Dobbs in a Technologized World: Implications for US Data Privacy

In June of 2022, the U.S. Supreme Court issued its opinion in Dobbs v. Jackson Women’s Health Organization, overturning 50 years of precedent by eliminating the federal constitutional right to abortion care established by the Court’s 1973 decision in Roe v. Wade. The Dobbs decision leaves the decision about abortion services in the hands of the states, which created an immediately variegated checkerboard of access to women’s healthcare across the country. This in turn laid bare a profusion of privacy issues that emanate from our technologized world. We review these privacy issues, including healthcare data, financial data, website tracking and social media. We then offer potential future legislative and regulatory pathways that balance privacy with law enforcement goals in women’s health and any domain that shares this structural feature

Professional decision-making in medicine: Development of a new measure and preliminary evidence of validity

INTRODUCTION: This study developed a new Professional Decision-Making in Medicine Measure that assesses the use of effective decision-making strategies: seek help, manage emotions, recognize consequences and rules, and test assumptions and motives. The aim was to develop a content valid measure and obtain initial evidence for construct validity so that the measure could be used in future research or educational assessment. METHODS: Clinical scenario-based items were developed based on a review of the literature and interviews with physicians. For each item, respondents are tasked with selecting two responses (out of six plausible options) that they would choose in that situation. Three of the six options reflect a decision-making strategy; these responses are scored as correct. Data were collected from a sample of 318 fourth-year medical students in the United States. They completed a 16-item version of the measure (Form A) and measures of social desirability, moral disengagement, and professionalism attitudes. Professionalism ratings from clerkships were also obtained. A sub-group (n = 63) completed a second 16-item measure (Form B) to pilot test the instrument, as two test forms are useful for pre-posttest designs. RESULTS: Scores on the new measure indicated that, on average, participants answered 75% of items correctly. Evidence for construct validity included the lack of correlation between scores on the measure and socially desirable responding, negative correlation with moral disengagement, and modest to low correlations with professionalism attitudes. A positive correlation was observed with a clerkship rating focused on professionalism in peer interactions. CONCLUSIONS: These findings demonstrate modest proficiency in the use of decision-making strategies among fourth-year medical students. Additional research using the Professional Decision-Making Measure should explore scores among physicians in various career stages, and the causes and correlates of scores. Educators could utilize the measure to assess courses that teach decision-making strategies

Exploring perceptions of healthcare technologies enabled by artificial intelligence: An online, scenario-based survey

BACKGROUND: Healthcare is expected to increasingly integrate technologies enabled by artificial intelligence (AI) into patient care. Understanding perceptions of these tools is essential to successful development and adoption. This exploratory study gauged participants\u27 level of openness, concern, and perceived benefit associated with AI-driven healthcare technologies. We also explored socio-demographic, health-related, and psychosocial correlates of these perceptions. METHODS: We developed a measure depicting six AI-driven technologies that either diagnose, predict, or suggest treatment. We administered the measure via an online survey to adults (N = 936) in the United States using MTurk, a crowdsourcing platform. Participants indicated their level of openness to using the AI technology in the healthcare scenario. Items reflecting potential concerns and benefits associated with each technology accompanied the scenarios. Participants rated the extent that the statements of concerns and benefits influenced their perception of favorability toward the technology. Participants completed measures of socio-demographics, health variables, and psychosocial variables such as trust in the healthcare system and trust in technology. Exploratory and confirmatory factor analyses of the concern and benefit items identified two factors representing overall level of concern and perceived benefit. Descriptive analyses examined levels of openness, concern, and perceived benefit. Correlational analyses explored associations of socio-demographic, health, and psychosocial variables with openness, concern, and benefit scores while multivariable regression models examined these relationships concurrently. RESULTS: Participants were moderately open to AI-driven healthcare technologies (M = 3.1/5.0 ± 0.9), but there was variation depending on the type of application, and the statements of concerns and benefits swayed views. Trust in the healthcare system and trust in technology were the strongest, most consistent correlates of openness, concern, and perceived benefit. Most other socio-demographic, health-related, and psychosocial variables were less strongly, or not, associated, but multivariable models indicated some personality characteristics (e.g., conscientiousness and agreeableness) and socio-demographics (e.g., full-time employment, age, sex, and race) were modestly related to perceptions. CONCLUSIONS: Participants\u27 openness appears tenuous, suggesting early promotion strategies and experiences with novel AI technologies may strongly influence views, especially if implementation of AI technologies increases or undermines trust. The exploratory nature of these findings warrants additional research

Disability and the Contemporary Surgical Gestalt

No abstract available

Disability and the Contemporary Surgical Gestalt

No abstract available

Dobbs in a Technologized World: Implications for US Data Privacy

In June of 2022, the U.S. Supreme Court issued its opinion in Dobbs v. Jackson Women’s Health Organization, overturning 50 years of precedent by eliminating the federal constitutional right to abortion care established by the Court’s 1973 decision in Roe v. Wade. The Dobbs decision leaves the decision about abortion services in the hands of the states, which created an immediately variegated checkerboard of access to women’s healthcare across the country. This in turn laid bare a profusion of privacy issues that emanate from our technologized world. We review these privacy issues, including healthcare data, financial data, website tracking and social media. We then offer potential future legislative and regulatory pathways that balance privacy with law enforcement goals in women’s health and any domain that shares this structural feature