Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications.

Objectives: This study aimed to explain and categorize key ethical concerns about integrating large language models (LLMs) in healthcare, drawing particularly from the perspectives of clinicians in online discussions.

Materials And Methods: We analyzed 3049 posts and comments extracted from a self-identified clinician subreddit using unsupervised machine learning via Latent Dirichlet Allocation and a structured qualitative analysis methodology.

Results: Analysis uncovered 14 salient themes of ethical implications, which we further consolidated into 4 overarching domains reflecting ethical issues around various clinical applications of LLM in healthcare, LLM coding, algorithm, and data governance, LLM's role in health equity and the distribution of public health services, and the relationship between users (human) and LLM systems (machine).

Role of Incentives in the Use of Blockchain-Based Platforms for Sharing Sensitive Health Data: Experimental Study.

Background: Blockchain is an emerging technology that enables secure and decentralized approaches to reduce technical risks and governance challenges associated with sharing data. Although blockchain-based solutions have been suggested for sharing health information, it is still unclear whether a suitable incentive mechanism (intrinsic or extrinsic) can be identified to encourage individuals to share their sensitive data for research purposes.

Objective: This study aimed to investigate how important extrinsic incentives are and what type of incentive is the best option in blockchain-based platforms designed for sharing sensitive health information.

How learner engagement impacts non-formal online learning outcomes through value co-creation: an empirical analysis.

From the perspective of service science and its core concept of value co-creation, promoting learner engagement is critical for learning outcomes in a non-formal online learning environment. To promote online learning performance, we study how multidimensional learner engagement affects both instrumental and experiential learning outcomes. By incorporating the service-dominant logic perspective into the research model, we designed an online survey to investigate the impact of platform value co-creation on learners' engagement outcomes.

Patients' Perceptions Toward Human-Artificial Intelligence Interaction in Health Care: Experimental Study.

Background: It is believed that artificial intelligence (AI) will be an integral part of health care services in the near future and will be incorporated into several aspects of clinical care such as prognosis, diagnostics, and care planning. Thus, many technology companies have invested in producing AI clinical applications. Patients are one of the most important beneficiaries who potentially interact with these technologies and applications; thus, patients' perceptions may affect the widespread use of clinical AI.

Do Hospitals Need to Extend Telehealth Services? An Experimental Study of Different Telehealth Modalities during the COVID-19 Pandemic.

Background: The COVID-19 pandemic has changed health care systems and clinical workflows in many countries, including the United States. This public health crisis has accelerated the transformation of health care delivery through the use of telehealth. Due to the coronavirus' severity and pathogenicity, telehealth services are considered the best platforms to meet suddenly increased patient care demands, reduce the transformation of the virus, and protect patients and health care workers.

Using Electronic Health Records to Mitigate Workplace Burnout Among Clinicians During the COVID-19 Pandemic: Field Study in Iran.

Background: The COVID-19 pandemic spread worldwide in 2020. Notably, in the countries dealing with massive casualties, clinicians have worked in new conditions characterized by a heavy workload and a high risk of being infected. The issue of clinician burnout during the pandemic has attracted considerable attention in health care research.

The impact of data entry structures on perceptions of individuals with chronic mental disorders and physical diseases towards health information sharing.

Background And Objective: Collecting, integrating, and sharing mental and physical health information can enhance the care process of patients and improve the completeness of patient databases in the health information exchange (HIE) networks. There is a need to encourage patients with physical and mental disorders to share their health information with providers. Data entry interfaces are suggested as an important factor affecting the quality of information.

Revisiting Effective Communication Between Patients and Physicians: Cross-Sectional Questionnaire Study Comparing Text-Based Electronic Versus Face-to-Face Communication.

Background: Research has shown that text-based communication via telemedicine will continue to be a mode of communication that patients and physicians use in the future. However, very few studies have examined patients' perspectives regarding the increased use of text-based communication versus face-to-face (FtF) communication.

Objective: This study aimed to understand and compare the potential differences in patients' perceptions of communication effectiveness with their physicians through different modes of communication.

The effects of data entry structure on patients' perceptions of information quality in Health Information Exchange (HIE).

Background And Objective: To exchange patient health information using Health Information Exchange (HIE) projects, such information first should be collected thoroughly using an appropriate data entry interface that reinforces information quality (IQ). Assessment of the given data interface based on its structure level may give us a better understanding of patients' attitudes toward information-sharing efforts. The main objective of this study is to examine the effects of data structure on perceptions and attitudes of patients toward the quality of health information that may be shared through HIE networks.

The Potential of Blockchain Technology for Health Information Exchange: Experimental Study From Patients' Perspectives.

Background: Nowadays, a number of mechanisms and tools are being used by health care organizations and physicians to electronically exchange the personal health information of patients. The main objectives of different methods of health information exchange (HIE) are to reduce health care costs, minimize medical errors, and improve the coordination of interorganizational information exchange across health care entities. The main challenges associated with the common HIE systems are privacy concerns, security risks, low visibility of system transparency, and lack of patient control.

Comparison of consumers' perspectives on different health information exchange (HIE) mechanisms: an experimental study.

Objective: Consumers' willingness to allow the distribution of their health data is a prerequisite for the success of any health information exchange (HIE) initiative. Several mechanisms are being used by healthcare organizations to exchange health information electronically. Our goal is to investigate how patients' preferences regarding information exchange (i.