The Impact of AI-Assisted Nursing Care Intervention Within the Enhanced Recovery Framework on Outcomes of Colorectal Surgery Patients

Colorectal cancer is one of the most common cancers worldwide, affecting a large number of people each year (Bray et al., 2022). Surgical intervention remains the gold standard in treatment. However, advances in surgical techniques and increased effectiveness of neoadjuvant therapies have brought sphincter-preserving surgeries to the forefront, reducing the need for stoma creation compared to the past (Jo \& Wilson, 2025; Wang et al., 2025). Even without stoma creation, these patients face complex care needs in the post-discharge period, including changes in bowel habits, nutritional management, and adaptation to physical activity (Wang et al., 2025). Difficult-to-manage complications carry a high risk of readmission to the hospital. Patients receive limited support during the transition from the hospital to home and at home (Storm et al., 2024). Patients and their families are often left alone to manage home care until routine follow-up appointments. Patients, especially those poorly prepared for discharge, may not know how to perform care practices at home or what to watch out for in case of complications. Situations that are well managed in the hospital can spiral out of control upon inadequate follow-up after the patient returns home, leading to unplanned readmissions. Insufficient postoperative patient follow-up can cause anxiety in patients, leading to readmissions due to the inability to manage the home care process effectively (Storm et al., 2024). Although accelerated recovery after surgery (ERAS) is known to shorten hospital stays (Gustafsson et al., 2025; Gustafsson et al., 2019), studies show varying results regarding readmissions, re-operations, developing complications, and survival (Coleman et al., 2006; Takchi et al., 2020; Lee et al., 2022). These variable results highlight the need for a structured discharge process and home care management for patients who undergo ERAS and are discharged home earlier. In the study by Takchi et al. (2020), a scheduled phone call was proposed as the final step in advanced recovery recommendations and presented as a pilot study. The study reported that each patient contacted reported at least one symptom and personal care need (Takchi et al., 2020). The scheduled phone calls proposed by Takchi et al. (2020) are an important monitoring mechanism in the recovery process; however, they are insufficient. Supporting this monitoring process with a structured discharge management and AI-powered digital video accessible to the patient at any time, extends the continuity of care to a digital dimension. It is reported that AI-powered multimedia tools, whose use is increasing with the transformation in health technologies today, reduce cognitive load by concretizing complex surgical processes with audiovisual materials and improve patients' self-care skills regardless of their health literacy level (Mendoza-Pinto et al., 2025). "Content prepared with generative artificial intelligence algorithms, in particular, increases the retention of information and the patient's digital health literacy compared to traditional educational materials (Zaretsky et al., 2024). This study aims to both structure the discharge and post-discharge follow-up process, which is included in ERAS protocols to a limited extent, and to increase the patient's readiness for discharge, improve patient outcomes, and facilitate home care management using AI-assisted educational videos. Thus, the study significantly points to a fourth step, which is included in ERAS guidelines in the pre-operative, intra-operative, and post-operative phases and is felt to be missing: the discharge and home follow-up process.

Inclusion Criteria: Agreement to participate in the study Being 18 years of age or older Ability to communicate in Turkish No visual or hearing impairment No cognitive impairment Undergoing elective colorectal surgery in accordance with an accelerated postoperative recovery protocol Exclusion Criteria: Patients who did not meet the inclusion criteria