Surgical Decision Support Solution (SDss): Enhancing Surgical Outcomes

Every year, the US witnesses around 50 million surgeries, incurring a staggering $32 billion financial burden due to surgical complications. Complications arise in 15% of all surgical procedures, a number that can skyrocket to 50% in high-risk cases. This alarming trend has spurred a nationwide push to enhance preoperative and perioperative support, particularly for high-risk and high-cost patients.

High-risk patients face elevated rates of surgical postoperative complications, mortality, and readmissions, particularly affecting minority, and lower socioeconomic status individuals. Frailty, closely linked to high-risk and low SES categories, strongly predicts perioperative and postoperative complications, increased mortality rates, longer hospital stays, and higher 30/60/90-day readmission rates. These challenges significantly impact the financial performance and hospital quality ratings of healthcare organizations.

One potent strategy is the implementation of specialized preoperative intervention clinics, which have shown success in improving postoperative outcomes. However, identifying high-risk patients preoperatively is challenging due to limited access to timely patient care data and the absence of robust predictive models.

Dss Solutions and Cloudera have forged a strategic partnership to introduce the SDss onto the cutting-edge Cloudera CDP platform. This groundbreaking solution integrates AppliedAI, predictive, and prescriptive analytics models for proactive healthcare management. It leverages locally stored silo data from hospitals and other pertinent healthcare data within a versatile hybrid cloud environment.