AANS Online Scientific Sessions: Spine and Peripheral Nerve-Improving Risk Management in Spine Surgery Patients through Cost Burden Prediction

Improving Risk Management in Spine Surgery Patients through Cost Burden Prediction

Video Transcription

Video Summary

In this video, Joseph Zabinski, the Director of Data Solutions at OM1 in Boston, discusses the importance of risk management and cost burden prediction in spine surgery patients. He explains that value-based care programs have become increasingly important for hospitals and health systems, which reimburse for episodes of care as a whole rather than individual services. He emphasizes the need for preoperative risk stratification, particularly in elective spine surgeries, due to the substantial variation in total cost and the impact of a few patients with disproportionate resource utilization on overall financial performance. Zabinski describes the development of a predictive algorithm using preoperative information from the OM1 Real-World Data Cloud to assess the risk of bundle breaking and post-surgical resource utilization. The algorithm generates a preoperative risk score, or the OM1 Spine Score, which was found to be highly predictive, enabling better targeting of preoperative resources to reduce complications and bundle breaking. The algorithm is currently being studied in a clinical spine surgery practice at a major academic medical center in the Midwest.

Asset Subtitle

Joseph Zabinski

Keywords

risk management

cost burden prediction

spine surgery patients

value-based care programs

preoperative risk stratification