An Electronic Health Record-Based Automated Self-Rescheduling Tool to Improve Patient Access: Retrospective Cohort Study.

BACKGROUND: In many large health centers, patients face long appointment wait times and difficulties accessing care. Last-minute cancellations and patient no-shows leave unfilled slots in a clinician's schedule, exacerbating delays in care from poor access. The mismatch between the supply of outpatient appointments and patient demand has led health systems to adopt many tools and strategies to minimize appointment no-show rates and fill open slots left by patient cancellations. OBJECTIVE: We evaluated an electronic health record (EHR)-based self-scheduling tool, Fast Pass, at a large academic medical center to understand the impacts of the tool on the ability to fill cancelled appointment slots, patient access to earlier appointments, and clinical revenue from visits that may otherwise have gone unscheduled. METHODS: In this retrospective cohort study, we extracted Fast Pass appointment offers and scheduling data, including patient demographics, from the EHR between June 18, 2022, and March 9, 2023. We analyzed the outcomes of Fast Pass offers (accepted, declined, expired, and unavailable) and the outcomes of scheduled appointments resulting from accepted Fast Pass offers (completed, canceled, and no-show). We stratified outcomes based on appointment specialty. For each specialty, the patient service revenue from appointments filled by Fast Pass was calculated using the visit slots filled, the payer mix of the appointments, and the contribution margin by payer. RESULTS: From June 18 to March 9, 2023, there were a total of 60,660 Fast Pass offers sent to patients for 21,978 available appointments. Of these offers, 6603 (11%) were accepted across all departments, and 5399 (8.9%) visits were completed. Patients were seen a median (IQR) of 14 (4-33) days sooner for their appointments. In a multivariate logistic regression model with primary outcome Fast Pass offer acceptance, patients who were aged 65 years or older (vs 20-40 years; P=.005 odds ratio [OR] 0.86, 95% CI 0.78-0.96), other ethnicity (vs White; P<.001, OR 0.84, 95% CI 0.77-0.91), primarily Chinese speakers (P<.001; OR 0.62, 95% CI 0.49-0.79), and other language speakers (vs English speakers; P=.001; OR 0.71, 95% CI 0.57-0.87) were less likely to accept an offer. Fast Pass added 2576 patient service hours to the clinical schedule, with a median (IQR) of 251 (216-322) hours per month. The estimated value of physician fees from these visits scheduled through 9 months of Fast Pass scheduling in professional fees at our institution was US $3 million. CONCLUSIONS: Self-scheduling tools that provide patients with an opportunity to schedule into cancelled or unfilled appointment slots have the potential to improve patient access and efficiently capture additional revenue from filling unfilled slots. The demographics of the patients accepting these offers suggest that such digital tools may exacerbate inequities in access.

The Impact of Patient Travel Distance on Outpatient Visit Satisfaction: Comparison of Telehealth and Traditional In-Person Visits.

Introduction: Patient satisfaction has been shown to changes based on the distance a patient to see their physician. We sought to examine the effects of telehealth on patient satisfaction. Methods: We examined patient satisfaction survey scores from outpatient clinics at University of California, San Francisco. Patient home and clinic addresses were used to calculate distance in kilometers (km). Outcomes were "top scores (9-10)" and "low scores (<9)." Results: Of 103,124 evaluations that met inclusion criteria, those where patient traveled >100 km for in-person visits had more top scores (84%) than those traveled <10 km (80.2%). Relative to in-person visits, telehealth was associated with an increased odds (odds ratio [OR]: 1.48) of receiving a top score at all distances. Those traveling >100 km had the highest odds of top score for telehealth (OR: 1.86). Conclusions: Patients receiving care through telehealth, particularly those far from the outpatient clinic, are more likely to provide high patient satisfaction scores for the visit provider.

Residual Benign Prostate Glandular Tissue after Radical Prostatectomy is Not Associated with the Development of Detectable Postoperative Serum Prostate Specific Antigen.

PURPOSE: To determine if benign glandular tissue at the surgical margin (BGM) is associated with detectable prostate specific antigen (PSA) and/or biochemical recurrence (BCR) after radical prostatectomy (RP). MATERIALS AND METHODS: Participants underwent RP for localized prostate cancer between 2004 and 2018. Regression analysis was used to identify demographic, clinical and surgical factors associated with the likelihood of BGM presence on surgical pathology. Oncologic outcomes included detectable PSA (>0.03 ng/ml), BCR (≥0.2 ng/ml) and progression to BCR or salvage treatment after detectable PSA. Life tables and Cox proportional hazards regression models were used to determine the association of BGM and risk of oncologic outcomes. RESULTS: A total of 1,082 men underwent RP for localized prostate cancer with BGM reported on surgical pathology and an undetectable postoperative PSA. BGM was present on 249 (23%) specimens. Younger age, bilateral nerve sparing surgery and robotic approach were associated with presence of BGM while malignancy at the surgical margin (MSM) was not. At 7 years after RP, 29% experienced detectable PSA and 11% had BCR. In the subgroup of men who reached detectable PSA, 79% had progression within 7 years. On multivariate Cox proportional hazards regression, BGM status was not independently associated with detectable PSA, BCR and/or progression from detectable PSA to BCR or salvage treatment. CONCLUSIONS: The presence of BGM at RP was not associated with increased risk of MSM, detectable PSA, BCR or progression after detectable PSA.

Supervised line attention for tumor attribute classification from pathology reports: Higher performance with less data.

OBJECTIVE: We aim to build an accurate machine learning-based system for classifying tumor attributes from cancer pathology reports in the presence of a small amount of annotated data, motivated by the expensive and time-consuming nature of pathology report annotation. An enriched labeling scheme that includes the location of relevant information along with the final label is used along with a corresponding hierarchical method for classifying reports that leverages these enriched annotations. MATERIALS AND METHODS: Our data consists of 250 colon cancer and 250 kidney cancer pathology reports from 2002 to 2019 at the University of California, San Francisco. For each report, we classify attributes such as procedure performed, tumor grade, and tumor site. For each attribute and document, an annotator trained by an oncologist labeled both the value of that attribute as well as the specific lines in the document that indicated the value. We develop a model that uses these enriched annotations that first predicts the relevant lines of the document, then predicts the final value given the predicted lines. We compare our model to multiple state-of-the-art methods for classifying tumor attributes from pathology reports. RESULTS: Our results show that across colon and kidney cancers and varying training set sizes, our hierarchical method consistently outperforms state-of-the-art methods. Furthermore, performance comparable to these methods can be achieved with approximately half the amount of labeled data. CONCLUSION: Document annotations that are enriched with location information are shown to greatly increase the sample efficiency of machine learning methods for classifying attributes of pathology reports.

A Nationally Representative Study of Nonindex Hospital Readmissions following Radical Prostatectomy: Implications for Bundled Payment Models.

PURPOSE: Implementing episode based payment models requires a detailed understanding of health care utilization throughout the 90-day postoperative episode. This includes nonindex hospital readmissions, which currently do not exist for patients treated with radical prostatectomy. We compared the causes, costs and predictors of index vs nonindex hospital readmissions after radical prostatectomy. MATERIALS AND METHODS: We identified patients with prostate cancer who underwent radical prostatectomy from 2010 to 2014 in the Nationwide Readmissions Database. Sociodemographic factors, hospital costs and causes of 90-day readmissions were compared between index and nonindex hospital readmissions. Multivariable regression models were used to determine whether nonindex readmissions were more costly than index readmission for several causes of readmission and also to identify predictors of nonindex readmissions. RESULTS: Of the 214,473 patients treated with radical prostatectomy 12,316 (5.7%) experienced a 90-day readmission and 4,283 (30.6%) had a nonindex readmission. Nonindex readmissions were more likely for complications which were cardiovascular specific (16.6% vs 10.3%) and nonradical prostatectomy specific (49.4% vs 32.8%, each p <0.01). On multivariable modeling readmission costs were significantly higher for nonindex vs index readmissions ($10,751 vs $10,113, p <0.01). Cardiovascular and electrolyte related nonindex readmissions ($12,995 vs $10,108, p <0.001, and $4,962 vs $3,179, p=0.01, respectively) were more expensive. Nonindex hospital readmission predictors included minimally invasive radical prostatectomy (OR 1.28, 95% CI 1.03-1.58), radical prostatectomy done at a high volume institution (OR 2.02, 95% CI 1.41-2.89) and residence in a more rural location (less than 50,000 population OR 1.68, 95% CI 1.21-2.35). CONCLUSIONS: In this nationally representative study nonindex hospital readmissions were associated with higher readmission costs, which were driven by differences in a small subset of readmissions. The benefits of undergoing radical prostatectomy at a high volume center should be carefully balanced with the increased odds of nonindex hospital readmissions and higher costs associated with such centers as regionalization continues.

Rapid Utilization of Telehealth in a Comprehensive Cancer Center as a Response to COVID-19: Cross-Sectional Analysis.

BACKGROUND: The emergence of the coronavirus disease (COVID-19) pandemic in March 2020 created unprecedented challenges in the provision of scheduled ambulatory cancer care. As a result, there has been a renewed focus on video-based telehealth consultations as a means to continue ambulatory care. OBJECTIVE: The aim of this study is to analyze the change in video visit volume at the University of California, San Francisco (UCSF) Comprehensive Cancer Center in response to COVID-19 and compare patient demographics and appointment data from January 1, 2020, and in the 11 weeks after the transition to video visits. METHODS: Patient demographics and appointment data (dates, visit types, and departments) were extracted from the electronic health record reporting database. Video visits were performed using a HIPAA (Health Insurance Portability and Accountability Act)-compliant video conferencing platform with a pre-existing workflow. RESULTS: In 17 departments and divisions at the UCSF Cancer Center, 2284 video visits were performed in the 11 weeks before COVID-19 changes were implemented (mean 208, SD 75 per week) and 12,946 video visits were performed in the 11-week post-COVID-19 period (mean 1177, SD 120 per week). The proportion of video visits increased from 7%-18% to 54%-72%, between the pre- and post-COVID-19 periods without any disparity based on race/ethnicity, primary language, or payor. CONCLUSIONS: In a remarkably brief period of time, we rapidly scaled the utilization of telehealth in response to COVID-19 and maintained access to complex oncologic care at a time of social distancing.

A Mobile Health Intervention for Prostate Biopsy Patients Reduces Appointment Cancellations: Cohort Study.

BACKGROUND: Inadequate patient education and preparation for office-based procedures often leads to delayed care, poor patient satisfaction, and increased costs to the health care system. We developed and deployed a mobile health (mHealth) reminder and education program for patients scheduled for transrectal prostate biopsy. OBJECTIVE: We aimed to evaluate the impact of an mHealth reminder and education program on appointment cancellation rates, communication frequency, and patient satisfaction. METHODS: We developed a text message (SMS, short message service)-based program with seven reminders containing links to Web-based content and surveys sent over an 18-day period (14 days before through 3 days after prostate biopsy). Messages contained educational content, reminders, and readiness questionnaires. Demographic information, appointment cancellations or change data, and patient/provider communication events were collected for 6 months before and after launching the intervention. Patient satisfaction was evaluated in the postintervention cohort. RESULTS: The preintervention (n=473) and postintervention (n=359) cohorts were composed of men of similar median age and racial/ethnic distribution living a similar distance from clinic. The postintervention cohort had significantly fewer canceled or rescheduled appointments (33.8% vs 21.2%, P<.001) and fewer same-day cancellations (3.8% vs 0.5%, P<.001). There was a significant increase in preprocedural telephone calls (0.6 vs 0.8 calls per patient, P=.02) in the postintervention cohort, but not a detectable change in postprocedural calls. The mean satisfaction with the program was 4.5 out of 5 (SD 0.9). CONCLUSIONS: An mHealth periprocedural outreach program significantly lowered appointment cancellation and rescheduling and was associated with high patient satisfaction scores with a slight increase in preprocedural telephone calls. This led to fewer underused procedure appointments and high patient satisfaction.

Beyond classic risk adjustment: Socioeconomic status and hospital performance in urologic oncology surgery.

BACKGROUND: Safety-net hospitals (SNHs) care for more patients of low socioeconomic status (SES) than non-SNHs and are disproportionately punished under SES-naive Medicare readmission risk-adjustment models. This study was designed to develop a risk-adjustment framework that incorporates SES and to assess the impact on readmission rates. METHODS: California Office of Statewide Health Planning and Development data from 2007 to 2011 were used to identify patients undergoing radical cystectomy (RC) for bladder cancer (n = 3771) or partial nephrectomy (PN; n = 5556) or radical nephrectomy (RN; n = 13,136) for kidney cancer. Unadjusted hospital rankings and predicted rankings under models simulating the Medicare Hospital Readmissions Reduction Program were compared with predicted rankings under models incorporating SES and hospital factors. SES, derived from a multifactorial neighborhood score, was calculated from US Census data. RESULTS: The 30-day readmission rate was 26.1% for RC, 8.3% for RN, and 9.5% for PN. The addition of SES, geographic, and hospital factors changed hospital rankings significantly in comparison with the base model (P < .01) except for SES for RC (P = .07) and SES and rural factors for PN (P = .12). For RN and PN, the addition of SES predicted lower percentile ranks for SNHs and thus improved observed-to-expected rankings (P < .01). For RC, there were no changes in hospital rankings. CONCLUSIONS: SES is important for risk adjustments for complex surgical procedures such as RC. Patient SES affects overall hospital rankings across cohorts, and critically, it differentially and punitively affects rankings for SNHs for some procedures. Cancer 2018. © 2018 American Cancer Society.

Designing for impact: identifying stakeholder-driven interventions to support recovery after major cancer surgery.

PURPOSE: Complex bladder and colorectal cancer surgeries are associated with significant patient morbidity, yet few resources exist to prepare patients for the high levels of distress and complications they may experience. After ethnographic research to identify design challenges, we held a user-centered design (UCD) workshop to begin to develop patient- and caregiver-centered interventions to support preparation for and recovery after complex cancer surgery. METHODS: Concepts that emerged from brainstorming sessions were visually represented on storyboards and rated. Highly scored concepts were further developed in break-out prototyping sessions and then presented to the entire group for review in person and during subsequent webinars. We collected workshop products (worksheets, prototypes, and recordings) for analysis to identify opportunities for intervention. The workshop, held in late 2014, was attended by three colorectal/oncologic surgeons, three urologic surgeons, five ostomy nurses, one quality improvement leader, three patients, one caregiver, and three experienced UCD facilitators. RESULTS: Three opportunity areas were identified: (1) enhanced patient education including tele-health and multi-media tools (available at hospitals/clinics or online in any setting), (2) personalized discharge assessment and care planning, and (3) integrated symptom monitoring and educational interventions. Stakeholders reached consensus that enhanced patient education was the most important direction for subsequent intervention development. CONCLUSIONS: We engaged diverse stakeholders in a participatory, UCD process and concluded that research and practice improvement should prioritize the development of educational interventions in the pre-operative period to set the groundwork for improving appropriate self-care during recovery from major colorectal and bladder cancer surgeries.

Using an abdominal phantom to teach urology residentes ultrasound-guided percutaneous needle placement.

INTRODUCTION: To assess the effect of a hands-on ultrasound training session to teach urologic trainees ultrasound-guided percutaneous needle placement. MATERIALS AND METHODS: University of California, San Francisco (UCSF) urology residentes completed a time trial, placing a needle into a phantom model target under ultrasound guidance. Participants were randomized into three educational exposure groups: Group 1's time trial occurred prior to any teaching intervention, group 2's after experiencing a hands-on training module, and group 3's after exposure to both the training module and one-on-one attending feedback. Needle placement speed and accuracy as well as trainees' perceived confidence in utilizing ultrasound were measured. RESULTS: The study cohort consisted of 15 resident trainees. Seven were randomized to group 1, three to group 2, and five to group 3. All residents reported minimal prior ultrasound experience. Their confidence in using ultrasound improved significantly after completing the training module with the most significant improvement seen among junior residents. Time to needle placement was fastest after receiving attending feedback (46.6sec in group 3 vs. 82.7sec in groups 1 and 2, p<0.01). Accuracy also improved with attending feedback, though the number of repositioning attempts did not differ significantly between groups. CONCLUSIONS: A hands-on training module and use of an abdominal phantom trainer increased resident confidence and skill in their use of ultrasound to guide percutaneous needle positioning. Attending feedback is critical for improving accuracy in needle guidance toward a target. Ultrasound-guided needle positioning is a teachable skill and can be applicable to multiple urologic procedures.

Out-of-pocket fertility patient expense: data from a multicenter prospective infertility cohort.

PURPOSE: The high costs of fertility care may deter couples from seeking care. Urologists often are asked about the costs of these treatments. To our knowledge previous studies have not addressed the direct out-of-pocket costs to couples. We characterized these expenses in patients seeking fertility care. MATERIALS AND METHODS: Couples were prospectively recruited from 8 community and academic reproductive endocrinology clinics. Each participating couple completed face-to-face or telephone interviews and cost diaries at study enrollment, and 4, 10 and 18 months of care. We determined overall out-of-pocket costs, in addition to relationships between out-of-pocket costs and treatment type, clinical outcomes and socioeconomic characteristics on multivariate linear regression analysis. RESULTS: A total of 332 couples completed cost diaries and had data available on treatment and outcomes. Average age was 36.8 and 35.6 years in men and women, respectively. Of this cohort 19% received noncycle based therapy, 4% used ovulation induction medication only, 22% underwent intrauterine insemination and 55% underwent in vitro fertilization. The median overall out-of-pocket expense was $5,338 (IQR 1,197-19,840). Couples using medication only had the lowest median out-of-pocket expenses at $912 while those using in vitro fertilization had the highest at $19,234. After multivariate adjustment the out-of-pocket expense was not significantly associated with successful pregnancy. On multivariate analysis couples treated with in vitro fertilization spent an average of $15,435 more than those treated with intrauterine insemination. Couples spent about $6,955 for each additional in vitro fertilization cycle. CONCLUSIONS: These data provide real-world estimates of out-of-pocket costs, which can be used to help couples plan for expenses that they may incur with treatment.

Association of household net worth with healthcare costs after radical cystectomy using real-world data.

BACKGROUND: Financial toxicity of bladder cancer care may influence how patients utilize healthcare resources, from emergency department (ED) encounters to office visits. We aim to examine whether greater household net worth (HHNW) confers differential access to healthcare resources after radical cystectomy (RC). METHODS: This population-based cohort study examined the association between HHNW and healthcare utilization costs in the 90 days post-RC in commercially insured patients with bladder cancer. Costs accrued from the index hospitalization to 90 days after including health plan costs (HPC) and out-of-pocket costs (OPC). Multivariable logistic regression models were generated by encounter (acute inpatient, ED, outpatient, and office visit). RESULTS: A total of 141,903 patients were identified with HHNW categories near evenly distributed. Acute inpatient encounters incurred the greatest HPC and OPC. Office visits conferred the lowest HPC while ED visits had the lowest OPC. Black patients harbored increased odds of an acute inpatient encounter (OR 1.22, 95% CI 1.16-1.29) and ED encounter (OR 1.20, 95% CI 1.14-1.27) while Asian (OR 0.76, 95% CI 0.69-0.85) and Hispanic (OR 0.74, 95% CI 0.69-0.78, p < 0.001) patients had lower odds of an outpatient encounter, compared to White counterpart. Increasing HHNW was associated with decreasing odds of acute inpatient or ED encounters and greater odds of office visits. CONCLUSIONS: Lower HHNW conferred greater risk of costly inpatient encounters while greater HHNW had greater odds of less costly office visits, illustrating how financial flexibility fosters differences in healthcare utilization and lower costs. HHNW may serve as a proxy for financial flexibility and risk of financial hardship than income alone.

Patient Engagement With and Perspectives on a Mobile Health Home Spirometry Intervention: Mixed Methods Study.

BACKGROUND: Patient engagement attrition in mobile health (mHealth) remote patient monitoring (RPM) programs decreases program benefits. Systemic disparities lead to inequities in RPM adoption and use. There is an urgent need to understand patients' experiences with RPM in the real world, especially for patients who have stopped using the programs, as addressing issues faced by patients can increase the value of mHealth for patients and subsequently decrease attrition. OBJECTIVE: This study sought to understand patient engagement and experiences in an RPM mHealth intervention in lung transplant recipients. METHODS: Between May 4, 2020, and November 1, 2022, a total of 601 lung transplant recipients were enrolled in an mHealth RPM intervention to monitor lung function. The predictors of patient engagement were evaluated using multivariable logistic and linear regression. Semistructured interviews were conducted with 6 of 39 patients who had engaged in the first month but stopped using the program, and common themes were identified. RESULTS: Patients who underwent transplant more than 1 year before enrollment in the program had 84% lower odds of engaging (odds ratio [OR] 0.16, 95% CI 0.07-0.35), 82% lower odds of submitting pulmonary function measurements (OR 0.18, 95% CI 0.09-0.33), and 78% lower odds of completing symptom checklists (OR 0.22, 95% CI 0.10-0.43). Patients whose primary language was not English had 78% lower odds of engaging compared to English speakers (OR 0.22, 95% CI 0.07-0.67). Interviews revealed 4 prominent themes: challenges with devices, communication breakdowns, a desire for more personal interactions and specific feedback with the care team about their results, understanding the purpose of the chat, and understanding how their data are used. CONCLUSIONS: Care delivery and patient experiences with RPM in lung transplant mHealth can be improved and made more equitable by tailoring outreach and enhancements toward non-English speakers and patients with a longer time between transplant and enrollment. Attention to designing programs to provide personalization through supplementary provider contact, education, and information transparency may decrease attrition rates.

Digital Health at Enterprise Scale: Evaluation Framework for Selecting Patient-Facing Software in a Digital-First Health System.

The digital transformation of our health care system will require not only digitization of existing tools but also a redesign of our care delivery system and collaboration with digital partners. Traditional patient journeys are reactive to symptom presentation and delayed by health care system-centric scheduling, leading to poor experience and avoidable adverse outcomes. Patient journeys will be reimagined to a digital health pathway that seamlessly integrates various care experiences from telemedicine, remote monitoring, to in-person clinic visits. Through centering the care delivery around the patients, they can have more delightful experiences and enjoy the quality of standardized condition pathways and outcomes. To design and implement digital health pathways at scale, enterprise health care systems need to develop capabilities and partnerships in human-centered design, operational workflow, clinical content management, communication channels and mechanisms, reporting and analytics, standards-based integration, security and data management, and scalability. Using a human-centered design methodology, care pathways will be built upon an understanding of the unmet needs of the patients to have a more enjoyable experience of care with improved clinical outcomes. To power this digital care pathway, enterprises will choose to build or partner for clinical content management to operationalize up-to-date, best-in-class pathways. With this clinical engine, this digital solution will engage with patients through multimodal communication modalities, including written, audio, photo, or video, throughout the patient journey. Leadership teams will review reporting and analytics functions to track that the digital care pathways will be iterated to improve patient experience, clinical metrics, and operational efficiency. On the backend, standards-based integration will allow this system to be built in conjunction with the electronic medical record and other data systems to provide safe and efficient use of the digital care solution. For protecting patient information and compliance, a security and data management strategy is critical to derisking breeches and preserving privacy. Finally, a framework of technical scalability will allow digital care pathways to proliferate throughout the enterprise and support the entire patient population. This framework empowers enterprise health care systems to avoid collecting a fragmented series of one-off solutions but develop a sustainable concerted roadmap to the future of proactive intelligent patient care.

Impact of an automated peri-procedural digital health intervention on rates of emergency department visits and readmissions.

BACKGROUND: Providing timely peri-procedural education, reminders, and check-ins can improve patient adherence and clinical outcomes. We sought to retrospectively evaluate the impact of a peri-procedural digital health tool on emergency department (ED) visits and readmissions. METHODS: A digital health tool for peri-procedural care engaged patients at scheduled intervals, resulting in an overall engagement score. Multivariate models determined predictors of tool engagement and post-procedural 30- and 90-day rehospitalizations and ED visits. RESULTS: 11,737 unique completed procedures were analyzed from 10,438 patients. Patients of Black and Latinx race/ethnicity (vs White), those with Medicare and Medicaid insurance (vs commercial), and those with non-activated patient portals (vs activated) were less likely to engage. After adjustment for confounders, higher engagement with the tool was associated with lower rates of 30-day hospitalizations (OR 0.64), 90-day hospitalizations (OR 0.65), and 90-day ED visits (OR 0.77). CONCLUSIONS: Highly engaged patients had fewer 30-day and 90-day ED visit and readmissions, even after adjustment for key confounders. Engagement, and thus the resulting benefits, were not equitably distributed.

A Digital Health Intervention to Improve the Clinical Care of Inflammatory Bowel Disease Patients.

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic condition that requires close monitoring. Digital health virtual care platforms can enable self-monitoring and allow providers to remotely surveil patients and efficiently identify those with active disease. OBJECTIVES: The primary aim was to design and implement an IBD remote monitoring program, identify predictors of patient engagement, and determine who found the chat to be a valuable tool. METHODS: We developed the IBD Virtual Care Chat, an electronic health record (EHR)-integrated chat to monitor electronic patient reported outcomes (ePROs), medication changes, and disease activity, and subsequently report concerning findings to providers via the EHR. All patients in the IBD practice over age 18 with a clinical encounter in the preceding 12 months were eligible to be enrolled. The primary aim was to identify predictors of patient engagement and determine who found the chat to be a valuable tool. RESULTS: Between May 2021 and March 2022, 2,934 patients were enrolled. A total of 1,160 engaged at least once and 687 (23.4%) continually engaged, submitting at least three ePROs. Disease severity (based on Harvey-Bradshaw Index or Simple Clinical Colitis Activity Index) did not impact ePRO submissions. Patients were significantly more likely to be continually engaged if they self-reported the presence of extraintestinal manifestations (7%, 95% confidence interval: 0.01-0.14; p = 0.04). Patient satisfaction remained moderately high with a median score of 8 (interquartile range: 5-10) on a scale of 1 (poor) to 10 (good). CONCLUSION: Our program demonstrates the potential for EHR-integrated digital health as part of routine IBD care to achieve sustained engagement with high patient satisfaction.