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Article ; Online: B. T. M. (Terry) Willis (1927-2018).

Lander, Gerry / Carlile, Colin

Acta crystallographica. Section A, Foundations and advances

2018 Volume 74, Issue Pt 3, Page(s) 287–288

Language	English
Publishing date	2018-05-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	2020844-3
ISSN	2053-2733 ; 1600-5724 ; 0108-7673
ISSN (online)	2053-2733 ; 1600-5724
ISSN	0108-7673
DOI	10.1107/S2053273318004291
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Article: Asa E. Seeds, M.D. 1905--1978.

Carlile, T C

Journal of nuclear medicine : official publication, Society of Nuclear Medicine

1979 Volume 20, Issue 6, Page(s) 573–575

MeSH term(s)	History of Medicine ; Nuclear Medicine/history ; Radiology/history ; Societies, Medical/history
Language	English
Publishing date	1979-06
Publishing country	United States
Document type	Biography ; Historical Article ; Journal Article ; Portrait
ZDB-ID	80272-4
ISSN	1535-5667 ; 0161-5505 ; 0097-9058 ; 0022-3123
ISSN (online)	1535-5667
ISSN	0161-5505 ; 0097-9058 ; 0022-3123
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Zs.A 114: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (1.OG) ab Jg. 2022: Lesesaal (EG)
Zs.MO 328: Show issues

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Article ; Online: Feeling WELL: COVID-19 and the Adoption of Wellness Themes in Interior Design Curricula.

Stafford, Gloria E / Carlile Carter, Heather / Cole, Laura B / Loraas, Dawn M / Gulwadi, Gowri Betrabet

Journal of interior design

2023 Volume 48, Issue 2, Page(s) 119–138

Abstract: Interior design (ID) pedagogy should include theories and applications, which advance human health and wellness in the built environment. Design for wellness and well-being is referenced in 5 of the 13 Council for Interior Design Accreditation (CIDA) ... ...

Abstract	Interior design (ID) pedagogy should include theories and applications, which advance human health and wellness in the built environment. Design for wellness and well-being is referenced in 5 of the 13 Council for Interior Design Accreditation (CIDA) knowledge application standards. This focus on wellness was amplified during the coronavirus disease 2019 (COVID-19) pandemic experience, which elevated our collective understanding of contagions, disease transmission, sanitation practices, vaccination efficacy, and immunity, as well as the devastating turmoil-social, economic, and psychological-of the pandemic's tragic spread. Thus, the purpose of this study was to examine ID educators' attitudes, intentions, and behaviors related to teaching wellness and to determine if the pandemic impacted wellness pedagogy. For this mixed methods study, we employed an online survey (
Language	English
Publishing date	2023-05-24
Publishing country	United States
Document type	Journal Article
ZDB-ID	2460906-7
ISSN	1939-1668 ; 1071-7641
ISSN (online)	1939-1668
ISSN	1071-7641
DOI	10.1177/10717641231168593
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Article ; Online: Developing a Framework and Electronic Tool for Communicating Diagnostic Uncertainty in Primary Care: A Qualitative Study.

Khazen, Maram / Mirica, Maria / Carlile, Narath / Groisser, Alissa / Schiff, Gordon D

JAMA network open

2023 Volume 6, Issue 3, Page(s) e232218

Abstract: Importance: Communication of information has emerged as a critical component of diagnostic quality. Communication of diagnostic uncertainty represents a key but inadequately examined element of diagnosis.: Objective: To identify key elements ... ...

Abstract	Importance: Communication of information has emerged as a critical component of diagnostic quality. Communication of diagnostic uncertainty represents a key but inadequately examined element of diagnosis. Objective: To identify key elements facilitating understanding and managing diagnostic uncertainty, examine optimal ways to convey uncertainty to patients, and develop and test a novel tool to communicate diagnostic uncertainty in actual clinical encounters. Design, setting, and participants: A 5-stage qualitative study was performed between July 2018 and April 2020, at an academic primary care clinic in Boston, Massachusetts, with a convenience sample of 24 primary care physicians (PCPs), 40 patients, and 5 informatics and quality/safety experts. First, a literature review and panel discussion with PCPs were conducted and 4 clinical vignettes of typical diagnostic uncertainty scenarios were developed. Second, these scenarios were tested during think-aloud simulated encounters with expert PCPs to iteratively draft a patient leaflet and a clinician guide. Third, the leaflet content was evaluated with 3 patient focus groups. Fourth, additional feedback was obtained from PCPs and informatics experts to iteratively redesign the leaflet content and workflow. Fifth, the refined leaflet was integrated into an electronic health record voice-enabled dictation template that was tested by 2 PCPs during 15 patient encounters for new diagnostic problems. Data were thematically analyzed using qualitative analysis software. Main outcomes and measures: Perceptions and testing of content, feasibility, usability, and satisfaction with a prototype tool for communicating diagnostic uncertainty to patients. Results: Overall, 69 participants were interviewed. A clinician guide and a diagnostic uncertainty communication tool were developed based on the PCP interviews and patient feedback. The optimal tool requirements included 6 key domains: most likely diagnosis, follow-up plan, test limitations, expected improvement, contact information, and space for patient input. Patient feedback on the leaflet was iteratively incorporated into 4 successive versions, culminating in a successfully piloted prototype tool as an end-of-visit voice recognition dictation template with high levels of patient satisfaction for 15 patients with whom the tool was tested. Conclusions and relevance: In this qualitative study, a diagnostic uncertainty communication tool was successfully designed and implemented during clinical encounters. The tool demonstrated good workflow integration and patient satisfaction.
MeSH term(s)	Humans ; Uncertainty ; Qualitative Research ; Software ; Health Personnel ; Primary Health Care
Language	English
Publishing date	2023-03-01
Publishing country	United States
Document type	Review ; Journal Article ; Research Support, Non-U.S. Gov't
ISSN	2574-3805
ISSN (online)	2574-3805
DOI	10.1001/jamanetworkopen.2023.2218
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Article ; Online: Statistical Literacy in the Orthopaedic Trauma Population.

Carlile, Catherine R / Rees, Andrew / Boyce, Robert H / Mitchell, Phillip M

Journal of orthopaedic trauma

2021 Volume 36, Issue 9, Page(s) 427

Abstract: Objective: To evaluate the baseline level and demographic predictors of statistical literacy in orthopaedic patients who sustained traumatic injuries.: Design: Prospective observational.: Setting: Level 1 trauma center.: Patients: One hundred ... ...

Abstract	Objective: To evaluate the baseline level and demographic predictors of statistical literacy in orthopaedic patients who sustained traumatic injuries. Design: Prospective observational. Setting: Level 1 trauma center. Patients: One hundred ninety-eight patients presenting to the orthopaedic trauma clinic. Intervention: Berlin Numeracy Test (BNT) and General Health Numeracy Test-6 (GHNT-6). Results: When assessed using the BNT, 67% of patients had results that placed them into the lowest quartile of objective numeracy skills. Only 3.5% of patients had results that scored in the top quartile. Our multivariate ordinal regression model demonstrated lower education level ( P = 0.01), and older age ( P = 0.03) were significant predictors of poor performance on the BNT. The mean score on the GHNT-6 was 36% (SD 30%). Conclusions: In a cohort of traumatically injured patients, poor statistical literacy was common, occurring in more than two-thirds of patient surveyed. Older age and lower levels of education were predictive of poor BNT performance and should be considered when discussing surgical options, associated risks, and likelihood of potential complications.
MeSH term(s)	Cohort Studies ; Educational Status ; Health Literacy ; Humans ; Orthopedics ; Surveys and Questionnaires
Language	English
Publishing date	2021-12-30
Publishing country	United States
Document type	Journal Article ; Observational Study
ZDB-ID	639099-7
ISSN	1531-2291 ; 0890-5339
ISSN (online)	1531-2291
ISSN	0890-5339
DOI	10.1097/BOT.0000000000002365
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Zs.A 2234: Show issues

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Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Impact of global climate change on livestock health: Bangladesh perspective.

Ali, Md Zulfekar / Carlile, Gemma / Giasuddin, Mohammad

Open veterinary journal

2020 Volume 10, Issue 2, Page(s) 178–188

Abstract: The global carbon emission rate, due to energy-driven consumption of fossil fuels and anthropogenic activities, is higher at any point in mankind history, disrupting the global carbon cycle and contributing to a major cause of warming of the planet with ... ...

Abstract	The global carbon emission rate, due to energy-driven consumption of fossil fuels and anthropogenic activities, is higher at any point in mankind history, disrupting the global carbon cycle and contributing to a major cause of warming of the planet with air and ocean temperatures, which is rising dangerously over the past century. Climate change presents challenges both direct and indirect for livestock production and health. With more frequent extreme weather events including increased temperatures, livestock health is greatly affected by resulting heat stress, metabolic disorder, oxidative stress, and immune suppression, resulting in an increased propensity for disease incidence and death. The indirect health effects relate to the multiplication and distribution of parasites, reproduction, virulence, and transmission of infectious pathogens and/or their vectors. Managing the growing crossbreeding livestock industry in Bangladesh is also at the coalface for the emerging impacts of climate change, with unknown consequences for the incidence of emerging and re-emerging diseases. Bangladesh is now one of the most vulnerable nations to global climate change. The livestock sector is considered as a major part of food security for Bangladesh, alongside agriculture, and with one of the world's largest growing economies, the impacts are exaggerated with this disaster. There has been no direct study conducted on the impact of climate change on livestock health and the diseases in Bangladesh. This review looks to explore the linkage between climate change and livestock health and provide some guidelines to combat the impact on livestock from the Bangladesh perspective.
MeSH term(s)	Agriculture ; Animals ; Bangladesh ; Climate Change ; Communicable Diseases/economics ; Communicable Diseases/veterinary ; Disasters ; Economic Development ; Food Security ; Heat-Shock Response ; Livestock/physiology ; Oxidative Stress
Language	English
Publishing date	2020-05-14
Publishing country	Libya
Document type	Journal Article ; Research Support, Non-U.S. Gov't ; Review
ZDB-ID	2651664-0
ISSN	2218-6050 ; 2226-4485
ISSN (online)	2218-6050
ISSN	2226-4485
DOI	10.4314/ovj.v10i2.7
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Article ; Online: A novel modality for real-time measurement of provider happiness.

Carlile, Narath / Tantillo, Sarah / Brown, Michael / Bates, David W / Choudhry, Niteesh K

JAMIA open

2022 Volume 5, Issue 1, Page(s) ooac009

Abstract: Objective: Physician burnout is at epidemic proportions, impacts clinical outcomes, and is very costly. Although there is emerging data about effective interventions, most physicians at risk of burnout do not seek help. Survey-based measures exist which ...

Abstract	Objective: Physician burnout is at epidemic proportions, impacts clinical outcomes, and is very costly. Although there is emerging data about effective interventions, most physicians at risk of burnout do not seek help. Survey-based measures exist which can quantify burnout within populations, but these are usually only administered episodically. We hypothesized that a novel modality for real-time measurement of happiness and stressors would be acceptable, scalable, and could provide new actionable insights. Materials: We developed a novel informatics system consisting of a networked smart button device, server, and analytics for measuring happiness, and stressors in real-time during clinical work. We performed an observational cohort study in 3 primary care clinics. Random and fixed effects modeling was used to analyze predictors of stress and happiness and we conducted a survey of usability and user acceptance of the novel system. Results: We captured 455 recordings across 392 provider days from 14 primary care providers. In total, 85% of users found the device easy to use, and 87% would recommend the system to their colleagues. Happiness and stressors were observed in all working hours of the day, with a 22% reduction in feeling (the proportion of happiness to stressors) across a clinical day. Discussion: We tested a novel system which providers found easy to use and enabled collection of detailed data. Limitations included being an observational study within a small number of clinics. A simple, unintrusive, scalable informatics system capable of measuring happiness, and stressors in real-time could be useful to healthcare organizations and teams.
Language	English
Publishing date	2022-02-24
Publishing country	United States
Document type	Journal Article
ISSN	2574-2531
ISSN (online)	2574-2531
DOI	10.1093/jamiaopen/ooac009
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Article ; Online: Educational adaptation to clinical training during the COVID-19 pandemic: a process analysis.

Dzara, Kristina / Pusic, Martin / Carlile, Narath / Krupat, Edward / Alexander, Erik K

BMC medical education

2022 Volume 22, Issue 1, Page(s) 200

Abstract: Background: The COVID-19 pandemic is unprecedented in terms of the extent and rapidity of the disruption forced upon formal clinical education, most notably the extensive transition of clinical skills learning to interactive video-based clinical ... ...

Abstract	Background: The COVID-19 pandemic is unprecedented in terms of the extent and rapidity of the disruption forced upon formal clinical education, most notably the extensive transition of clinical skills learning to interactive video-based clinical education. Methods: In a phenomenologic study, we used thematic analysis to explore the COVID-19 disruption to clinical training and understand processes relating to adaptation in a large academic medical center. We conducted semi-structured interviews with 14 clinical teachers and 16 trainees representing all levels of clinical learning. Interviews occurred within the initial three months of the crisis, and data were analyzed following a thematic analysis coding process. Results: We constructed eight themes synthesizing our participants' perceptions of the immediate unanticipated disruption, noting in the process their alignment with a change management framework. These included: urgency in adapting, with an obvious imperative for change; overcoming inconsistent involvement and support through the formation of self-organized frontline coalitions; attempts to develop strategy and vision via initially reactive but eventually consistent communication; empowering a volunteer army through co-creation and a flattened hierarchy; and efforts to sustain improvement and positive momentum with celebration of trial, error, and growth. The majority of participants found positive outcomes resulting from the tumultuous change process. Moreover, they were now more readily accepting of change, and tolerant of the ambiguous and iterative nature inherent in the education change process. Many anticipated that some innovation would, or would at least deserve to, continue post- crisis. Conclusions: The COVID-19 pandemic afforded an opportunity to study the content and process of change during an active crisis. In this case of clinical education, our findings provide insight into the ways an academic medical system adapts to unanticipated circumstances. We found alignment with broader organizational change management models and that, compared with crisis management models (and their shorter term focus on resolving such crises), stakeholders self-organized in a reliable manner that carries the potential advantage of preserving such beneficial change.
MeSH term(s)	COVID-19/epidemiology ; Clinical Competence ; Educational Status ; Humans ; Learning ; Pandemics
Language	English
Publishing date	2022-03-23
Publishing country	England
Document type	Journal Article
ZDB-ID	2044473-4
ISSN	1472-6920 ; 1472-6920
ISSN (online)	1472-6920
ISSN	1472-6920
DOI	10.1186/s12909-022-03237-6
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Article ; Online: Chronic obstructive pulmonary disease and the modulation of CFTR by acute exposure to cigarette smoke.

Hanrahan, John W / Abu-Arish, Asmahan / Wong, Francis H / Turner, Mark J / Carlile, Graeme W / Thomas, David Y / Cantin, André M

American journal of physiology. Cell physiology

2022 Volume 323, Issue 5, Page(s) C1374–C1392

Abstract: Chronic obstructive pulmonary disease (COPD) is a leading cause of death and cigarette smoke is the main risk factor. Detecting its earliest stages and preventing a decline in lung function are key goals. The pathogenesis of COPD is complex but has some ... ...

Abstract	Chronic obstructive pulmonary disease (COPD) is a leading cause of death and cigarette smoke is the main risk factor. Detecting its earliest stages and preventing a decline in lung function are key goals. The pathogenesis of COPD is complex but has some similarities to cystic fibrosis (CF), a disease caused by mutations in the
MeSH term(s)	Humans ; Cystic Fibrosis Transmembrane Conductance Regulator/genetics ; Cigarette Smoking/adverse effects ; Pulmonary Disease, Chronic Obstructive/genetics ; Cystic Fibrosis/genetics ; Nicotiana ; Inflammation
Chemical Substances	Cystic Fibrosis Transmembrane Conductance Regulator (126880-72-6) ; CFTR protein, human
Language	English
Publishing date	2022-09-19
Publishing country	United States
Document type	Journal Article ; Review ; Research Support, Non-U.S. Gov't
ZDB-ID	392098-7
ISSN	1522-1563 ; 0363-6143
ISSN (online)	1522-1563
ISSN	0363-6143
DOI	10.1152/ajpcell.00356.2022
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Article ; Online: Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning Algorithm.

Wardi, Gabriel / Carlile, Morgan / Holder, Andre / Shashikumar, Supreeth / Hayden, Stephen R / Nemati, Shamim

Annals of emergency medicine

2021 Volume 77, Issue 4, Page(s) 395–406

Abstract: Study objective: Machine-learning algorithms allow improved prediction of sepsis syndromes in the emergency department (ED), using data from electronic medical records. Transfer learning, a new subfield of machine learning, allows generalizability of an ...

Abstract	Study objective: Machine-learning algorithms allow improved prediction of sepsis syndromes in the emergency department (ED), using data from electronic medical records. Transfer learning, a new subfield of machine learning, allows generalizability of an algorithm across clinical sites. We aim to validate the Artificial Intelligence Sepsis Expert for the prediction of delayed septic shock in a cohort of patients treated in the ED and demonstrate the feasibility of transfer learning to improve external validity at a second site. Methods: This was an observational cohort study using data from greater than 180,000 patients from 2 academic medical centers between 2014 and 2019, using multiple definitions of sepsis. The Artificial Intelligence Sepsis Expert algorithm was trained with 40 input variables at the development site to predict delayed septic shock (occurring greater than 4 hours after ED triage) at various prediction windows. We then validated the algorithm at a second site, using transfer learning to demonstrate generalizability of the algorithm. Results: We identified 9,354 patients with severe sepsis, of whom 723 developed septic shock at least 4 hours after triage. The Artificial Intelligence Sepsis Expert algorithm demonstrated excellent area under the receiver operating characteristic curve (>0.8) at 8 and 12 hours for the prediction of delayed septic shock. Transfer learning significantly improved the test characteristics of the Artificial Intelligence Sepsis Expert algorithm and yielded comparable performance at the validation site. Conclusion: The Artificial Intelligence Sepsis Expert algorithm accurately predicted the development of delayed septic shock. The use of transfer learning allowed significantly improved external validity and generalizability at a second site. Future prospective studies are indicated to evaluate the clinical utility of this model.
MeSH term(s)	Aged ; Artificial Intelligence ; Cohort Studies ; Emergency Service, Hospital ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Risk Factors ; Shock, Septic/diagnosis
Language	English
Publishing date	2021-01-15
Publishing country	United States
Document type	Journal Article ; Multicenter Study ; Observational Study ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S. ; Validation Study
ZDB-ID	603080-4
ISSN	1097-6760 ; 0196-0644
ISSN (online)	1097-6760
ISSN	0196-0644
DOI	10.1016/j.annemergmed.2020.11.007
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