Large language models and synthetic health data: progress and prospects.

Objectives: Given substantial obstacles surrounding health data acquisition, high-quality synthetic health data are needed to meet a growing demand for the application of advanced analytics for clinical discovery, prediction, and operational excellence. We highlight how recent advances in large language models (LLMs) present new opportunities for progress, as well as new risks, in synthetic health data generation (SHDG).

Materials And Methods: We synthesized systematic scoping reviews in the SHDG domain, recent LLM methods for SHDG, and papers investigating the capabilities and limits of LLMs.

A Quantitative Framework to Identify and Prioritize Opportunities in Biomedical Product Innovation: A Proof-of-Concept Study.

Importance: Prioritization and funding for health initiatives, including biomedical innovation, may not consistently target unmet public health needs.

Objective: To (1) develop a quantitative, databased framework to identify and prioritize opportunities for biomedical product innovation investments based on a multicriteria decision-making model (MCDM) that includes comprehensive measures of public health burden and health care costs, and (2) pilot test the model.

Design, Setting, And Participants: The Department of Health and Human Services (HHS) convened public and private experts to develop a model, select measures, and complete a longitudinal pilot study to identify and prioritize opportunities for investment in biomedical product innovations that have the greatest public health benefit.

Market segmentation of South African adolescent girls and young women to inform HIV prevention product marketing strategy: A mixed methods study.

The uptake of and adherence to HIV prevention products in South Africa has not achieved widespread success. This study aimed to develop a holistic understanding of the psychographics of adolescent girls and young women in South Africa, a primary audience for HIV prevention products, in order to inform market segmentation and marketing strategies. Extensive ethnographic analyses were complemented with a survey ( = 1,500) centered on personal care product journeys.

Engagement and Outcomes Associated with Contextual Annotation Features of a Digital Health Solution.

Background: Digital health solutions targeting diabetes self-care are popular and promising, but important questions remain about how these tools can most effectively help patients. Consistent with evidence of the salutary effects of note-taking in education, features that enable annotation of structured data entry might enhance the meaningfulness of the interaction, thereby promoting persistent use and benefits of a digital health solution.

Method: To examine the potential benefits of note-taking, we explored how patients with type 2 diabetes used annotation features of a digital health solution and assessed the relationship between annotation and persistence in engagement as well as improvements in glycated hemoglobin (A1C).

Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans.

mHealth tools to help people manage chronic illnesses have surged in popularity, but evidence of their effectiveness remains mixed. The aim of this study was to address a gap in the mHealth and health psychology literatures by investigating how individual differences in psychological traits are associated with mHealth effectiveness. Drawing from regulatory mode theory, we tested the role of locomotion and assessment in explaining why mHealth tools are effective for some but not everyone.

Electronic Health Record Implementation Findings at a Large, Suburban Health and Human Services Department.

Objective: Evaluate an electronic health record (EHR) implementation across a large public health department to better understand and improve implementation effectiveness of EHRs in public health departments.

Design: A survey based on Consolidated Framework for Implementation Research constructs was administered to staff before and after implementation of an EHR.

Setting: Large suburban county department of health and human services that provides clinical, behavioral, social, and oral health services.