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(1) Describe the evolution of Health Information Exchanges (HIEs) into Health Data Utilities (HDUs); (2) Provide motivation for HDUs as a public strategic investment target.

This study assesses the abilities of 2 large language models (LLMs), GPT-4 and BioMistral 7B, in responding to patient queries, particularly concerning rare diseases, and compares their performance with that of physicians.

Effective postoperative care is crucial for the success of total joint arthroplasty (TJA) and prevention of unnecessary emergency department (ED) visits. We explore the feasibility and acceptability of utilizing an Interactive Voice Response System (IVRS) to enhance postoperative monitoring in primary TJA patients.This pilot study was conducted with 24 participants undergoing primary TJA randomly assigned to an intervention group receiving IVRS calls (n = 12) or a control group (n = 12) receiving standard [...]

Developing equitable, sustainable informatics solutions is key to scalability and long-term success for projects in the global health informatics (GHI) domain. This paper presents key strategies for incorporating principles of health equity in the GHI project lifecycle.

At a large quaternary health system, tissue specimens were frequently sent to the microbiology laboratory with an incorrect wound culture order meant for swab specimens due to poor electronic health record (EHR) menu design. Wound cultures were also requested in chronic wound cases with a low index of suspicion for acute infection.This study aimed to present a case report on specific changes to the design of the electronic test menu [...]

This study aimed to develop a novel multi-stage self-supervised learning model tailored for the accurate classification of optical coherence tomography (OCT) images in ophthalmology reducing reliance on costly labeled datasets while maintaining high diagnostic accuracy.

Electronic health records (EHRs) have significantly impacted healthcare improving access to patient information and enhancing communication among the health care team. However, the lack of usability and increased documentation burden has greatly contributed to clinician burnout. Improvements in EHR design that include physician input are critical to developing specific changes that make EHRs more intuitive and less cumbersome to use; however, it can be challenging to gather input from physicians [...]

While performance drift of clinical prediction models is well-documented, the potential for algorithmic biases to emerge post-deployment has had limited characterization. A better understanding of how temporal model performance may shift across subpopulations is required to incorporate fairness drift into model maintenance strategies.

To validate a phenotyping algorithm for gradations of diverticular disease severity and investigate relationships between unmet social needs and disease severity.