Implementation of an EHR integrated oncology patient navigation dashboard: A system for streamlining patient barrier management and care coordination.
590 Background: Our urban, cancer center's navigation program includes 7 navigators who support 5 disease teams and radiation oncology. Previously, our patient tracking process relied on manual spreadsheets and separate software systems. To enhance real-time patient tracking and enable CMS Patient Navigation Incentive billing documentation, we developed an Epic-integrated navigation dashboard. This abstract describes our implementation process and provides a replicable framework for other cancer centers to optimize their navigation programs. Methods: In May 2024, we established an interdisciplinary team including Oncology Navigation, Quality, and IT to deploy a dashboard within Epic's Compass Rose application. Implementation involved: (1) stakeholder needs assessment; (2) dashboard design incorporating AONN+ Navigation Toolkit metrics including caseload, barriers, interventions, encounters, timeliness, and adherence; (3) iterative build and testing; (4) phased rollout with training. We established data validation protocols, standardized barrier taxonomies, and automated reporting. Implementation required 6 months with 0.5 FTE IT support. We used descriptive statistics to assess interventions performed based on identified patient needs and average time from diagnosis to treatment. Results: Since the October 2024 rollout, 1,231 cases have been documented using the navigation dashboard. The most identified patient needs include knowledge deficits, institutional barriers, and transportation challenges. Interventions for knowledge deficits include patient education with teach-back methodology (95%), interventions for institutional barriers included direct coordination with the primary team (65%) and cross-departmental collaboration (31%) and interventions related to transportation included transportation facilitation (66%). There was a significant improvement in access, the thoracic oncology nurse navigator reduced the average time from diagnosis to first treatment by 50% from 50 to 24 days. Additional outcomes include reduced administrative burden through streamlined documentation, enhanced care coordination via real-time patient tracking, standardized barrier identification, automated monthly reporting, and establishment of baseline data. Conclusions: Successful implementation required interdisciplinary collaboration and engagement, IT partnership, standardized metrics, and data validation. This provides a replicable framework for cancer centers enhancing navigation effectiveness. The integrated approach eliminated data silos, improved coordination, and established infrastructure for CMS PIN billing. Barrier to care identified. Barrier Identified % Knowledge deficit 19% Institutional 19% Transportation 15% Treatment Compliance 15%
Authors
- Brittany Aryeh
- Melissa Mazor (ORCID: https://orcid.org/0000-0003-0966-4578)
- Cardinale B. Smith (ORCID: https://orcid.org/0000-0003-3635-8701)
- Natalie Lucas
- Aarti Sonia Bhardwaj (ORCID: https://orcid.org/0000-0001-5346-8131)
- Alison Snow (ORCID: https://orcid.org/0000-0003-3983-4857)
- Katherine Fromm
- Mark Liu (ORCID: https://orcid.org/0000-0002-5168-3994)
- Rachel Pappalardo
- Mitchell Backelman
- Ryan Fliehman
Institutions
- Mount Sinai Health System (US)
- Memorial Sloan Kettering Cancer Center (US)
- Mount Sinai Medical Center (US)
- Mount Sinai Hospital (US)
- Tisch Hospital (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- JCO Oncology Practice
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1200/op.2025.21.10_suppl.590
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00