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In the EMergency department-initiated BuprenorphinE for opioid use Disorder (EMBED) trial, a clinical decision support (CDS) tool had no effect on rates of buprenorphine initiation in emergency department (ED) patients with opioid use disorder. The Agency for Healthcare Research and Quality (AHRQ) recently released a CDS Performance Measure Inventory to guide data-driven CDS development and evaluation. Through partner co-design, we tailored AHRQ inventory measures to evaluate EMBED CDS performance and [...]

Background Clinical Informatics (CI) is a dynamic field at the intersection of healthcare, technology, and information science, aimed at enhancing healthcare delivery and patient outcomes. CI fellowship programs prepare physicians to lead and apply health information technologies that drive improvements in clinical care, system efficiency, and innovation. Achieving Accreditation Council for Graduate Medical Education (ACGME) accreditation for such programs is crucial for standardizing training and ensuring the development of a [...]

Background Emergency Department (ED) handoff to inpatient teams is a potential source of error. Generative Artificial Intelligence (AI) has shown promise in succinctly summarizing large quantities of clinical data and may help improve Emergency Department (ED) handoff. Objectives Our objectives were to: 1) evaluate the accuracy, clinical utility, and safety of AI-generated ED-to-inpatient handoff summaries; 2) identify patient and visit characteristics influencing summary effectiveness; and 3) characterize potential error patterns [...]

This case series aims to evaluate several applications of inline disappearing text (DT) clinical decision support (CDS) tools within clinician documentation.

Clinicians' occupational fatigue can lead to suboptimal decisions that do not align with evidence-based guidelines or patient needs.

Despite their potential, Clinical Decision Support (CDS) systems often lack alignment with clinicians' needs and are underutilized in practice. Pilot implementations can help to improve the fit between systems and local needs by engaging users in real-world testing and refinement. Although pilot implementations of CDS have been reported, limited evidence has explored the factors contributing to pilot success.This study aimed to explore the opportunities and challenges associated with the pilot [...]

This study aimed to develop a human factors assessment for medication-related clinical decision support (CDS) based on a previously validated tool that assessed the integration of human factors principles in CDS, the instrument for evaluating human factors principles in medication-related decision support alerts (I-MeDeSA), and pilot it with 10 outpatient clinics across the United States.The human factors assessment was developed based on past validations of I-MeDeSA. Examples included changing the [...]

Our objective was to determine how social vulnerabilities, broadband access, and rurality relate to telemedicine use across the United States through large-scale analysis of real-world telemedicine data.

To investigate clinicians' attitudes towards current automated interpretation of ECG and novel AI technologies and their perception of computer-assisted interpretation.

To develop an image retrieval pipeline capable of identifying specific series of thoracic aortic computed tomography (CT) scans from a diverse database.