Engendering connection: The embodied emotional labor of U.S. cosmetic surgeons.

Emotional labor has typically been analyzed as a gendered phenomenon in managed workers like nurses. Broadening this frame, this study analyzes how a different strata of workers perform emotional labor: surgeons. Drawing on 42 in-depth interviews with U.S. cosmetic surgeons and a content analysis of online reviews by patients, we argue that cosmetic surgeons perform both intimate and professionalized strategies of emotional labor to build long-term relationships with patients. We highlight how some surgeons strategically use their gender and bodies to forge emotional connections with patients, combining physician authority and their own embodied experiences. We identify two intimate, embodied strategies of emotional labor used by cosmetic surgeons (Paternalistic and Empathic) which are highly gendered and two additional strategies that more closely resemble professional norms (Egalitarian and Technical). Cosmetic surgeons can and do switch between strategies, subject to the constraints of gender norms and expectations; embodied strategies have different payoffs for men and women. Women surgeons, in particular, may sometimes adopt professionalized strategies of emotional labor to assert their physician authority and status and resist expectations of feminized emotional labor. In commercialized medicine, emotional labor enables elite healthcare providers to negotiate power dynamics with dependent patients. In addition to making patients feel better, embodied labor can confer meaning on surgeons' work.

Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening: A Qualitative Study.

Importance: The use of artificial intelligence (AI) is expanding throughout the field of medicine. In dermatology, researchers are evaluating the potential for direct-to-patient and clinician decision-support AI tools to classify skin lesions. Although AI is poised to change how patients engage in health care, patient perspectives remain poorly understood. Objective: To explore how patients conceptualize AI and perceive the use of AI for skin cancer screening. Design, Setting, and Participants: A qualitative study using a grounded theory approach to semistructured interview analysis was conducted in general dermatology clinics at the Brigham and Women's Hospital and melanoma clinics at the Dana-Farber Cancer Institute. Forty-eight patients were enrolled. Each interview was independently coded by 2 researchers with interrater reliability measurement; reconciled codes were used to assess code frequency. The study was conducted from May 6 to July 8, 2019. Main Outcomes and Measures: Artificial intelligence concept, perceived benefits and risks of AI, strengths and weaknesses of AI, AI implementation, response to conflict between human and AI clinical decision-making, and recommendation for or against AI. Results: Of 48 patients enrolled, 26 participants (54%) were women; mean (SD) age was 53.3 (21.7) years. Sixteen patients (33%) had a history of melanoma, 16 patients (33%) had a history of nonmelanoma skin cancer only, and 16 patients (33%) had no history of skin cancer. Twenty-four patients were interviewed about a direct-to-patient AI tool and 24 patients were interviewed about a clinician decision-support AI tool. Interrater reliability ratings for the 2 coding teams were κ = 0.94 and κ = 0.89. Patients primarily conceptualized AI in terms of cognition. Increased diagnostic speed (29 participants [60%]) and health care access (29 [60%]) were the most commonly perceived benefits of AI for skin cancer screening; increased patient anxiety was the most commonly perceived risk (19 [40%]). Patients perceived both more accurate diagnosis (33 [69%]) and less accurate diagnosis (41 [85%]) to be the greatest strength and weakness of AI, respectively. The dominant theme that emerged was the importance of symbiosis between humans and AI (45 [94%]). Seeking biopsy was the most common response to conflict between human and AI clinical decision-making (32 [67%]). Overall, 36 patients (75%) would recommend AI to family members and friends. Conclusions and Relevance: In this qualitative study, patients appeared to be receptive to the use of AI for skin cancer screening if implemented in a manner that preserves the integrity of the human physician-patient relationship.

Do online reviews diminish physician authority? The case of cosmetic surgery in the U.S.

This article analyzes the substance and perception of online physician reviews, which are qualitative and quantitative assessments of physicians written and shared by patients, in the case of U.S. cosmetic surgery. Like other cash-pay medical specialties, cosmetic surgery is elective and paid for largely out of pocket, with patients having latitude in their choice of surgeon. Drawing on qualitative data from interviews, observations of an American Society of Aesthetic Plastic Surgery professional meeting, and online reviews from the platforms RealSelf and Yelp, I identify two interdependent contributors to physician authority: reputation and expertise. I argue that surgeons see reviews overwhelmingly as a threat to their reputation, even as actual review content often positively reinforces physician expertise and enhances physician reputation. I show that most online reviews linked to interview participants are positive, according considerable deference to surgeons. Reviews add patients' embodied and consumer expertise as a circumscribed supplement to surgeons' technical expertise. Moreover, reviews change the doctor-patient relationship by putting it on display for a larger audience of prospective patients, enabling patients and review platforms to affect physician reputation. Surgeons report changing how they practice to establish and maintain their reputations. This research demonstrates how physician authority in medical consumerist contexts is a product of reputation as well as expertise. Consumerism changes the doctor-patient relationship and makes surgeons feel diminished authority by dint of their reputational vulnerability to online reviews.

Odor-specific habituation arises from interaction of afferent synaptic adaptation and intrinsic synaptic potentiation in olfactory cortex.

Segmentation of target odorants from background odorants is a fundamental computational requirement for the olfactory system and is thought to be behaviorally mediated by olfactory habituation memory. Data from our laboratory have shown that odor-specific adaptation in piriform neurons, mediated at least partially by synaptic adaptation between the olfactory bulb outputs and piriform cortex pyramidal cells, is highly odor specific, while that observed at the synaptic level is specific only to certain odor features. Behavioral data show that odor habituation memory at short time constants corresponding to synaptic adaptation is also highly odor specific and is blocked by the same pharmacological agents as synaptic adaptation. Using previously developed computational models of the olfactory system we show here how synaptic adaptation and potentiation interact to create the observed specificity of response adaptation. The model analyzes the mechanisms underlying the odor specificity of habituation, the dependence on functioning cholinergic modulation, and makes predictions about connectivity to and within the piriform neural network. Predictions made by the model for the role of cholinergic modulation are supported by behavioral results.