医学
个性化
心理干预
心力衰竭
远程医疗
重症监护医学
医疗急救
桥接(联网)
医疗保健
心脏病学
护理部
计算机安全
万维网
计算机科学
经济增长
经济
作者
Lynne W. Stevenson,Heather J. Ross,Lisa D. Rathman,John P. Boehmer
标识
DOI:10.1016/j.jacc.2023.04.010
摘要
Early telemonitoring of weights and symptoms did not decrease heart failure hospitalizations but helped identify steps toward effective monitoring programs. A signal that is accurate and actionable with response kinetics for early re-assessment is required for the treatment of patients at high risk, while signal specifications differ for surveillance of low-risk patients. Tracking of congestion with cardiac filling pressures or lung water content has shown most impact to decrease hospitalizations, while multiparameter scores from implanted rhythm devices have identified patients at increased risk. Algorithms require better personalization of signal thresholds and interventions. The COVID-19 epidemic accelerated transition to remote care away from clinics, preparing for new digital health care platforms to accommodate multiple technologies and empower patients. Addressing inequities will require bridging the digital divide and the deep gap in access to HF care teams, who will not be replaced by technology but by care teams who can embrace it.
科研通智能强力驱动
Strongly Powered by AbleSci AI