Brainstorming Our Way to Improved Quality, Safety, and Resident Wellness in a Resource-Limited Emergency Department

Ginocchio, Luke A.; Rogener, J.; Chung, Ryan; Xue, Xi; Tarnovsky, Dean; McMenamy, John

doi:10.1067/j.cpradiol.2020.03.005

Cited by 4 publications

(5 citation statements)

References 26 publications

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“…20 According to research, the radiographer RA role has contributed to a positive re-allocation of radiologist resources. 17,18,33 This perception was supported by our participants.…”

Section: "I Can Write a Chat I Can Call But It`s Not The Same As Havi...supporting

confidence: 77%

“…In this study, "referral assessment" is used as an umbrella term to include vetting, 16 justification and authorisation of imaging, 15 as well as the practice of assigning protocols to imaging referrals. 17,18 There has been a development in recent years, focusing on the enhancement and skills development of the radiographers' role within the radiology team. This has resulted in new and advanced radiographers' roles, 19 and platforms for creating solutions involving task-sharing between radiologists and radiographers.…”

Section: Introductionmentioning

confidence: 99%

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Radiographers normally function as "gatekeepers" in the justification process: in this case referring to their responsibility of informing the radiologist or referring clinician if referrals are suspected to be unjustified. 12 Studies additionally report radiographers to be efficient and accurate when assigning protocols for CT and MRI examinations, 17,18 which we regard as a part of the referral assessment task. Research has shown that postgraduate education and leading professional roles are associated with higher radiographer performance in referral assessment.

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confidence: 99%

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Workplace factors facilitating the radiographers’ assessment of referrals for diagnostic imaging - A qualitative study

2022

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“…20 According to research, the radiographer RA role has contributed to a positive re-allocation of radiologist resources. 17,18,33 This perception was supported by our participants.…”

Section: "I Can Write a Chat I Can Call But It`s Not The Same As Havi...supporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

“…

…”

mentioning

confidence: 99%

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Workplace factors facilitating the radiographers’ assessment of referrals for diagnostic imaging - A qualitative study

2022

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“…In addition, such a tool may provide radiologists with increased uninterrupted time. Recent work supports this hypothesis [40], whereby a simple AP intervention providing a standardized CT protocoling system for emergency exams can improve the radiology workflow by reduc- ing the lag time between ordering and protocoling, and improving time to the final report. Moreover, that work demonstrated improvements in radiology residents' work satisfaction and wellness when such tools are utilized.…”

Section: Discussionmentioning

confidence: 90%

Deep-learning based Tools for Automated Protocol Definition of Advanced Diagnostic Imaging Exams

Nencka¹,

Sherafati²,

Goebel³

et al. 2021

Preprint

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This study evaluates the effectiveness and impact of automated order-based protocol assignment for magnetic resonance imaging (MRI) exams using natural language processing (NLP) and deep learning (DL).Methods: NLP tools were applied to retrospectively process orders from over 116,000 MRI exams with 200 unique sub-specialized protocols ("Local" protocol class). Separate DL models were trained on 70% of the processed data for "Local" protocols as well as 93 American College of Radiology ("ACR") protocols and 48 "General" protocols. The DL Models were assessed in an "autoprotocoling (AP)" inference mode which returns the top recommendation and in a "clinical decision support (CDS)" inference mode which returns up to 10 protocols for radiologist review. The accuracy of each protocol recommendation was computed and analyzed based on the difference between the normalized output score of the corresponding neural net for the top two recommendations.Results: The top predicted protocol in AP mode was correct for 82.8%, 73.8%, and 69.3% of the test cases for "General", "ACR", and "Local" protocol classes, respectively. Higher levels of accuracy over 96% were obtained for all protocol classes in CDS mode. However, at current validation performance levels, the proposed models offer modest, positive, financial impact on large-scale imaging networks.Conclusions: DL-based protocol automation is feasible and can be tuned to route substantial fractions of exams for auto-protocoling, with higher accuracy with more general protocols. Economic analyses of the tested algorithms indicate that improved algorithm performance is required to yield a practical exam auto-protocoling tool for sub-specialized imaging exams.

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“…The process usually starts with a problem statement or a specific goal, and then the group generates as many ideas as possible, building on each other's suggestions. The ideas are not evaluated or analyzed during the brainstorming session; instead, the focus is on the quantity of ideas generated (GINOCCHIO et al, 2022).…”

Section: Brainstormingmentioning

confidence: 99%

Applying the Seven Basic Quality Tools to Solve a Quality Issue in the Manufacturing of Electronic Switches

Filho¹,

Gonçalves²,

Rodrigues³

et al. 2023

JER

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The manufacturing process of electronic switches involves a complex set of operations that can give rise to various quality issues. In this paper, we present a case study in which a small advisory & consulting company applies the seven basic quality tools to solve a quality issue in the manufacturing of electronic switches. The case study demonstrates how the cause-andeffect diagram, check sheet, control chart, histogram, Pareto chart, scatter diagram, and stratification can be used to identify, analyze, and solve quality issues. The paper provides a detailed description of the materials and methods used in the case study, as well as the results and discussions of the application of the seven basic quality tools. The case study shows that the tools were effective in identifying the root cause of the quality issue, analyzing the data, and suggesting solutions to improve the manufacturing process of electronic switches. The paper concludes that the seven basic quality tools are essential for any organization that seeks to improve its quality management processes and maintain a competitive edge in the market.

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Brainstorming Our Way to Improved Quality, Safety, and Resident Wellness in a Resource-Limited Emergency Department

Cited by 4 publications

References 26 publications

Workplace factors facilitating the radiographers’ assessment of referrals for diagnostic imaging - A qualitative study

Workplace factors facilitating the radiographers’ assessment of referrals for diagnostic imaging - A qualitative study

Deep-learning based Tools for Automated Protocol Definition of Advanced Diagnostic Imaging Exams

Applying the Seven Basic Quality Tools to Solve a Quality Issue in the Manufacturing of Electronic Switches

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