General Session Speakers

Using a Predictive Model and Remote Patient Monitoring to Reduce Emergency Room Visits for Symptom Management in a Chemotherapy Population

15:55 PM April 16th
Amber Hoffman, MSN,RN, Manager, Clinical Education & Quality, Oregon Health and ScienceUniversity
Peter Graven, PhD, LeadData Scientist, Oregon Health and Science University
Monica Cfarku, RN,MSN, BMTCN, CCM, NE-BC, Manager, Clinical Education & Quality, OregonHealth and Science University

In 2016, Oregon Health & Science University signed ontothe Oncology Care Model (OCM) program. In order to prevent unnecessaryutilization and provide more timely care, a remote patient monitoring devicewas deployed. A custom predictive model was developed to help target high riskpatients. OHSU worked with a vendor to create a remote patient monitoringprogram (RPM) for chemotherapy symptom management. A device was provided topatients and a triage call center escalated concerns to the care team throughsecure messaging in the electronic health record. The program launched February2019. Patients were identified using the predictive model. The provider offeredthe program to patients during their clinic appointment. A statistical analysiswas conducted to assess the number of ED visits from the treated populationrelative to their predicted rate from a historical analysis. By November 2019,20 patients had completed program. Expected number of ED visits was 9 with anestimated spend of $3,000 per visit ($27,000). Average program cost per patientis $600 ($12,000 for 20 patients). There were 2 recorded ED visits. Thus far,the program reduces cost.  Sixty-sevenpercent of respondents agreed that the program helped them better manage theircondition at home (N=14).
Receive useful, cutting-edge information about telehealth:Sign up for emails
search topic
MainSession ScheduleSpeakersSponsors & ExhibitorsPhoto Gallery
Scroll To Top