Ethical issues in implementation science: perspectives from a National Heart, Lung, and Blood Institute workshop.

Ethical issues arise in the context of implementation science that may differ from those encountered in other research settings. This report, developed out of a workshop convened by the Center for Translation Research and Implementation Science within the United States National Heart, Lung, and Blood Institute, identifies six key themes that are important to the assessment of ethical dimensions of implementation science. First, addressing ethical challenges in implementation science does not require new ethical principles, commitments, or regulations.

Impact of personalized risk scores on shared decision making in left ventricular assist device implantation: Findings from a qualitative study.

Objective: To assess stakeholders' perspectives on integrating personalized risk scores (PRS) into left ventricular assist device (LVAD) implantation decisions and how these perspectives might impact shared decision making (SDM).

Methods: We conducted 40 in-depth interviews with physicians, nurse coordinators, patients, and caregivers about integrating PRS into LVAD implantation decisions. A codebook was developed to identify thematic patterns, and quotations were consolidated for analysis.

Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care.

Given the need for enforceable guardrails for artificial intelligence (AI) that protect the public and allow for innovation, the U.S. Government recently issued a Blueprint for an AI Bill of Rights which outlines five principles of safe AI design, use, and implementation.

Talking About Suffering in the Intensive Care Unit.

Background: Some have hypothesized that talk about suffering can be used by clinicians to motivate difficult decisions, especially to argue for reducing treatment at the end of life. We examined how talk about suffering is related to decision-making for critically ill patients, by evaluating transcripts of conversations between clinicians and patients' families.

Methods: We conducted a secondary qualitative content analysis of audio-recorded family meetings from a multicenter trial conducted in the adult intensive care units of five hospitals from 2012-2017 to look at how the term "suffering" and its variants were used.

Deep Brain Stimulation for Childhood Treatment-Resistant Obsessive-Compulsive Disorder: Mental Health Clinician Views on Candidacy Factors.

Introduction: Deep brain stimulation (DBS) is approved under a humanitarian device exemption to manage treatment-resistant obsessive-compulsive disorder (TR-OCD) in adults. It is possible that DBS may be trialed or used clinically off-label in children and adolescents with TR-OCD in the future. DBS is already used to manage treatment-resistant childhood dystonia.

Is Suffering a Useless Concept?

"Suffering" is a central concept within bioethics and often a crucial consideration in medical decision making. As used in practice, however, the concept risks being uninformative, ambiguous, or even misleading. In this paper, we consider a series of cases in which "suffering" is invoked and analyze them in light of prominent theories of suffering.

Neurorights in question: rethinking the concept of mental integrity.

The idea of a 'right to mental integrity', sometimes referred to as a 'right against mental interference,' is a relatively new concept in bioethics, making its way into debates about neurotechnological advances and the establishment of 'neurorights.' In this paper, we interrogate the idea of a right to mental integrity. First, we argue that some experts define the right to mental integrity so broadly that rights violations become ubiquitous, thereby trivialising some of the very harms the concept is meant to address.

Adolescent OCD Patient and Caregiver Perspectives on Identity, Authenticity, and Normalcy in Potential Deep Brain Stimulation Treatment.

The ongoing debate within neuroethics concerning the degree to which neuromodulation such as deep brain stimulation (DBS) changes the personality, identity, and agency (PIA) of patients has paid relatively little attention to the perspectives of prospective patients. Even less attention has been given to pediatric populations. To understand patients' views about identity changes due to DBS in obsessive-compulsive disorder (OCD), the authors conducted and analyzed semistructured interviews with adolescent patients with OCD and their parents/caregivers.

Responsibility Gaps and Black Box Healthcare AI: Shared Responsibilization as a Solution.

As sophisticated artificial intelligence software becomes more ubiquitously and more intimately integrated within domains of traditionally human endeavor, many are raising questions over how responsibility (be it moral, legal, or causal) can be understood for an AI's actions or influence on an outcome. So called "responsibility gaps" occur whenever there exists an apparent chasm in the ordinary attribution of moral blame or responsibility when an AI automates physical or cognitive labor otherwise performed by human beings and commits an error. Healthcare administration is an industry ripe for responsibility gaps produced by these kinds of AI.

Ethical considerations for integrating multimodal computer perception and neurotechnology.

Background: Artificial intelligence (AI)-based computer perception technologies (e.g., digital phenotyping and affective computing) promise to transform clinical approaches to personalized care in psychiatry and beyond by offering more objective measures of emotional states and behavior, enabling precision treatment, diagnosis, and symptom monitoring.

Patients' and physicians' beliefs and attitudes towards integrating personalized risk estimates into patient education about left ventricular assist device therapy.

Background: Personalized risk (PR) estimates may enhance clinical decision making and risk communication by providing individualized estimates of patient outcomes. We explored stakeholder attitudes toward the utility, acceptability, usefulness and best-practices for integrating PR estimates into patient education and decision making about Left Ventricular Assist Device (LVAD).

Methods And Results: As part of a 5-year multi-institutional AHRQ project, we conducted 40 interviews with stakeholders (physicians, nurse coordinators, patients, and caregivers), analyzed using Thematic Content Analysis.

Trust criteria for artificial intelligence in health: normative and epistemic considerations.

Rapid advancements in artificial intelligence and machine learning (AI/ML) in healthcare raise pressing questions about how much users should trust AI/ML systems, particularly for high stakes clinical decision-making. Ensuring that user trust is properly calibrated to a tool's computational capacities and limitations has both practical and ethical implications, given that overtrust or undertrust can influence over-reliance or under-reliance on algorithmic tools, with significant implications for patient safety and health outcomes. It is, thus, important to better understand how variability in trust criteria across stakeholders, settings, tools and use cases may influence approaches to using AI/ML tools in real settings.

Hope and Optimism in Pediatric Deep Brain Stimulation: Key Stakeholder Perspectives.

Introduction: Deep brain stimulation (DBS) is utilized to treat pediatric refractory dystonia and its use in pediatric patients is expected to grow. One important question concerns the impact of hope and unrealistic optimism on decision-making, especially in "last resort" intervention scenarios such as DBS for refractory conditions.

Objective: This study examined stakeholder experiences and perspectives on hope and unrealistic optimism in the context of decision-making about DBS for childhood dystonia and provides insights for clinicians seeking to implement effective communication strategies.

Deep Brain Stimulation for Pediatric Dystonia: Clinicians' Perspectives on the Most Pressing Ethical Challenges.

Introduction: Pediatric deep brain stimulation (pDBS) is commonly used to manage treatment-resistant primary dystonias with favorable results and more frequently used for secondary dystonia to improve quality of life. There has been little systematic empirical neuroethics research to identify ethical challenges and potential solutions to ensure responsible use of DBS in pediatric populations.

Methods: Clinicians (n = 29) who care for minors with treatment-resistant dystonia were interviewed for their perspectives on the most pressing ethical issues in pDBS.

Clinician Perspectives on Levels of Evidence and Oversight for Deep Brain Stimulation for Treatment-Resistant Childhood OCD.

Approximately 10-20% of children with obsessive-compulsive disorder (OCD) have treatment-resistant presentations, and there is likely interest in developing interventions for this patient group, which may include deep brain stimulation (DBS). The World Society for Stereotactic and Functional Neurosurgery has argued that at least two successful randomized controlled trials should be available before DBS treatment for a psychiatric disorder is considered "established." The FDA approved DBS for adults with treatment-resistant OCD under a humanitarian device exemption (HDE) in 2009, which requires that a device be used to manage or treat a condition impacting 8,000 or fewer patients annually in the United States.

Ethics Education for Healthcare Professionals in the Era of ChatGPT and Other Large Language Models: Do We Still Need It?

In this paper, we contend with whether we still need traditional ethics education as part of healthcare professional training given the abilities of chatGPT (generative pre-trained transformer) and other large language models (LLM). We reflect on common programmatic goals to assess the current strengths and limitations of LLMs in helping to build ethics competencies among future clinicians. Through an actual case analysis, we highlight areas in which chatGPT and other LLMs are conducive to common bioethics education goals.