which has 95% goodness of fit level (confidence level α = 95%) is proposed. The derived statistical distributions are further used in modeling the Biomedical Informatics fast data network to further research the delay in the response time for the critical care patient serviced by the 911CC. These statistical models are also used in modeling how effectively a Biomedical Informatics network model can electronically distribute the patient condition and the associated medical data to relevant participants of the 911CC process, namely the Emergency Medical Technicians (EMT), doctors, nurses, and the appropriate hospital authorities.
AB - This paper discusses a Biomedical Informatics statistical data model for a 911 Call Center (911CC) patient care response times at Newark, New Jersey, USA. Study of the techniques used in collecting the patient's arrival/service times, analyzing the arrival/service time using statistical techniques, and developing Biomedical Informatics statistical distributions which has 95% goodness of fit level (confidence level α = 95%) is proposed. The derived statistical distributions are further used in modeling the Biomedical Informatics fast data network to further research the delay in the response time for the critical care patient serviced by the 911CC. These statistical models are also used in modeling how effectively a Biomedical Informatics network model can electronically distribute the patient condition and the associated medical data to relevant participants of the 911CC process, namely the Emergency Medical Technicians (EMT), doctors, nurses, and the appropriate hospital authorities.
KW - 911 Call Center
KW - Biomedical Informatics
KW - Critical Care Patient
KW - Data/Network Model
KW - K-S Test
KW - Q-Q Plots
KW - Response Times
KW - Statistical Distributions
UR - http://www.scopus.com/inward/record.url?scp=80054818927&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80054818927&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24037-9_65
DO - 10.1007/978-3-642-24037-9_65
M3 - Conference contribution
AN - SCOPUS:80054818927
SN - 9783642240362
T3 - Communications in Computer and Information Science
SP - 682
EP - 691
BT - Advances in Parallel, Distributed Computing - First International Conference on Parallel, Distributed Computing Technologies and Applications, PDCTA 2011, Proceedings
T2 - 1st International Conference on Parallel, Distributed Computing Technologies and Applications, PDCTA 2011
Y2 - 23 September 2011 through 25 September 2011
ER -