TY - GEN
T1 - Health condition alarm system
AU - Chang, Maiga
AU - Aggrey, Ebenezer
AU - Sayed, Mehadi
AU - Kinshuk,
PY - 2013
Y1 - 2013
N2 - A Health Condition Alarm System has been developed to provide practitioners an update on their patients' conditions in real-time. This paper focuses on how researchers and doctors can use the system to create vital sign ranges and alarm levels as well as to see the alarm alerts. The system is web-based and open-access, and the research team would like to collaborate with practitioners, hospitals, laboratories, and medical professionals to expand the system's application domains. The research team has leveraged two quality control methods, X-Chart and Westgard Multi-Rule, to decide the alarm level of a patient's health condition and the alarm timing. Four alarm levels (i.e., normal, subnormal, cautious, and alert) can then be decided by the mean values and standard deviations of the patient examination data.
AB - A Health Condition Alarm System has been developed to provide practitioners an update on their patients' conditions in real-time. This paper focuses on how researchers and doctors can use the system to create vital sign ranges and alarm levels as well as to see the alarm alerts. The system is web-based and open-access, and the research team would like to collaborate with practitioners, hospitals, laboratories, and medical professionals to expand the system's application domains. The research team has leveraged two quality control methods, X-Chart and Westgard Multi-Rule, to decide the alarm level of a patient's health condition and the alarm timing. Four alarm levels (i.e., normal, subnormal, cautious, and alert) can then be decided by the mean values and standard deviations of the patient examination data.
KW - Data mining
KW - Healthcare
KW - Levey-Jennings control chart
KW - Westgard multi-rule quality management
KW - X-Chart
UR - http://www.scopus.com/inward/record.url?scp=84892943822&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-02753-1_31
DO - 10.1007/978-3-319-02753-1_31
M3 - Published Conference contribution
AN - SCOPUS:84892943822
SN - 9783319027524
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 307
EP - 315
BT - Brain and Health Informatics - International Conference, BHI 2013, Proceedings
T2 - International Conference on Brain and Health Informatics, BHI 2013
Y2 - 29 October 2013 through 31 October 2013
ER -