Development of Vital Signs Monitoring Decision Support System for Coronary Care Unit Inpatients

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LANGARIZADEH M.; Sadr Ameli s.m.a.; SOLEYMANI M.

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Paper Information

Journal: JOURNAL OF HEALTH ADMINISTRATION Year:2017 | Volume:20 | Issue:67 Page(s): 75-88

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Information Journal Paper

Title

Development of Vital Signs Monitoring Decision Support System for Coronary Care Unit Inpatients

Author(s)

LANGARIZADEH M. | Sadr Ameli s.m.a. | SOLEYMANI M. | Issue Writer Certificate

Keywords

decision support systemQ2

CCUQ2

medical interventionsQ2

vital signsQ2

Abstract

Introduction: Big volume of patient’ s medical data is one of the medical error reasons in coronary care unit (CCU). The purpose of this study was the designing a system that can monitored the patient’ s vital sign continuously and when there are abnormal, producing alarms and proposed appropriate medical interventions according to the patient’ s conditions in CCU. Methods: This was application-development study that done in cross-sectional method in Shahid Rajai hospital at Tehran in 2015. 15 physicians and 15 nurses of CCU were considered as nonrandom purposively sampling. MEAN. js technology and MIMIC II Physionet’ s database were used for system designing. Results: Normal and abnormal ranges of vital signs were assessed according to the environmental and population conditions in this study. Variety of therapeutic interventions due to the patients’ vital signs changing was identified with their priorities. The results showed that the clinical decision support system (CDSS) had aCCUracy (94/68 %), sensitivity (82/60 %) and specificity (100 %) in proposing of proper interventions and had (92/92 %) aCCUracy, (80 %) sensitivity and (100 %) specificity in producing of timely alarms. Conclusion: There are several factors that impact on determining of normal and abnormal ranges of vital signs and interventions priorities. The results showed that CDSS can help professionals in appropriate medical interventions selecting in unanticipated conditions at clinical care processes. At clinical point, this system can improve the understanding of vital signs, patient health conditions and decision-making process that can help in reducing of medical errors.

Cites

DESIGNING A HEART DISEASE PREDICTION SYSTEM USING SUPPORT VECTOR MACHINE

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APA: Copy

LANGARIZADEH, M., Sadr Ameli, s.m.a., & SOLEYMANI, M.. (2017). Development of Vital Signs Monitoring Decision Support System for Coronary Care Unit Inpatients. JOURNAL OF HEALTH ADMINISTRATION, 20(67 ), 75-88. SID. https://sid.ir/paper/130056/en

Vancouver: Copy

LANGARIZADEH M., Sadr Ameli s.m.a., SOLEYMANI M.. Development of Vital Signs Monitoring Decision Support System for Coronary Care Unit Inpatients. JOURNAL OF HEALTH ADMINISTRATION[Internet]. 2017;20(67 ):75-88. Available from: https://sid.ir/paper/130056/en

IEEE: Copy

M. LANGARIZADEH, s.m.a. Sadr Ameli, and M. SOLEYMANI, “Development of Vital Signs Monitoring Decision Support System for Coronary Care Unit Inpatients,” JOURNAL OF HEALTH ADMINISTRATION, vol. 20, no. 67 , pp. 75–88, 2017, [Online]. Available: https://sid.ir/paper/130056/en

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