Workflow Analysis to Inform a Remote Patient Monitoring System Implementation
e-Health ePoster Library. Peter Rossos M. Jun 6, 2017; 167100; EP06.02
Mr. Martin Lam and Peter Rossos
Mr. Martin Lam and Peter Rossos
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Purpose/Objectives: This summer student project created a workflow and implementation plan for a remote patient monitoring (RPM) system in a complex chronic disease management clinic. Baseline observations and analysis were performed in order to understand care pathways and identify how to introduce the technology and contextually train patients and providers involved in care. We avoided interruption of care while designing optimal methods for training and support. The goal was to improve patient outcomes through earlier detection and treatment modification to avoid complications and unnecessary hospital admissions. Based on favorable pilot study data the intent was to scale and offer RPM as standard care.

Methodology/Approach: Analysis of current workflow. The complete ambulatory process from patient check-in, waiting time, exam room, clinical care, and check out were carefully observed and documented. New workflow creation. UML diagrams modeled the training and deployment of the RPM technology in the clinic setting. This allowed clinic staff to easily and visually follow the steps on how to handle patients, reports, and notifications. The staff training was customized to roles and responsibilities and individualized on the basis of skills and requirements. Unique job creation. In order to provide ongoing support and sustainability, the analysis highlighted the need for unique roles and responsibilities to train and onboard patients and staff, advise them of system updates, gather ongoing feedback for quality improvement, and provide technical assistance. In addition, based on our observations and interviews we created print and online learning tools including videos tailored to the needs of patients and staff. Assembled kits were intuitive for a wide range of patients including the visually and physically impaired.

Finding/Results: Systematic and detailed workflow and process analysis was very effective in determining the implementation, training and support requirements for deployment of an RPM system in a large congestive heart failure clinic providing care to patients with advanced complex chronic illness. The UML diagram summarizes some of our key observations and proposed interventions.

Conclusion/Implications/Recommendations: Scaling an RPM system requires a clear understanding of the needs of both patients and the care team in order to implement, support and optimize the value of the deployed technology. There is sufficient data to support the use of RPM in order to improve patient outcomes in a variety of clinical conditions. The approach and learnings from this project will be applied to other patients in our organization and hopefully elsewhere in order to provide safer, more effective and affordable care.

140 Character Summary: Implementing a large scale RPM system requires the efforts of new workflows, electronic teaching materials, and unique staff.
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