TY - GEN
T1 - An automated vital sign monitoring system for congestive heart failure patients
AU - Suh, Myung Kyung
AU - Evangelista, Lorraine S.
AU - Chen, Chien An
AU - Han, Kyungsik
AU - Kang, Jinha
AU - Tu, Michael Kai
AU - Chen, Victor
AU - Nahapetian, Ani
AU - Sarrafzadeh, Majid
PY - 2010
Y1 - 2010
N2 - Congestive heart failure (CHF) is a cardiovascular disorder that affects approximately 4.6 million Americans and is a leading cause of death in the United States. Current research shows that strategies to promote early recognition and treatment of symptoms and enhance self-care management behaviors reduce unnecessary hospitalizations. However, mechanisms to monitor patients' health status and behaviors are limited by constraints imposed by the patient's geography, infirmity, or resources. Remote monitoring supports a more dynamic connection between healthcare providers and patients, improves health promotion and patient care through monitoring of health data, communicates health reminders, and makes provisions for patient feedback. This paper will describe two versions of Weight and Activity with Blood Pressure Monitoring System (WANDA [22]) that leverages sensor technology and wireless communication to monitor health status of patients with CHF. The WANDA system is built on a three-tier architecture consisting of sensors, a web server, and back-end database tiers. The system was developed in conjunction with the UCLA School of Nursing and the UCLA Wireless Health Institute to enable early detection of key clinical symptoms indicative of CHF-related decompensation in a real-time automated fashion and allows health professionals to offer surveillance, advice, and continuity of care and triggers early implementation of strategies to enhance adherence behaviors. The small study has enabled patients to reduce or maintain the number of readings which are out of the acceptable range. For diastolic, systolic, and heart rate values, the t-test results show that the WANDA study is effective for patients with CHF.
AB - Congestive heart failure (CHF) is a cardiovascular disorder that affects approximately 4.6 million Americans and is a leading cause of death in the United States. Current research shows that strategies to promote early recognition and treatment of symptoms and enhance self-care management behaviors reduce unnecessary hospitalizations. However, mechanisms to monitor patients' health status and behaviors are limited by constraints imposed by the patient's geography, infirmity, or resources. Remote monitoring supports a more dynamic connection between healthcare providers and patients, improves health promotion and patient care through monitoring of health data, communicates health reminders, and makes provisions for patient feedback. This paper will describe two versions of Weight and Activity with Blood Pressure Monitoring System (WANDA [22]) that leverages sensor technology and wireless communication to monitor health status of patients with CHF. The WANDA system is built on a three-tier architecture consisting of sensors, a web server, and back-end database tiers. The system was developed in conjunction with the UCLA School of Nursing and the UCLA Wireless Health Institute to enable early detection of key clinical symptoms indicative of CHF-related decompensation in a real-time automated fashion and allows health professionals to offer surveillance, advice, and continuity of care and triggers early implementation of strategies to enhance adherence behaviors. The small study has enabled patients to reduce or maintain the number of readings which are out of the acceptable range. For diastolic, systolic, and heart rate values, the t-test results show that the WANDA study is effective for patients with CHF.
KW - congestive heart failure patients monitoring
KW - data integrity
KW - database backup
KW - health monitoring
KW - real-time feedback
KW - telemedicine
KW - wireless health
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U2 - 10.1145/1882992.1883010
DO - 10.1145/1882992.1883010
M3 - Conference contribution
AN - SCOPUS:78650941840
SN - 9781450300308
T3 - IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium
SP - 108
EP - 117
BT - IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium
T2 - 1st ACM International Health Informatics Symposium, IHI'10
Y2 - 11 November 2010 through 12 November 2010
ER -