281 results match your criteria: "Yale School of Management.[Affiliation]"

Increasing patient viewership of complex imaging reports: The paradox of the Cures Act.

Clin Imaging

December 2024

Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA; Yale School of Management, New Haven, CT, USA; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA. Electronic address:

Background: As a result of the 21st Century Cures Act, radiology reports are immediately released to patients. We determine if readers of radiology reports, via electronic health records (EHRs), and radiology report complexity have changed post the implementation of the 21st Century Cures Act.

Methods: A retrospective observational study was used to analyze 10,000 radiology reports (equal split of CT, mammogram, MRI, X-ray, and ultrasound modalities) per year between 2013 and 2023.

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Release of complex imaging reports to patients, do radiologists trust AI to help?

Curr Probl Diagn Radiol

December 2024

Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA; Yale School of Management, New Haven, CT, USA; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA. Electronic address:

Background: As a result of the 21st Century Cures Act, radiology reports are immediately released to patients. However, these reports are often too complex for the lay patient, potentially leading to stress and anxiety. While solutions such as patient portals or providing radiologist contact information have been proposed in the past, new generative artificial intelligence technologies like ChatGPT and Google Gemini may provide the most accessible and scalable method of simplifying radiology reports for patients.

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Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health.

Int J Med Inform

November 2024

Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, United States; School of Health Information Science, University of Victoria, Victoria, BC, Canada; Homewood Research Institute, Guelph, ON, Canada; Department of Medicine, Harvard Medical School, Boston, MA, United States. Electronic address:

Introduction: AI is big and moving fast into healthcare, creating opportunities and risks. However, current approaches to governance focus on high-level principles rather than tailored recommendations for specific domains like consumer health. This gap risks unintended consequences from generic guidelines misapplied across contexts and from providing answers before agreeing on the questions.

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Cognitive reflection is a distinct and measurable trait.

Proc Natl Acad Sci U S A

December 2024

Emerita, School of Public and International Affairs, Princeton University, Princeton, NJ 08544.

We report the findings of an adversarial collaboration examining whether the cognitive reflection test (CRT) measures anything beyond mathematical aptitude and, if so, whether its incremental predictive validity can be attributed to reflection, per se. We found that an 8-item CRT has greater predictive validity than an 8-item Mathematical Aptitude Test (MAT) consisting of comparably difficult items which lack dominant intuitive lures. Further, the incremental predictive validity stems from the CRT's measurement of reflection, which we show using both structural equation models and a dual-response paradigm that helps distinguish susceptibility to intuitions from inadequate mathematical aptitude.

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Prior work has established that laypeople do not consistently treat moral questions as being objectively true or as merely true relative to different perspectives. Rather, these metaethical judgments vary dramatically across moral issues and in response to different social influences. We offer a potential explanation by examining how objectivists and relativists are evaluated in different contexts.

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Clinician Staffing and Quality of Care in US Health Centers.

JAMA Netw Open

October 2024

Fair Haven Community Health Care, New Haven, Connecticut.

Importance: Health centers are vital primary care safety nets for underserved populations, but optimal clinician staffing associated with quality care is unclear. Understanding the association of clinician staffing patterns with quality of care may inform care delivery, scope-of-practice policy, and resource allocation.

Objective: To describe the association of clinician staffing models and ratios with quality-of-care metrics in health centers.

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In response to intense pressure, technology companies have enacted policies to combat misinformation. The enforcement of these policies has, however, led to technology companies being regularly accused of political bias. We argue that differential sharing of misinformation by people identifying with different political groups could lead to political asymmetries in enforcement, even by unbiased policies.

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Despite a checkered racial history, people in the United States generally believe the nation has made steady, incremental progress toward achieving racial equality. In this article, we investigate whether this U.S.

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We provide the mathematical and empirical foundations of the friendship paradox in networks, often stated as "Your friends have more friends than you." We prove a set of network properties on friends of friends and characterize the concepts of ego-based and alter-based means. We propose a network property called inversity that quantifies the imbalance in degrees across edges and prove that the sign of inversity determines the ordering between ego-based or alter-based means for any network, with implications for interventions.

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The retina, an anatomical extension of the brain, forms physiological connections with the visual cortex of the brain. Although retinal structures offer a unique opportunity to assess brain disorders, their relationship to brain structure and function is not well understood. In this study, we conducted a systematic cross-organ genetic architecture analysis of eye-brain connections using retinal and brain imaging endophenotypes.

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There is strong political assortment of Americans on social media networks. This is typically attributed to preferential tie formation (i.e.

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Geographic distribution of general industry payments to advanced-practice clinicians.

Health Aff Sch

July 2023

Department of Radiology and Biomedical Imaging, Yale School of Medicine, 789 Howard Avenue, Tompkins East 204, New Haven, CT 06510, United States.

Following the recent expansion of the Open Payments program to include advanced-practice clinicians (APCs) as covered recipients, we characterized the geographical distribution of general industry payments to nurse practitioners and physician assistants using the Open Payments database. The number and dollar value of payments, as well as the average and median payment amount earned per provider, varied by state. However, a significantly higher proportion of APCs received payments in states with more restrictive scope-of-practice laws.

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Research in psychology and medicine has linked mental health disorders, and particularly bipolar disorder (BD), to employment in creative professions. Little is known, however, about the mechanisms for this link, which could be due to biology (primarily through a person's genes) or environmental (through socioeconomic status). Using administrative data on mental health diagnoses and occupations for the population of Denmark, we find that people with BD are more likely to be musicians than the population, but less likely to hold other creative jobs.

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Large Language Models as an Inexpensive and Effective Extra Set of Eyes in Radiology Reporting.

Radiology

April 2024

From the Department of Radiology, Yale University School of Medicine, 333 Cedar St, New Haven, CT 06510; Yale School of Management, New Haven, Conn; Department of Economics, Yale College, New Haven, Conn; and Yale School of Public Health, New Haven, Conn.

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As large-scale biobanks provide increasing access to deep phenotyping and genomic data, genome-wide association studies (GWAS) are rapidly uncovering the genetic architecture behind various complex traits and diseases. GWAS publications typically make their summary-level data (GWAS summary statistics) publicly available, enabling further exploration of genetic overlaps between phenotypes gathered from different studies and cohorts. However, systematically analyzing high-dimensional GWAS summary statistics for thousands of phenotypes can be both logistically challenging and computationally demanding.

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Quantitative Evaluation of Large Language Models to Streamline Radiology Report Impressions: A Multimodal Retrospective Analysis.

Radiology

March 2024

From the Yale School of Medicine (R.D., P.K.) and Department of Radiology and Biomedical Imaging (K.S.A., S.S.B., S.C., H.P.F.), Yale School of Medicine, 333 Cedar St, New Haven, CT 06510; Yale School of Management, New Haven, Conn (H.P.F.); and Department of Health Policy and Management, Yale School of Public Health, New Haven, Conn (H.P.F.).

Background The complex medical terminology of radiology reports may cause confusion or anxiety for patients, especially given increased access to electronic health records. Large language models (LLMs) can potentially simplify radiology report readability. Purpose To compare the performance of four publicly available LLMs (ChatGPT-3.

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We examine judgements of bias in distributional outcomes. Such judgements are often based on imbalance in distributional outcomes, namely, the under- or over-representation of a target group relative to some baseline. Using data from 26 studies (N = 14,925), we test how these judgements of bias vary with the target group's characteristics (traditionally dominant or non-dominant) and the observer's political ideology (liberal or conservative).

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Aid organizations, activists, and the media often use graphic depictions of human suffering to elicit sympathy and aid. While effective, critics have condemned these practices as exploitative, objectifying, and deceptive, ultimately labeling them 'poverty porn.' This paper examines people's ethical judgments of portrayals of poverty and the criticisms surrounding them, focusing on the context of charity advertising.

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Motivating effortful behaviour is a problem employers, governments and nonprofits face globally. However, most studies on motivation are done in Western, educated, industrialized, rich and democratic (WEIRD) cultures. We compared how hard people in six countries worked in response to monetary incentives versus psychological motivators, such as competing with or helping others.

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Large language models as a source of health information: Are they patient-centered? A longitudinal analysis.

Healthc (Amst)

March 2024

Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA; Yale School of Management, New Haven, CT, USA; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA.

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Importance: Hospice care enhances quality of life for people with terminal illness and is most beneficial with longer length of stay (LOS). Most hospice research focuses on the Medicare-insured population. Little is known about hospice use for the racially and ethnically diverse, low-income Medicaid population.

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People vary between each other and across contexts with respect to how important it is to them to think in logical, impartial, and evidence-based ways. Recent studies demonstrate that this variation in people's personal standards for thinking predicts the nature and quality of their beliefs. Strong commitments to epistemic virtues motivate careful thinking and protect people from suspicious claims.

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Uncovering the semantics of concepts using GPT-4.

Proc Natl Acad Sci U S A

December 2023

Department of Economics and Business, Universitat Pompeu Fabra (UPF), Barcelona School of Economics (BSE), UPF-Barcelona School of Management, Barcelona 08005, Spain.

The ability of recent Large Language Models (LLMs) such as GPT-3.5 and GPT-4 to generate human-like texts suggests that social scientists could use these LLMs to construct measures of semantic similarity that match human judgment. In this article, we provide an empirical test of this intuition.

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Introduction: While breastfeeding is recognized as providing optimal nutrition for infants and toddlers, maternal employment is a commonly mentioned barrier to breastfeeding. The goal was to (a) identify key actors participating in the design and implementation of workplace breastfeeding interventions in Mexico, (b) understand the complexity of interactions between the actors, and (c) map the connections and influence between the actors when looking into networks of Advice, Command, Funding, and Information.

Method: Following the NetMap methodology, a total of 11 semi-structured interviews with 12 interview partners from 10 organizations were conducted.

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