Error Prevention and Quality Assurance in Biomedical Engineering

Articles published in this theme: 8 (scroll down to load remaining articles)

2024

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Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic Review

Aditya U Kale, Henry David Jeffry Hogg, Russell Pearson, Ben Glocker, Su Golder, April Coombe, Justin Waring, Xiaoxuan Liu, David J Moore, Alastair K Denniston

JMIR Res Protoc 2024 (Jun 28); 13:e51614

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2021

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Perceptual Gaps Between Clinicians and Technologists on Health Information Technology-Related Errors in Hospitals: Observational Study

Theophile Ndabu, Pavankumar Mulgund, Raj Sharman, Ranjit Singh

JMIR Hum Factors 2021 (Feb 05); 8(1):e21884

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2020

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Twelve-Month Review of Infusion Pump Near-Miss Medication and Dose Selection Errors and User-Initiated “Good Save” Corrections: Retrospective Study

James Waterson, Rania Al-Jaber, Tarek Kassab, Abdulrazaq S Al-Jazairi

JMIR Hum Factors 2020 (Aug 11); 7(3):e20364

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Detecting Potential Medication Selection Errors During Outpatient Pharmacy Processing of Electronic Prescriptions With the RxNorm Application Programming Interface: Retrospective Observational Cohort Study

Corey A Lester, Liyun Tu, Yuting Ding, Allen J Flynn

JMIR Med Inform 2020 (Mar 11); 8(3):e16073

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2019

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Transcription Errors of Blood Glucose Values and Insulin Errors in an Intensive Care Unit: Secondary Data Analysis Toward Electronic Medical Record-Glucometer Interoperability

Azizeh Khaled Sowan, Ana Vera, Ashwin Malshe, Charles Reed

JMIR Med Inform 2019 (Mar 25); 7(1):e11873

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2018

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Usability Testing of a Mobile App to Report Medication Errors Anonymously: Mixed-Methods Approach

Doris George, Mohamed Azmi Hassali, Amar-Singh HSS

JMIR Hum Factors 2018 (Dec 21); 5(4):e12232

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Reducing Misses and Near Misses Related to Multitasking on the Electronic Health Record: Observational Study and Qualitative Analysis

Neda Ratanawongsa, George Y Matta, Fuad B Bohsali, Margaret S Chisolm

JMIR Hum Factors 2018 (Feb 06); 5(1):e4

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2017

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A Technological Innovation to Reduce Prescribing Errors Based on Implementation Intentions: The Acceptability and Feasibility of MyPrescribe

Chris Keyworth, Jo Hart, Hong Thoong, Jane Ferguson, Mary Tully

JMIR Hum Factors 2017 (Aug 01); 4(3):e17

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