Highlight
- An app-based platform enables daily patient-reported symptom tracking after pancreatic surgery during the critical two-week post-discharge period.
- The system incorporates algorithm-driven alerts prompting tiered interventions that facilitate timely clinical response to potential complications.
- Early implementation shows high patient compliance and satisfaction, suggesting feasibility and acceptability among this high-risk population.
Study Background
Pancreatic surgery, particularly the Whipple procedure, remains a cornerstone treatment for resectable pancreatic malignancies but carries significant postoperative risks. Despite advances in surgical technique and perioperative care, patients frequently experience complications after discharge, such as infections, pancreatic fistulas, or delayed gastric emptying. These complications can be challenging to detect early due to subtle symptom onset, leading to high rates of hospital readmission and increased morbidity. Conventional follow-up often depends on scheduled visits or patient-initiated contact, which may delay recognition and treatment of adverse events.
Recent trends toward patient-centered care and digital health offer an opportunity to improve postoperative outcomes through real-time remote symptom monitoring. Patient-reported outcomes (PROs) have demonstrated value in oncology for symptom management and quality of life improvement. However, integration of PRO-based monitoring tailored for complex surgical patients in the immediate post-discharge period remains understudied. This quality improvement (QI) project addresses this unmet need by evaluating the feasibility of a smartphone application to track symptoms daily and prompt timely interventions after major pancreatic surgery.
Study Design
This QI initiative was conducted in an academic pancreatic surgery program between August 2023 and February 2024. Eligible patients scheduled for pancreatic resection were enrolled preoperatively. The intervention involved daily symptom surveys delivered via a smartphone application over the first 14 days following hospital discharge. The survey assessed 10 symptoms indicative of potential postoperative complications, including pain, nausea, fever, abdominal distension, and others.
The system was designed with an algorithm that generated alerts when symptoms met pre-specified thresholds. Alerts were routed to a Virtual Health Center (VHC), staffed by trained technicians and clinical nurses, who triaged alerts and escalated serious issues to physicians. The clinical team contacted patients to verify symptoms, provide remote advice, initiate interventions, or arrange expedited surgical evaluation if necessary.
Patient adherence and satisfaction with the reporting system and VHC interaction were prospectively measured on a 0–10 scale, with 10 indicating maximal satisfaction.
Key Findings
A total of 21 patients were enrolled, with 13 completing the program, 5 pending surgery or discharge, and 3 opting out post-discharge. The majority underwent a Whipple procedure (61.5%). Patients enrolled in the monitoring system promptly after discharge (median 1 day) and remained engaged for the intended duration (median 14 days).
Adherence was high, with patients completing 81.5% of daily surveys on average, reflecting strong engagement despite the demands of the postoperative period. The symptom alerts triggered 138 times over the study duration. Most alerts were managed by VHC technicians or nurses, with physician involvement required for 11 escalations, demonstrating an efficient triage system.
Importantly, the program achieved excellent patient satisfaction, with a median score of 10/10 for both the application/survey interface and the VHC support. The interquartile ranges (7.5–10 and 10–10, respectively) suggest consistency in the positive patient experience.
Although the study was not designed to measure clinical endpoints like readmission reduction, the early results support the feasibility and potential clinical utility of real-time patient-reported symptom monitoring to improve post-pancreatectomy care.
Expert Commentary
Real-time postoperative monitoring using digital health platforms represents a promising shift toward proactive, patient-centered follow-up in high-risk surgical populations. The demonstrated feasibility in this cohort is encouraging, particularly given the historically high complication burden and difficulty recognizing early signs of deterioration after pancreatic surgery.
The tiered response system embedded within the workflow is a pragmatic approach to resource utilization, reserving physician input for clinically complex cases while managing less severe alerts efficiently. This model may help optimize healthcare delivery and potentially reduce preventable readmissions.
Limitations include the small sample size and single-center academic setting, which may affect generalizability. Furthermore, patients not participating post-discharge highlight barriers such as app usability, digital access, or postoperative fatigue that warrant further investigation.
Future studies should include controlled designs to determine impact on clinical outcomes, cost-effectiveness, and long-term patient engagement. Integration with electronic health records and expanding symptom coverage could further enhance clinical decision support.
Conclusion
This quality improvement project supports the feasibility and acceptability of an application-based, patient-reported symptom tracking system combined with a Virtual Health Center for real-time intervention after pancreatic surgery. High patient adherence and satisfaction underscore its potential as an adjunct to traditional postoperative care. Continued development and rigorous evaluation are warranted to confirm benefits in morbidity reduction and healthcare utilization, ultimately improving surgical outcomes in this vulnerable population.
Funding and Clinical Trials
No specific funding sources or clinical trial registrations were reported in the article.
References
1. Khomiak A, Fajolu O, Abud VL, et al. Patient-reported symptom tracking and intervention in real time after pancreatic surgery: A quality improvement project. Surgery. 2026 May 14;196:110321. doi:10.1016/j.surg.2026.110321. PMID: 42235126.
2. Rosenthal MH, et al. Early recognition of complications after pancreatic surgery: challenges and opportunities. J Surg Oncol. 2020;121(2):268-276.
3. Basch E, et al. Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial. J Clin Oncol. 2016;34(6):557-565.
4. Liu FX, et al. Use of digital health technology for post-discharge symptom monitoring in surgical oncology patients. Ann Surg Oncol. 2023;30(4):1576-1584.
