Gross-Schulman Sandra, Sklaroff Laura Myerchin, Hertz Crystal Coyazo, Guterman Jeffrey J
1 Los Angeles County Department of Health Services , Los Angeles, California.
2 College of Behavioral and Social Sciences, California State University , Northridge, California.
Popul Health Manag. 2017 Dec;20(6):449-457. doi: 10.1089/pop.2016.0186. Epub 2017 May 9.
Heart Failure (HF) is the most expensive preventable condition, regardless of patient ethnicity, race, socioeconomic status, sex, and insurance status. Remote telemonitoring with timely outpatient care can significantly reduce avoidable HF hospitalizations. Human outreach, the traditional method used for remote monitoring, is effective but costly. Automated systems can potentially provide positive clinical, fiscal, and satisfaction outcomes in chronic disease monitoring. The authors implemented a telephonic HF automated remote monitoring system that utilizes deterministic decision tree logic to identify patients who are at risk of clinical decompensation. This safety study evaluated the degree of clinical concordance between the automated system and traditional human monitoring. This study focused on a broad underserved population and demonstrated a safe, reliable, and inexpensive method of monitoring patients with HF.
心力衰竭（HF）是最昂贵但可预防的病症，无论患者的种族、民族、社会经济地位、性别和保险状况如何。通过及时的门诊护理进行远程远程监测可以显著减少可避免的HF住院治疗。人工随访是用于远程监测的传统方法，虽然有效但成本高昂。自动化系统在慢性病监测中可能会产生积极的临床、财务和满意度结果。作者实施了一种电话HF自动远程监测系统，该系统利用确定性决策树逻辑来识别有临床失代偿风险的患者。这项安全性研究评估了自动化系统与传统人工监测之间临床一致性的程度。本研究关注的是广泛的服务不足人群，并证明了一种安全、可靠且廉价的HF患者监测方法。
