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Chi WN, Reamer C, Gordon R, Sarswat N, Gupta C, White VanGompel E, Dayiantis J, Morton-Jost M, Ravichandran U, Larimer K, Victorson D, Erwin J, Halasyamani L, Solomonides A, Padman R, Shah NS. Continuous Remote Patient Monitoring: Evaluation of the Heart Failure Cascade Soft Launch. Appl Clin Inform 2021; 12:1161-1173. [PMID: 34965606 PMCID: PMC8716190 DOI: 10.1055/s-0041-1740480] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
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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Affiliation(s)
- Wei Ning Chi
- Outcomes Research Network, NorthShore University HealthSystem, Evanston, Illinois, United States,Address for correspondence Wei Ning Chi, MBBS, MPH Research Institute, 1001 University PlEvanston, IL 60201United States
| | - Courtney Reamer
- Department of Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Robert Gordon
- Department of Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Nitasha Sarswat
- Department of Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States,Department of Medicine, University of Chicago Pritzker School of Medicine, Chicago, Illinois, United States
| | - Charu Gupta
- Department of Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Emily White VanGompel
- Department of Family Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States,Department of Family Medicine, University of Chicago Pritzker School of Medicine, Chicago, Illinois, United States
| | - Julie Dayiantis
- Home and Hospice Services, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Melissa Morton-Jost
- Home and Hospice Services, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Urmila Ravichandran
- Health Information Technology, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Karen Larimer
- Clinical Department, physIQ, Inc., Chicago, Illinois, United States
| | - David Victorson
- Northwestern University Feinberg School of Medicine, Evanston, Illinois, United States
| | - John Erwin
- Department of Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States,Department of Medicine, University of Chicago Pritzker School of Medicine, Chicago, Illinois, United States
| | - Lakshmi Halasyamani
- Department of Family Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States,Department of Family Medicine, University of Chicago Pritzker School of Medicine, Chicago, Illinois, United States
| | - Anthony Solomonides
- Outcomes Research Network, NorthShore University HealthSystem, Evanston, Illinois, United States
| | - Rema Padman
- The Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
| | - Nirav S. Shah
- Department of Medicine, NorthShore University HealthSystem, Evanston, Illinois, United States,Department of Medicine, University of Chicago Pritzker School of Medicine, Chicago, Illinois, United States
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