Internal-surgical co-management in emergency surgery: proposal of an organizational model

The perioperative care of patients undergoing emergency or urgent surgery often involves complex management, especially in elderly individuals with multiple comorbidities. Traditional consultative models, which rely on specialist referrals, may lead to frag-mented care. To address this, an integrated model of medical-surgical co-management has been implemented at Careggi University Hospital. This approach emphasizes the involvement of in-ternists in the perioperative management of surgical patients, aiming to enhance continuity of care and improve clinical out-comes. A cohort study was conducted comparing two groups of patients admitted to the Emergency Surgery Department: one group managed under the traditional model (2016-2019) and one group managed under the integrated model with internist involvement (2021-2024). Key outcomes, including length of stay, transfers to intensive care, mortality, and specialist consultations, were compared between the two cohorts. Data were collected using ICD-9-CM codes, with adjustments made for patient characteristics and procedures. The cohort managed with internist co-management (n=3427) had a significantly lower mortality rate (2.19%) and fewer transfers to intensive care units (ICU) compared to the cohort managed by surgeons alone (n=3870; 2.94% mortality, 12.3% ICU trans-fers). The number of specialist consultations for pulmonology, cardiology, and nephrology was also significantly reduced in the co-management group. However, no significant difference was observed in the length of stay between the two groups. The integration of internists in the management of emergency surgical patients resulted in improved clinical outcomes, including reduced mortality and fewer transfers to high-intensity care settings. While the length of stay did not change signifi-cantly, the co-management model appears to offer substantial benefits in optimizing care and resource use. Further prospec-tive studies are needed to confirm these findings and evaluate the economic impact of this organizational model.