Artificial Intelligence and Radiologist Burnout

JAMA Network Open, Год журнала: 2024, Номер 7(11), С. e2448714 - e2448714

Опубликована: Ноя. 22, 2024

IMPORTANCE Understanding the association of artificial intelligence (AI) with physician burnout is crucial for fostering a collaborative interactive environment between physicians and AI. OBJECTIVE To estimate AI use in radiology radiologist burnout. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study conducted questionnaire survey May October 2023, using national quality control system China. Participants included radiologists from 1143 hospitals. Radiologists reporting regular or consistent were categorized as group. Statistical analysis was performed 2023 to 2024. EXPOSURE practice. MAIN OUTCOMES MEASURES Burnout defined by emotional exhaustion (EE) depersonalization according Maslach Inventory. Workload assessed based on working hours, number image interpretations, hospital level, device type, role workflow. acceptance determined via latent class considering AI-related knowledge, attitude, confidence, intention. Propensity score–based mixed-effect generalized linear logistic regression used associations its components. Interactions use, workload, additive multiplicative scales. RESULTS Among 6726 this study, 2376 (35.3%) female 4350 (64.7%) male; median (IQR) age 41 (34-48) years; 3017 group (1134 [37.6%] female; [IQR] age, 40 [33-47] years) 3709 non-AI (1242 [33.5%] 42 [34-49] years). The weighted prevalence significantly higher compared (40.9% vs 38.6%; P < .001). After adjusting covariates, associated increased odds (odds ratio [OR], 1.20; 95% CI, 1.10-1.30), primarily driven EE (OR, 1.21; 1.10-1.34). A dose-response observed frequency ( trend more pronounced among high workload lower acceptance. significant negative interaction noted use. CONCLUSIONS RELEVANCE In burnout, frequent an risk particularly those Further longitudinal studies are needed provide evidence.

Язык: Английский

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Physician and Medical Student Burnout, a Narrative Literature Review: Challenges, Strategies, and a Call to Action

Journal of Clinical Medicine, Год журнала: 2025, Номер 14(7), С. 2263 - 2263

Опубликована: Март 26, 2025

Background: Burnout is a state of emotional, physical, and mental exhaustion produced by excessive prolonged professional stress. Its prevalence unclear, figures from 2 to 81% have been reported, although studies focused on this issue are scarce inconsistent definitions the absence validated measurement tools make comparisons difficult. Methods: Our narrative review's purpose was explore physician medical student burnout across specialties in specific subgroups, including young doctors, researchers, female physicians. We also assess effects students patients possible strategies prevent reverse it. Results: affects students, patients. It impacts significantly physicians health can be trigger for depression, substance abuse, suicide attempts. Moreover, psychological physical increase risk systemic conditions such as cardiovascular disease. Physician increases errors, reduces efficacy, might compromise patients' safety. Strategies focusing mental, social, occupational well-being help treat burnout. These include resilience training, self-care, exercise, work-life balance, institutional changes, reducing administrative burdens improving electronic record systems. Medical students' triggered problems related their age, economic situation, exam stress workload, high academic expectations, lack support, others. Conclusions: common negatively affecting health, professional/academic patient outcomes. Addressing requires multifaceted approach, individual changes within institutions.

Язык: Английский

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A National Survey Evaluating Burnout and Wellness During Radiology Residency

Academic Radiology, Год журнала: 2024, Номер 31(8), С. 3448 - 3456

Опубликована: Март 19, 2024

Язык: Английский

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Best Practices: Burnout Is More Than Binary

American Journal of Roentgenology, Год журнала: 2024, Номер 223(4)

Опубликована: Июль 17, 2024

Burnout among radiologists is increasingly prevalent, with the potential for having a substantial negative impact on physician well-being, delivery of care, and health outcomes. To evaluate this phenomenon using reliable accurate means, validated quantitative instruments are essential. Variation in measurement can contribute to wide-ranging findings. This article evaluates radiologist burnout rates globally dimensions as reported different instruments; it also provides guidance best practices characterize burnout. Fifty-seven studies published between 1990 2023 were included systematic review, 43 meta-analysis prevalence random-effects models. The ranged from 5% 85%. With Maslach Inventory (MBI), varied significantly depending instrument version used. Among MBI subcategories, pooled emotional exhaustion was 54% (95% CI, 45-63%), depersonalization 52% 41-63%), low personal accomplishment 36% 27-47%). Other showed less heterogeneous results; Stanford Professional Fulfillment Index yielded 39% 34-45%), whereas single-item 34% 29-39%). Standardized assessing alongside multidimensional profiles capturing experiences may better burnout, including change occurring over time.

Язык: Английский

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Beyond the AJR: Reevaluating the Impact of Artificial Intelligence on Radiologist Burnout

American Journal of Roentgenology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

Язык: Английский

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Is It Time to Address Burnout in the Military? Initial Psychometric Validation of the Maslach Burnout Inventory Among Tunisian Military Personnel (A-MBI-MP)

Behavioral Sciences, Год журнала: 2025, Номер 15(3), С. 385 - 385

Опубликована: Март 19, 2025

The military’s high-pressure environment can lead to burnout syndrome, characterized by emotional fatigue, depersonalization, and decreased personal accomplishment. Validating a culturally appropriate tool for assessing among military personnel is crucial early detection intervention. This study assessed the psychometric properties of Arabic version Maslach Burnout Inventory (MBI) its validity Tunisian personnel. A validation was conducted 520 (mean age = 36 ± 9.3 years; male (n 486) female 34)), including commandos, pilots, divers. MBI-HSS administered, participants’ sociodemographic characteristics. exploratory (EFA) confirmatory (CFA) factor analyses were performed identify structure, with assessments internal consistency model. analysis confirmed three-factor model burnout: exhaustion, accomplishment consistent original MBI. A-MBI-MP demonstrated strong consistency, Cronbach’s alpha values exceeding 0.8 all subscales. test–retest reliability also excellent, confirming stability instrument. CFA validated structure A-MBI-MP. fit indices an acceptable fit: Comparative Fit Index (CFI) 0.949, Tucker–Lewis (TLI) 0.943, Root Mean Square Error Approximation (RMSEA) 0.0742 (95% CI: 0.068–0.0797). These results validate in context. (A-MBI-MP) valid reliable instrument be used offer treatments promote mental health high-stress situations.

Язык: Английский

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Radiology Under Pressure: The Challenge of Burnout in Residents and a Call for Action

Academic Radiology, Год журнала: 2024, Номер 31(7), С. 3068 - 3068

Опубликована: Май 31, 2024

Язык: Английский

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Collaborating with non-radiological clinical colleagues

Pediatric Radiology, Год журнала: 2024, Номер 55(3), С. 397 - 410

Опубликована: Авг. 22, 2024

Язык: Английский

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The relation between humor styles and nurse burnout: a cross-sectional study in China

Frontiers in Public Health, Год журнала: 2024, Номер 12

Опубликована: Ноя. 26, 2024

Nurse burnout is a prevalent issue in healthcare, impacting both nurses' well-being and patient care quality. This cross-sectional study examined the association between humor styles nurse burnout.

Язык: Английский

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Response to the Letter to the Editor: Radiology Under Pressure: The Challenge of Burnout in Residents and a Call for Action

Academic Radiology, Год журнала: 2024, Номер 31(7), С. 3069 - 3069

Опубликована: Май 22, 2024

Язык: Английский

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