
James Benneyan
· ProfessorVerifiedNortheastern University · Engineering Management and Systems Engineering
Active 1992–2026
About
James Benneyan is a Professor of Mechanical and Industrial Engineering at Northeastern University, where he also serves as the Director of the Healthcare Systems Engineering Institute. His research focuses on healthcare systems engineering, operations research, quality and reliability engineering, statistical quality control, high reliability design, and patient safety. He has contributed to the development and validation of analytic spatial-temporal models to study and mitigate health crises such as the national opioid-heroin co-epidemic. Benneyan's work aims to improve healthcare efficiency, quality, logistics, safety, flow, effectiveness, and access through education, research, and application of systems engineering methods. He leads initiatives within Northeastern University's Healthcare Systems Engineering program, which includes undergraduate and graduate academic programs, experiential co-op education, summer internships, federally-funded healthcare industrial engineering centers, and strategic partnerships with industry. His research has significantly impacted healthcare improvement by leveraging deep industry-university collaborations to advance workforce development and healthcare system resilience.
Research topics
- Medicine
- Computer Science
- Nursing
- Sociology
- Information Retrieval
- Medical emergency
- Medical physics
- Physical therapy
- Mathematics
- Family medicine
- Demography
- Emergency medicine
- Statistics
- Data science
- Environmental health
Selected publications
Journal for Healthcare Quality · 2026-01-01
articleBACKGROUND: Rectal bleeding is a common concern among primary care patients and a risk marker for colorectal cancer. Yet, primary care patients who present with rectal bleeding frequently do not complete timely colonoscopies. We sought to determine if a phone-based, scheduling intervention for patients presenting with rectal bleeding in primary care would improve the rate of scheduling and completion of ordered colonoscopies. METHODS: We conducted a nonrandomized pre-post intervention study at an urban, academic, hospital-based primary care clinic. We included patients with a colonoscopy order for rectal bleeding who had not scheduled a colonoscopy within 2 weeks of the order date. We created a baseline cohort from August to October 2022 and an intervention cohort from November 2022 to June 2023. The pilot intervention involved up-to-3 outreach phone calls by a primary care-based phone service representative to study participants. RESULTS: Compared to the baseline cohort, patients in the intervention cohort had a significantly higher rate of colonoscopy completion at 365 days ( p = .04). Higher rates in loop closure were seen across demographic cohorts. DISCUSSION: Proactive, primary care-based, outreach phone calls increased rates of completion of colonoscopies ordered for rectal bleeding.
Patient Perspectives on Delayed Specialty Follow-Up After a Primary Care Visit
The Journal of the American Board of Family Medicine · 2025-01-01 · 5 citations
articleOpen accessBACKGROUND: Patients are often referred for important diagnostic tests or consultations after a concerning symptom or finding is identified at a primary care visit, but many referrals are delayed or not completed. METHODS: In this qualitative study, we reviewed electronic health record data to identify patients who did not have timely completion of a recommended referral at an academic primary care hospital-based practice and an affiliated community health center. Using semistructured interview guides, we interviewed 15 patients who did not complete a cardiac stress test within 28 days of a primary care visit associated with a diagnosis of chest pain, and 15 patients who did not complete a dermatology referral within 90 days of identification of a concerning skin lesion. RESULTS: Thematic analysis highlighted 3 areas: 1) Patients desired clear communication to inform, equip and empower them, 2) Clinician-patient communication regarding a referral's rationale and value is key, and 3) Referral appointment processes were often challenging and/or delayed. Patients wished to understand why they were being referred, the specific value and reason for the referral, and what to expect. We developed a conceptual model describing how the initial clinician-patient communication may influence referral completion. CONCLUSIONS: Failure to close diagnostic loops may be more likely when a patient is not given sufficient meaningful information, particularly if there is health system "friction" that reduces the patient's ability and ease to obtain a timely diagnostic referral appointment. Clinicians should use accessible language to communicate why a diagnostic referral is useful and important for the patient's health, and include a specific optimal time frame. The initial communication and the ease of the subsequent appointment booking both matter, and may compound or mitigate each other's effect. To reduce diagnostic referral failures and delays. clinicians should advocate for consistent appointment booking processes that systematically inform, equip, and empower patients with clear and meaningful referral information and timely appointments.
Development and Usability of Tools to Improve Hospital Resiliency to Capacity Surges
AHFE international · 2025-01-01
article1st authorCorrespondingHospital capacity surges significantly affect nearly all hospitals under both routine and severe conditions ranging from seasonal flu, unpredictable admission spikes, local emergencies, and epidemics such as Covid. The inability to resiliently anticipate and adapt to these events can seriously strain bed, staff, and equipment availability, with significant associated impacts on patient care. We describe ongoing work to iteratively develop and improve usable analytic tools to help hospitals better and more resiliently predict and manage capacity surges. These models accurately project future day-to-day unit-specific room, equipment, and staff demand and shortfalls, self-tuning to any given hospital and surge pattern on a rolling basis, with re-sults displayed in intuitive and actionable manners. A key motivation is that such models, if well-designed for end-users, can help hospitals pre-emptively anticipate, prepare, and adapt appropriately locally, a fundamental concept of resiliency engineering. Participatory design, human factors, and usability analysis thus were used throughout this work to continuously improve the model’s features, interface, accuracy, and utility. Resulting functionality, model logic, and interface improvements are described, including 12%-62% improvements in all usability scores (ease of use, cognitive effort, layout navigation, time to complete, results interpretability) and 61%-95% improvements in accuracy.
The American Journal of Medicine · 2024-09-04 · 3 citations
articleShewhart-EWMA chart for monitoring binomial data subject to shifts of random amounts
Computers & Industrial Engineering · 2024-05-24 · 5 citations
articleSenior authorJournal of the American Medical Informatics Association · 2024-01-02 · 11 citations
articleOpen accessOBJECTIVES: The 2021 US Cures Act may engage patients to help reduce diagnostic errors/delays. We examined the relationship between patient portal registration with/without note reading and test/referral completion in primary care. MATERIALS AND METHODS: Retrospective cohort study of patients with visits from January 1, 2018 to December 31, 2021, and order for (1) colonoscopy, (2) dermatology referral for concerning lesions, or (3) cardiac stress test at 2 academic primary care clinics. We examined differences in timely completion ("loop closure") of tests/referrals for (1) patients who used the portal and read ≥1 note (Portal + Notes); (2) those with a portal account but who did not read notes (Portal Account Only); and (3) those who did not register for the portal (No Portal). We estimated the predictive probability of loop closure in each group after adjusting for socio-demographic and clinical factors using multivariable logistic regression. RESULTS: Among 12 849 tests/referrals, loop closure was more common among Portal+Note-readers compared to their counterparts for all tests/referrals (54.2% No Portal, 57.4% Portal Account Only, 61.6% Portal+Notes, P < .001). In adjusted analysis, compared to the No Portal group, the odds of loop closure were significantly higher for Portal Account Only (OR 1.2; 95% CI, 1.1-1.4), and Portal+Notes (OR 1.4; 95% CI, 1.3-1.6) groups. Beyond portal registration, note reading was independently associated with loop closure (P = .002). DISCUSSION AND CONCLUSION: Compared to no portal registration, the odds of loop closure were 20% higher in tests/referrals for patients with a portal account, and 40% higher in tests/referrals for note readers, after controlling for sociodemographic and clinical factors. However, important safety gaps from unclosed loops remain, requiring additional engagement strategies.
SSRN Electronic Journal · 2024-01-01
preprintOpen accessThe Joint Commission Journal on Quality and Patient Safety · 2023-10-24 · 4 citations
articleAlternate Safety Methods to Root Cause Analysis for Learning from Healthcare Adverse Events
SSRN Electronic Journal · 2023-01-01
articleOpen accessCompletion Rates and Timeliness of Diagnostic Colonoscopies for Rectal Bleeding in Primary Care
Journal of General Internal Medicine · 2023-11-08 · 5 citations
articleOpen access
Recent grants
Center for Healthcare Organization Transformation
NSF · $252k · 2010–2017
NSF · $257k · 2017–2020
Drug Safety Risk-Benefit Models
NSF · $362k · 2009–2012
Monitoring, Control, and Adjustment of Non-Homogeneous Healthcare and Patient Data
NSF · $325k · 2003–2007
Frequent coauthors
- 26 shared
David W. Bates
Brigham and Women's Hospital
- 25 shared
Gordon D. Schiff
Harvard University
- 24 shared
Jordan Peck
Beth Israel Deaconess Medical Center
- 22 shared
Deborah Nightingale
- 21 shared
Iulian Ilieş
Northeastern University
- 19 shared
Stephan A. Gaehde
VA Boston Healthcare System
- 16 shared
Russell S. Phillips
- 15 shared
Arthur W. Baker
Duke University
Labs
Healthcare Systems Engineering InstitutePI
Awards & honors
- Impact Award (2023), College of Engineering, Northeastern Un…
- Outstanding Research Award (2011), College of Engineering, N…
- Outstanding Teaching Award (2008), College of Engineering, N…
- Teaching Excellence Award (2003), Alpha Pi Mu Honor Society
- President’s Aspiration Service Award (2001), Northeastern Un…
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