James C. Benneyan

ORCID: 0000-0003-0070-9709
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About
Contact & Profiles
Research Areas
  • Advanced Statistical Process Monitoring
  • Healthcare Operations and Scheduling Optimization
  • Healthcare Policy and Management
  • Quality and Safety in Healthcare
  • Statistical Methods in Clinical Trials
  • Patient Safety and Medication Errors
  • Health Systems, Economic Evaluations, Quality of Life
  • Efficiency Analysis Using DEA
  • Advanced Statistical Methods and Models
  • Clinical Reasoning and Diagnostic Skills
  • Clinical Laboratory Practices and Quality Control
  • Risk and Safety Analysis
  • Healthcare cost, quality, practices
  • Scientific Measurement and Uncertainty Evaluation
  • Healthcare Systems and Technology
  • Biomedical and Engineering Education
  • Mental Health Research Topics
  • Medical Malpractice and Liability Issues
  • Electronic Health Records Systems
  • Radiology practices and education
  • Opioid Use Disorder Treatment
  • Complex Systems and Decision Making
  • Sustainable Supply Chain Management
  • COVID-19 and healthcare impacts
  • Health Policy Implementation Science

Northeastern University
2016-2025

Brigham and Women's Hospital
2025

Beth Israel Deaconess Medical Center
2025

Harvard University
2025

Eastern University
2015-2023

HCL Technologies (India)
2022

Columbia University
2018

Boston University
2017

Massachusetts General Hospital
2016

Universidad del Noreste
1999-2015

In some production processes and administrative processes, the occurrence of certain events is best described by a geometric distribution. Control charts are developed for total number average in fixed units. Computer simulation used to demonstrate consequences applying standard c-chart or u-chart when model appropriate. simulated example, construction control chart based upon distribution reduces false alarm rate from 9.6% 0.9%. conclusion, two examples illustrating applicability these presented.

10.1080/00224065.1992.12015229 article EN Journal of Quality Technology 1992-04-01

ACADEMIC EMERGENCY MEDICINE 2012; 19:1045–1054 © 2012 by the Society for Academic Emergency Medicine Abstract Objectives: The objectives were to evaluate three models that use information gathered during triage predict, in real time, number of emergency department (ED) patients who subsequently will be admitted a hospital inpatient unit (IU) and introduce new methodology implementing these predictions setting. Methods: Three simple methods compared predicting admission at ED triage: expert...

10.1111/j.1553-2712.2012.01435.x article EN Academic Emergency Medicine 2012-09-01

<h3>Importance</h3> Falls represent a leading cause of preventable injury in hospitals and frequently reported serious adverse event. Hospitalization is associated with an increased risk for falls injuries including hip fractures, subdural hematomas, or even death. Multifactorial strategies have been shown to reduce acute care hospitals, but evidence fall-related prevention lacking. <h3>Objective</h3> To assess whether fall-prevention tool kit that engages patients families the process...

10.1001/jamanetworkopen.2020.25889 article EN cc-by-nc-nd JAMA Network Open 2020-11-17

This is the second in a two-part series discussing and illustrating application of statistical process control (SPC) hospital epidemiology. The basic philosophical theoretical foundations quality their relation to epidemiology are emphasized order expand mutual understanding cross-fertilization between these two disciplines. Part I provided an overview philosophy general approach SPC, illustrated common types charts, references for further information or formulae. II now discusses alternate...

10.1017/s0195941700087397 article EN Infection Control and Hospital Epidemiology 1998-04-01

Originally developed at Bell Laboratories by Dr Walter Shewhart [1] in 1924 specifically to help detect statistical changes process quality, control charts have since become one of several primary tools quality and improvement. Quality are chronological graphs data that, although based theory, easy for practitioners use interpret. These also can users develop an understanding the performance a evaluate any benefits or consequences interventions, complementing traditional methods providing...

10.1093/intqhc/10.1.69 article EN International Journal for Quality in Health Care 1998-02-01

The accuracy of any screening instrument designed to detect psychopathology among children is ideally assessed through rigorous comparison 'gold standard' tests and interviews. Such comparisons typically yield estimates what we refer as 'standard indices diagnostic accuracy', including sensitivity, specificity, positive predictive value (PPV), negative value. However, whereas these statistics were originally binary signals (e.g., diagnosis present or absent), questionnaires commonly used in...

10.1111/jcpp.12442 article EN Journal of Child Psychology and Psychiatry 2015-06-19

Despite progress on patient safety since the publication of Institute Medicine's 1999 report, To Err Is Human, significant problems remain. Human factors and systems engineering (HF/SE) has been increasingly recognized advocated for its value in understanding, improving, redesigning processes safer care, especially complex interacting sociotechnical systems. However, broad awareness HF/SE adoption into improvement work have frustratingly slow. We provide an overview HF/SE, demonstrated to a...

10.1377/hlthaff.2018.0723 article EN Health Affairs 2018-11-01

We established a Patient Safety Learning Laboratory comprising 2 core and 3 individual project teams to introduce suite of digital health tools integrated with our electronic record identify, assess, mitigate threats patient safety in real time. One the employed systems engineering (SE) human factors (HF) methods analyze problems, design develop improvements intervention components, support implementation, evaluate system as an whole. Of 29 participants, 19 16 participated surveys focus...

10.1093/jamia/ocz002 article EN Journal of the American Medical Informatics Association 2019-01-11

Abstract Purpose The National Addictions Vigilance Intervention and Prevention Program (NAVIPPRO™) is a scientific, comprehensive risk management program for scheduled therapeutics. NAVIPPRO™ provides post‐marketing surveillance, signal detection, verification prevention intervention programs. Here we focus on one component of the Addiction Severity Index‐Multimedia Version® (ASI‐MV®) Connect, continuous, real‐time, national data stream that assesses pharmaceutical abuse by patients entering...

10.1002/pds.1659 article EN Pharmacoepidemiology and Drug Safety 2008-10-17

The objective was to test the generalizability, across a range of hospital sizes and demographics, previously developed method for predicting aggregating, in real time, probabilities that emergency department (ED) patients will be admitted inpatient unit. Logistic regression models were estimate admission each patient upon entering an ED. based on retrospective development (n = 4,000 5,000 ED visits) validation 1,000 2,000 data sets from four heterogeneous hospitals. Model performance...

10.1111/acem.12244 article EN Academic Emergency Medicine 2013-11-01

Abstract Background Preventable adverse events continue to be a threat hospitalized patients. Clinical decision support in the form of dashboards may improve compliance with evidence-based safety practices. However, limited research describes providers' experiences integrated into vendor electronic health record (EHR) systems. Objective This study was aimed describe use and perceived usability Patient Safety Dashboard discuss barriers facilitators implementation. Methods The implemented...

10.1055/s-0039-3402756 article EN Applied Clinical Informatics 2020-01-01

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.

10.1093/jamia/ocad250 article EN Journal of the American Medical Informatics Association 2024-01-02

Introduction Developing an optimized and user-friendly mHealth application for patients family members in the hospital environment presents unique challenges given diverse patient population patients' various states of well-being. Objective This article describes user-centered design methods results developing facing user interface functionality MySafeCare, a safety reporting tool hospitalized their members. Methods Individual group usability sessions were conducted with specific testing...

10.1055/s-0038-1645888 article EN Applied Clinical Informatics 2018-04-01

<h3>Importance</h3> Following up on recommendations from radiologic findings is important for patient care, but frequently there are failures to carry out these recommendations. The lack of reliable systems characterize and track completion actionable radiology report poses an safety challenge. <h3>Objectives</h3> To and, using this taxonomy, understand rates loop closure in a primary care setting. <h3>Design, Setting, Participants</h3> Radiology reports clinic at large academic center were...

10.1001/jamanetworkopen.2022.22549 article EN cc-by-nc-nd JAMA Network Open 2022-07-22
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