The Problem

Elective and urgent surgical episodes of care remain one of the last major cost centers in U.S. healthcare without an integrated, data driven and standardized management framework. Studies suggest surgical care represents 30% of overall healthcare costs, upwards of $900B per year.
Despite its financial magnitude, the preoperative process remains inefficient, fragmented, and costly. Patients are frequently shuffled between providers without access to consistent or complete clinical records. This disorganization leads to redundant testing and labs, unnecessary specialist referrals, delays and cancellations on the day of surgery, increased length of stay, and increased cost and intangible burdens on providers, payers, and patients. Fee-for-service reimbursement models often reinforce these inefficiencies, incentivizing volume over value and worsening care coordination along the perioperative continuum.
With the average American undergoing nine procedures during their lifetime, a more efficient and effective way of managing surgical care is needed. Surgical Population Management (SPM™) is a transformative care delivery framework that reimagines how surgical patients are evaluated, optimized, and coordinated across the perioperative continuum. By shifting from reactive, siloed interventions to a population health level strategy, SPM™ directly addresses the inefficiencies, redundancies, and safety risks that burden this patient cohort.
At the heart of this shift is the pursuit of Valume™, where scale and efficiency go hand-in-hand with quality outcomes. Help.AI leverages this principle to realign incentives and eliminate waste while ensuring that every surgical patient receives risk-informed, high-quality care