From angst to analytics: lessons learned from an oncology care model internal pilot
Thirteen practices affiliated with the US Oncology Network (USON) were invited to participate in the Oncology Care Model (OCM), a value-based care initiative that required changes in the following domains: 24/7 coverage, electronic health records (EHR) certification, navigation and care coordination, continuous quality improvement, incorporation of the Institute of Medicine Care Plan, and adherence to nationally recognized guidelines. Although 24/7 physician coverage, access to EHR, and adherence to guidelines were routine for these practices, the other requirements represented significant challenges. To be prepared for this transformative opportunity, USON implemented a pilot program 4 sites 6 months before participation began to identify the practice changes that would be needed to meet OCM requirements with the goal of standardizing best practices that would be shared with other USON sites. Through the pilot, the practices developed team-based approaches for navigation, the treatment plan, team-based care, and a core technology platform to address extensive OCM documentation requirements. An ongoing challenge is addressing the cultural resistance to change, which can hopefully be addressed with data and outcomes. Unexpected findings included the difficulty in identifying eligible candidates, a need to increase emphasis on adherence to national guidelines, and a need for strategies to reduce hospitalizations and emergency department visits. The pilot program showed that several seemingly challenging aspects of the OCM were feasible and areas for improvement were identified for improving the patient experience while decreasing the cost of cancer care.
Accepted for publication September 14, 2017
Correspondence Marcus A Neubauer, MD; Marcus.Neubauer@Mckesson
Disclosures The authors report no disclosures/conflicts of interest.
Citation JCSO 2017;15(6):e297-e302
©2017 Frontline Medical Communications
doi https://doi.org/10.12788/jcso.0371
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Acknowledgment
The authors thank Supriya Srinivasan, PhD, for editorial support.