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• W2604982092 abstract "49 Background: Development and implementation of robust reporting processes to systematically provide quality data to care teams in a timely manner is challenging. National cancer quality measures are useful, but the required manual data collection is slow and resource-intensive. We designed a largely automated measurement system with our multidisciplinary cancer care programs (CCP). Methods: CCP physician leaders (MD) identified two measures that were meaningful to their team and patients. The quality team worked with hospital and university analytics teams to develop metrics and reports. Hospital leadership provided financial incentives (FI) for each CCP if jointly set targets were met. Results: 16 metrics were identified and measured for 13 CCPs (Table). Measures spanned from new diagnosis (ND) through end of life or survivorship care, and were a mix of process and outcome measures. To build and manage metrics required 2 full-time equivalent data analysts and quality specialists over 12 months. CCP MDs received monthly reports for dissemination to their team. Almost all measures improved or maintained initial high levels (*). FI awards will be used for quality improvement, education, and team-building, as determined by CCP MDs. Conclusions: A successful quality reporting system with measured improvements takes considerable engagement and resources, including FI, data systems, and staff to build, manage, and improve measures. This may not be feasible or sustainable for centers in the current fiscal environment. [Table: see text]" @default.
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• W2604982092 date "2017-03-10" @default.
• W2604982092 modified "2023-09-26" @default.
• W2604982092 title "Improving care with portfolio of physician-led cancer quality measures at an academic center." @default.
• W2604982092 doi "https://doi.org/10.1200/jco.2017.35.8_suppl.49" @default.
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