Providing Beyond Clinic Hours: A Single-center Analysis of Patient Portal Communication in Pediatric Orthopaedic Care.
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2026-02
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Abstract
Background
Patient portals are an increasingly common tool for patient-provider communication not only improving access for patients but also creating a significant workload for providers. However, their utilization in pediatric orthopaedics remains unclear. This study aims to quantify the clinical workload and identify sociodemographic disparities associated with patient portal messages in a pediatric orthopaedic practice.Methods
This retrospective cohort study analyzed patient portal messages in the electronic medical record (EMR) from a single, tertiary academic hospital between August 1, 2023, and June, 30, 2025. We examined message volume and frequency in relation to patient demographics, including race, ethnicity, and primary language to identify patterns of utilization. Patients were included if they had a documented in-person or telephone- or message-based encounter. Descriptive statistics were used to summarize the patient (i.e., and family) cohort and trends in EMR use over time. Multivariable logistic and linear regressions were used to evaluate associations between messaging and patient-level characteristics.Results
A total of 12,346 patient portal messages were sent during the study period, with 24% of the entire patient cohort (n = 7,790) sending medical advice messages, averaging 10 messages per patient. Patients/families of Hispanic/Latino ethnicity (odds ratio [OR]: 0.69, P = .007), Black race (OR: 0.54, P < .001), Asian race (OR: 0.64, P = .007), and those with a primary language of Spanish (OR: 0.21, P < .001) had significantly lower odds of sending a message than White, non-Hispanic/Latino, and English-speaking counterparts. These groups, along with male patients/families, also sent a significantly lower volume of messages. Having a documented telephone call was associated with increased message volume (β = 6.8, P < .001), whereas in-person visits were associated with decreased volume (β = -2.3, P < .001).Conclusions
Patient portals in pediatric orthopaedics create a dual challenge of unsustainable provider workload and inequitable patient/family utilization. The high volume of uncompensated work may contribute to provider burnout, while the digital divide may worsen existing health disparities. Addressing these issues requires systemic solutions, including fair reimbursement models and targeted strategies to ensure equitable EMR access for all families.Key concepts
(1)This study quantifies the clinical workload and identifies sociodemographic disparities associated with over 12,000 patient portal messages in a pediatric orthopaedic practice.(2)A small subgroup of patients (24%) accounted for all messages, creating a significant and uncompensated workload for providers that may contribute to burnout.(3)Significant disparities in portal use were found, with Hispanic/Latino, Black, Asian, and Spanish-speaking families being far less likely to send messages than their White, English-speaking counterparts.(4)The language barrier proved to be the most significant factor for digital disengagement, with Spanish-speaking families having nearly 80% lower odds of sending a portal message than English-speaking families.(5)The combination of high provider workload (i.e., the number of messages) and inequitable patient access creates a dual challenge where patient portals may simultaneously risk provider burnout and worsen health disparities.Level of evidence
III, Retrospective Cohort Study.Type
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Publication Info
Shenoy, Devika A, Christian A Pean, Melissa Allen, Amy Behman, Robert K Lark and Anthony A Catanzano (2026). Providing Beyond Clinic Hours: A Single-center Analysis of Patient Portal Communication in Pediatric Orthopaedic Care. Journal of the Pediatric Orthopaedic Society of North America, 14. p. 100288. 10.1016/j.jposna.2025.100288 Retrieved from https://hdl.handle.net/10161/33951.
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Scholars@Duke
Christian Pean
Dr. Christian Péan is faculty in the Department of Orthopaedic Surgery at the Duke University School of Medicine, where he serves as Executive Director of AI & IT Innovation. He also holds a secondary appointment as core faculty at the Duke‑Margolis Institute for Health Policy. An orthopaedic trauma surgeon, Dr. Péan’s clinical expertise spans fracture care and arthroplasty for fracture care, with a focus on shoulder procedures, total hip replacement for fracture and post‑traumatic hip arthritis, and the management of complex traumatic conditions including proximal humerus fractures, humerus nonunion, periprosthetic fracture fixation, and pelvis/acetabulum reconstruction.
Dr. Péan’s research addresses critical issues in orthopaedic surgery and health policy, with over 80 peer‑reviewed publications across artificial intelligence, public health, ethics, and surgical technique in orthopaedic trauma. His work leverages AI, data science, policy design, and clinical care transformation to address population health and value-based care in musculoskeletal care. A central thread of his scholarship integrates machine learning and large language models into risk prediction and care coordination to improve surgical outcomes. He has led system‑level efforts to screen for social drivers of health and coordinate resources for patients facing housing instability, transportation barriers, and food insecurity. He also develops and implements LLM‑based technologies that improve clinician workflow, and enhance patient engagement—core elements of population health focused, value‑based specialty care. Dr. Péan is active in policy advocacy and population health, with interests in specialty care alternative payment models.
A physician‑innovator, Dr. Péan is the Founder and CEO of RevelAi Health, a health technology company advancing the transition to value‑based care in musculoskeletal health with conversational AI. Built by clinicians and policy experts, RevelAi Health is designed to improve patient outcomes while combating clinician burnout through AI‑enabled care coordination.
Melissa Mundy Allen
Amy Lilian Behman
Robert Lark
Anthony Agostino Catanzano
Research at Duke Health allows us to improve the treatments we provide to patients and enhance the overall patient and family health care experience. My primary research interests focus on developing shared decision-making models between physicians and patients, as well as studying the impact of mental health conditions on orthopaedic surgery outcomes and how we can improve our recognition and treatment efforts.
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