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Claros, Ana Gabriela

Mayo Clinic

Mayo Clinic in Florida

Citations 3

Humanizing care in the ICU: how system pressures shape interacting patterns of hurry, blur, burden, and cruelty
Zahidy, Misk Al, Claros, Ana Gabriela, Mulanovich, Katerina, Lizarazo, Maria Jose , Chavez, Maria Mateo, Ahmed, Ahmed Sayed, Dong, Yue, Gajic, Ognjen, Ahmad, Sumera, Al Zahidy, Misk, Gionfriddo, Michael R. , Mateo Chavez, Maria, Sayed Ahmed, Ahmed , Mahmoud, Mohamed A., Chavez, Maria Mateo , Gajic, Ognjen , Montori, Víctor M.

Frontiers in Health Services | August 11, 2026 | Volume: 6 | Issue: No issue available | Pages: No page available

10.3389/frhs.2026.1867800 Get It

Background Intensive care units are high-acuity environments characterized by time pressure, medical complexity, and organizational demands. These conditions may influence clinicians’ ability to provide patient-centered care and contribute to forms of care perceived as fragmented or dehumanizing. Objective To examine how ICU clinicians describe and make sense of the pressures shaping everyday critical care practice, and how these pressures give rise to interacting patterns of care, including those described as hurry, blur, burden, and cruelty. Methods We conducted a qualitative study using focus groups with ICU clinicians from a large academic health system. Discussions were informed by the concept of the pathologies of care as sensitizing concepts. Four focus groups were held with physicians, nurses, advanced practice nurses, and a social worker ( N = 14). Transcripts were analyzed using directed content analysis with both deductive and inductive coding. Results Clinicians described these patterns not as discrete phenomena but as interrelated, context-dependent processes shaped by shared operational pressures such as time constraints, workload, and information demands. These dynamics were often viewed as inherent to the structure and culture of ICU care and were described as co-occurring and compounding. Communication emerged as both a contributor to and a potential mechanism for mitigation, alongside system-level strategies such as reducing documentation burden and leveraging artificial intelligence to support care delivery. Conclusions Patterns reflected in hurry, blur, burden, and cruelty are best understood as emergent properties of complex care systems. Addressing these dynamics may require system-level approaches to improve communication, reduce workload pressures, and support more patient-centered, humanizing care.
Artificial intelligence-enabled analysis of radiology reports: epidemiology and outcomes of incidental thyroid findings
Larios, Felipe , Borras-Osorio, Mariana, Wu, Yuqi, Claros, Ana Gabriela, Toro-Tobon, David, Cabezas, Esteban , Loor-Torres, Ricardo, Chavez, Maria Mateo , Maldonado, Kerly Guevara, Andrango, Luis Vilatuna, Jiménez, María Camila , Alzamora, Ivan Mateo , Zahidy, Misk Al, Montero, Marcelo, Proano, Ana Cristina , Jacome, Cristian Soto , Ponce-Ponte, Oscar J, Larios, Felipe , Mateo Chavez, Maria, Guevara Maldonado, Kerly, Vilatuna Andrango, Luis, Lizarazo Jimenez, Maria, Al Zahidy, Misk, Fan, Jungwei W, Branda, Megan E. , Singh Ospina, Naykky , Brito, Juan P , Mateo Chavez, Maria B , Borras-Osorio, Mariana , Claros, Ana Gabriela , Toro-Tobón, David , Loor-Torres, Ricardo , Guevara, Kerly , Fan, Jungwei , Ponte, Oscar Ponce, Ospina, Naykky Singh , Brito, Juan P.

The Journal of Clinical Endocrinology & Metabolism | April 23, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1210/clinem/dgag186 Get It

Abstract Context Incidental thyroid findings (ITFs) are increasingly detected on imaging performed for non-thyroid indications. Their prevalence, features, and consequences remain undefined. Objective To develop, validate, and deploy a natural language processing (NLP) pipeline to identify ITFs in radiology reports and assess their prevalence, features, and clinical outcomes. Design Retrospective cohort study. Setting Mayo Clinic sites (Rochester, Arizona, Florida, Mayo Clinic Health System). Participants Adults without prior thyroid disease undergoing thyroid-capturing imaging from July 1, 2017, to September 30, 2023. A transformer-based NLP pipeline identified ITFs and extracted nodule characteristics from image reports from multiple modalities and body regions. Outcomes ITF prevalence, downstream thyroid ultrasound, biopsy, thyroidectomy, and cancer diagnosis. Logistic regression identified demographic and imaging-related factors. Results Among 115 683 patients (mean age, 56.8 [SD 17.2]; 52.9% women), 9077 (7.8%) had an ITF (92.9% nodular). ITFs were more likely in women, older adults, higher BMI, and in imaging ordered by specialties different from Emergency Medicine. Compared with chest CT, ITFs were more likely via neck CT, PET, and nuclear medicine scans. Nodule characteristics were poorly documented, with size reported in 44% and other features in fewer than 15%. Compared with patients without ITFs, those with ITFs had higher odds of thyroid nodule diagnosis (OR 45, 95%CI 41.1-49.3), biopsy (OR 46.8, 95%CI 39.0-56.2) thyroidectomy (OR 55.8, 95%CI 31.3-99.3), and thyroid cancer diagnosis (OR 61.7, 95%CI 38.6-98.5). Most cancers were papillary (88.5%) and larger when detected after ITFs (2 cm SD 1.4) vs no ITF (1.3 cm SD 0.8). Conclusion ITFs were common and strongly associated with cascades leading to the detection of small, low-risk cancers, highlighting their role in overdiagnosis and the need for standardized reporting and more selective follow-up.
Factors and Outcomes of Inappropriate Thyroid Ultrasonography
Larios, Felipe , Jacome, Cristian Soto , Ponce-Ponte, Oscar J., Maldonado, Kerly Guevara, Andrango, Luis Vilatuna, Proano, Ana Cristina , Loor-Torres, Ricardo , Zahidy, Misk Al, Claros, Ana Gabriela, Mulanovich, Katerina, Cabezas, Esteban , Wu, Yuqi , Bischoff, Lindsay , Ospina, Naykky Singh , Ospina, Naykky Singh , Larios, Felipe , Guevara, Kerly , Fan, Jungwei W, Al Zahidy, Misk, Branda, Megan E. , Singh Ospina, Naykky , Claros, Ana Gabriela , Toro-Tobón, David , Fan, Jungwei , Brito, Juan P.

JAMA Otolaryngology–Head & Neck Surgery | August 7, 2025 | Volume: 151 | Issue: 9 | Pages: 843

10.1001/jamaoto.2025.2049 Get It

ImportanceThyroid cancer incidence has tripled in the past 3 decades, largely driven by increased detection of small, indolent papillary thyroid cancers. Overuse of thyroid ultrasonography (TUS) contributes to overdiagnosis, leading to unnecessary biopsies, procedures, and potential patient harm.ObjectiveTo evaluate the frequency of and factors associated with inappropriate TUS (iTUS) orders and assess related clinical outcomes.Design, Setting, and ParticipantsThis retrospective cohort study analyzed adult patients 18 years and older who underwent their first TUS from January 1, 2017, to December 30, 2021, at 4 Mayo Clinic sites. Patients with previous thyroid nodule, thyroid cancer, thyroid surgery, or TUS were excluded. Based on documented clinical indications, a validated natural language processing model classified TUS orders as appropriate or inappropriate. Data were analyzed from April 2024 to May 2025.ExposuresBaseline characteristics of patients, clinicians, and clinical encounters investigated for their association with an iTUS order.Main Outcomes and MeasuresThe primary outcome was the proportion of iTUS orders. Secondary outcomes included factors associated with iTUS (sociodemographic, clinical, order-specific, and clinician-related factors) and clinical outcomes following iTUS, including the detection of thyroid nodules, thyroid procedures, and thyroid cancer diagnoses.ResultsOf 11 442 included patients, 8422 (73.6%) were female, and the mean (SD) age was 57.3 (15.8) years with a mean (SD) body mass index (calculated as weight in kilograms divided by height in meters squared) of 29.7 (7.0). Among 11 442 TUS orders, 866 (7.6%) were classified as inappropriate. In multivariable analysis, younger age (age of 18 to 54 years vs older than 65 years; odds ratio [OR], 1.86; 95% CI, 1.56-2.22), hyperthyroidism (OR, 9.04; 95% CI, 6.75-12.11), ordering by nonendocrinology specialties (eg, oncology/hematology; OR, 3.43; 95% CI, 2.47-4.76), and orders not linked to an in-person appointment (eg, portal messages; OR, 2.42; 95% CI, 2.08-2.82) were strongly associated with increased odds of iTUS. Compared with appropriate TUS, iTUS led to lower rates of thyroid nodule detection (202 of 866 [23.3%] vs 6885 of 10 576 [65.1%]; OR, 0.16; 95% CI, 0.14-0.19), biopsies (89 [10.3%] vs 2647 [25.0%]; OR, 0.34; 95% CI, 0.27-0.43), partial thyroidectomies (14 [1.6%] vs 424 [4.0%]; OR, 0.39; 95% CI, 0.23-0.67), and confirmed thyroid cancer cases (16 [1.8%] vs 425 [4.0%]; OR, 0.45; 95% CI, 0.27-0.74).Conclusions and RelevanceIn this cohort study, approximately 1 in 13 TUS orders were inappropriate. iTUS was more common in younger patients, those with thyroid dysfunction, those not seen in person, and in those referred by nonendocrinology specialties. These findings highlight the need for targeted strategies to optimize TUS use and mitigate overdiagnosis and overtreatment.