148 Background: Care coordination (CC) has been identified by the IOM as critically important for the delivery of quality medical care. Coordination of care is especially important in oncology due to multiple encounters, many physicians, significant toxicities and several care transition points. Standard patient satisfaction surveys do not accurately measure CC and there are few instruments to measure a patient’s perspective of CC directly. In this project, multiple PDSA cycles were utilized with oncology patients to develop a Care Coordination Instrument (CCI) that was then used to compare the level of CC in two distinct practices. Methods: Survey questions were initially prepared by the research team after review of existing literature, submitted to oncology RNs, NPs and MDs and then modified based on their feedback. A new survey was then administered to 30 patients. This was again modified to eliminate or improve questions that were confusing to patients. A third survey instrument was developed and administered to an additional 30 patients. Statistical analysis identified that several questions were too structured leading to many “not applicable” responses. These were changed to a more conceptual framework. The survey was then administered to 30 patients in the myeloma practice and 30 in the GI oncology practice. Results: The CCI included questions from 4 areas of coordination (patient-physician; between health providers; during inpatient-to-ambulatory care transitions; during transitions across different phases of care) and 3 domains (Communication, Operational, Navigation). The GI oncology practice scored significantly better than the myeloma practice on the communication and navigation domains (p < 0.01). There was no significant difference in the operational domain. Conclusions: Testing to date suggests that the CCI is a useful instrument in measuring an oncology patient’s perception of CC. For two distinct practices, significant differences in the delivery of CC were identified. Further refinement is necessary to modify or eliminate questions with high levels of missing data due to non-responsiveness. Separate sub-scores across domains help identify specific targets for quality improvement interventions.