The Utility of CardioMEMS, a Wireless Hemodynamic Monitoring System in Reducing Heart Failure Related Hospital Readmissions

Joshi, Rosha; Nair, Ajith

doi:10.1016/j.nurpra.2020.12.032

Cited by 1 publication

(1 citation statement)

References 24 publications

(33 reference statements)

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“…Invasive RPM methods like CardioMEMS have been demonstrated to reduce HF-related readmissions in select populations. 11 12 Non-invasive RPM trials commonly use devices to monitor blood pressure, weight, or electrocardiograms with RPM protocols for care management. 13 14 15 16 17 Although the methods and results for non-invasive RPM vary, 13 14 15 16 17 18 19 20 RPM shows promising results in improving quality of life, 18 19 reducing HF readmissions 14 17 and health service utilization.…”

Section: Background and Significancementioning

confidence: 99%

Continuous Remote Patient Monitoring: Evaluation of the Heart Failure Cascade Soft Launch

et al. 2021

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Objective We report on our experience of deploying a continuous remote patient monitoring (CRPM) study soft launch with structured cascading and escalation pathways on heart failure (HF) patients post-discharge. The lessons learned from the soft launch are used to modify and fine-tune the workflow process and study protocol. Methods This soft launch was conducted at NorthShore University HealthSystem's Evanston Hospital from December 2020 to March 2021. Patients were provided with non-invasive wearable biosensors that continuously collect ambulatory physiological data, and a study phone that collects patient-reported outcomes. The physiological data are analyzed by machine learning algorithms, potentially identifying physiological perturbation in HF patients. Alerts from this algorithm may be cascaded with other patient status data to inform home health nurses' (HHNs') management via a structured protocol. HHNs review the monitoring platform daily. If the patient's status meets specific criteria, HHNs perform assessments and escalate patient cases to the HF team for further guidance on early intervention. Results We enrolled five patients into the soft launch. Four participants adhered to study activities. Two out of five patients were readmitted, one due to HF, one due to infection. Observed miscommunication and protocol gaps were noted for protocol amendment. The study team adopted an organizational development method from change management theory to reconfigure the study protocol. Conclusion We sought to automate the monitoring aspects of post-discharge care by aligning a new technology that generates streaming data from a wearable device with a complex, multi-provider workflow into a novel protocol using iterative design, implementation, and evaluation methods to monitor post-discharge HF patients. CRPM with structured escalation and telemonitoring protocol shows potential to maintain patients in their home environment and reduce HF-related readmissions. Our results suggest that further education to engage and empower frontline workers using advanced technology is essential to scale up the approach.

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