Allison B. McCoy
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View article: A standard-based taxonomy of features that affect user response to clinical decision support alerts
A standard-based taxonomy of features that affect user response to clinical decision support alerts Open
View article: A Case Report in Using a Laboratory-Based Decision Support Alert for Research Enrollment and Randomization
A Case Report in Using a Laboratory-Based Decision Support Alert for Research Enrollment and Randomization Open
Our objective was to identify barriers to implementing a custom clinical decision support (CDS) alert to randomize individuals in a pragmatic study, specifically those with a positive antinuclear antibody (ANA) test. We integrated a valida…
View article: Impact of PREVENT Cardiovascular Risk Equations on Statin Eligibility by Subgroup and Risk Thresholds: A Cross-Sectional Study
Impact of PREVENT Cardiovascular Risk Equations on Statin Eligibility by Subgroup and Risk Thresholds: A Cross-Sectional Study Open
Background Replacing the pooled cohort equations (PCEs) with the Predicting Risk of Cardiovascular Disease EVENTs (PREVENT) equations for atherosclerotic cardiovascular disease (ASCVD) risk is projected to reduce statin eligibility, prompt…
View article: Optimizing Order Sets With a Large Language Model–Powered Multiagent System
Optimizing Order Sets With a Large Language Model–Powered Multiagent System Open
Importance Optimizing order sets is vital to enhance clinical decision support and improve patient care. Manual review is resource intensive and cannot timely identify potential improvements in order sets. Objective To develop and evaluate…
View article: A care transitions e-clinical pathway for patients with chronic conditions: Developing and integrating end-user education and resources (Preprint)
A care transitions e-clinical pathway for patients with chronic conditions: Developing and integrating end-user education and resources (Preprint) Open
UNSTRUCTURED Background: Understanding patient educational requirements for care transitions is crucial for ensuring safe and effective care for patients with multiple chronic conditions (MCC). Objective: Within a larger study developing …
View article: Benchmarks after bowel resection in Crohn’s disease: implementing clinically meaningful health-related quality of life targets
Benchmarks after bowel resection in Crohn’s disease: implementing clinically meaningful health-related quality of life targets Open
Background Patient-reported outcome measure scores must be interpretable to be effective in a clinical setting. In this retrospective cohort study, we sought to establish the minimum clinically important difference (MCID) and patient accep…
View article: A Multi-Institutional Evaluation of Billing for Tobacco-Cessation Services: Opportunities to Improve Quality and Enhance Revenue Capture
A Multi-Institutional Evaluation of Billing for Tobacco-Cessation Services: Opportunities to Improve Quality and Enhance Revenue Capture Open
A recent paper identified significant gaps in billing for tobacco-cessation services for a multihospital health system. Underbilling can reflect poor billing practices, low rates of tobacco-cessation counseling, or a combination of both. T…
View article: The use of patient-reported outcome measures in recurrent diverticulitis
The use of patient-reported outcome measures in recurrent diverticulitis Open
We observed significantly greater baseline overall Diverticulitis Quality of Life Instrument scores and scores in the subdomain of behavior in patients who chose to pursue elective colectomy after consultation for recurrent diverticulitis.
View article: Impact of a Pharmacist Driven Penicillin Allergy De-labeling Protocol on Rates of Reported Allergy in the Intensive Care Unit
Impact of a Pharmacist Driven Penicillin Allergy De-labeling Protocol on Rates of Reported Allergy in the Intensive Care Unit Open
Inaccurate penicillin allergy labels (PALs) results in use of broader, less optimized antibiotics. Studies have shown challenging low-risk PALs is safe and effective. We assessed the proportion of PALs among critically ill patients after a…
View article: Detecting emergencies in patient portal messages using large language models and knowledge graph-based retrieval-augmented generation
Detecting emergencies in patient portal messages using large language models and knowledge graph-based retrieval-augmented generation Open
Objectives This study aims to develop and evaluate an approach using large language models (LLMs) and a knowledge graph to triage patient messages that need emergency care. The goal is to notify patients when their messages indicate an eme…
View article: User Actions within a Clinical Decision Support Alert for the Management of Hypertension in Chronic Kidney Disease
User Actions within a Clinical Decision Support Alert for the Management of Hypertension in Chronic Kidney Disease Open
This study aimed to examine user actions within a clinical decision support (CDS) alert addressing hypertension (HTN) in chronic kidney disease (CKD). A pragmatic randomized controlled trial of a CDS alert for primary care patients with CK…
View article: Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines
Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines Open
Objective The objectives of this study are to synthesize findings from recent research of retrieval-augmented generation (RAG) and large language models (LLMs) in biomedicine and provide clinical development guidelines to improve effective…
View article: Successful collection of patient-reported outcomes shows improvement in quality of life, depression, and disease activity among patients with Inflammatory Bowel Disease: A real-world study
Successful collection of patient-reported outcomes shows improvement in quality of life, depression, and disease activity among patients with Inflammatory Bowel Disease: A real-world study Open
Introduction: Patient reported outcomes (PRO) including patient disease activity scores, quality of life, and depressive symptoms are increasingly being used for clinical care in patients with inflammatory bowel disease (IBD). However, lit…
View article: Vanderbilt Clinical Informatics Center Education Strategy: To Infinity and Beyond!
Vanderbilt Clinical Informatics Center Education Strategy: To Infinity and Beyond! Open
Background The Vanderbilt Clinical Informatics Center (VCLIC) is based in the Department of Biomedical Informatics (DBMI) and operates across Vanderbilt University Medical Center (VUMC) and Vanderbilt University (VU) with a goal of enablin…
View article: Addressing the implementation challenge of risk prediction model due to missing risk factors: The submodel approximation approach
Addressing the implementation challenge of risk prediction model due to missing risk factors: The submodel approximation approach Open
Clinical prediction models have been widely acknowledged as informative tools providing evidence‐based support for clinical decision making. However, prediction models are often underused in clinical practice due to many reasons including …
View article: The Use of Precision Medicine to Support the Precision of Clinical Decisions in care delivery
The Use of Precision Medicine to Support the Precision of Clinical Decisions in care delivery Open
Summary Objectives: Objective: Precision medicine uses individualized patient data, including genomic and social determinants of health SDoH), to provide optimized personalized patient treatment. In this scoping review, we summarize studie…
View article: Fellows of the American Medical Informatics Association (FAMIA): Looking Back and Looking Ahead
Fellows of the American Medical Informatics Association (FAMIA): Looking Back and Looking Ahead Open
Background Over the past 30 years, the American Medical Informatics Association (AMIA) has played a pivotal role in fostering a collaborative community for professionals in biomedical and health informatics. As an interdisciplinary associa…
View article: Using large language model to guide patients to create efficient and comprehensive clinical care message
Using large language model to guide patients to create efficient and comprehensive clinical care message Open
Objective This study aims to investigate the feasibility of using Large Language Models (LLMs) to engage with patients at the time they are drafting a question to their healthcare providers, and generate pertinent follow-up questions that …
View article: Identifying antinuclear antibody positive individuals at risk for developing systemic autoimmune disease: development and validation of a real-time risk model
Identifying antinuclear antibody positive individuals at risk for developing systemic autoimmune disease: development and validation of a real-time risk model Open
Objective Positive antinuclear antibodies (ANAs) cause diagnostic dilemmas for clinicians. Currently, no tools exist to help clinicians interpret the significance of a positive ANA in individuals without diagnosed autoimmune diseases. We d…
View article: Leveraging large language models for generating responses to patient messages—a subjective analysis
Leveraging large language models for generating responses to patient messages—a subjective analysis Open
Objective This study aimed to develop and assess the performance of fine-tuned large language models for generating responses to patient messages sent via an electronic health record patient portal. Materials and Methods Utilizing a datase…
View article: Clinical Decision Support for Hypertension Management in Chronic Kidney Disease
Clinical Decision Support for Hypertension Management in Chronic Kidney Disease Open
Importance Chronic kidney disease (CKD) affects 37 million adults in the United States, and for patients with CKD, hypertension is a key risk factor for adverse outcomes, such as kidney failure, cardiovascular events, and death. Objective …
View article: Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation
Implementable Prediction of Pressure Injuries in Hospitalized Adults: Model Development and Validation Open
Background Numerous pressure injury prediction models have been developed using electronic health record data, yet hospital-acquired pressure injuries (HAPIs) are increasing, which demonstrates the critical challenge of implementing these …
View article: Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support
Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support Open
Objectives To evaluate the capability of using generative artificial intelligence (AI) in summarizing alert comments and to determine if the AI-generated summary could be used to improve clinical decision support (CDS) alerts. Materials an…
View article: Leveraging explainable artificial intelligence to optimize clinical decision support
Leveraging explainable artificial intelligence to optimize clinical decision support Open
Objective To develop and evaluate a data-driven process to generate suggestions for improving alert criteria using explainable artificial intelligence (XAI) approaches. Methods We extracted data on alerts generated from January 1, 2019 to …
View article: Pragmatic Removal of Penicillin Electronic Health Record Labels: The PROPEL Trial
Pragmatic Removal of Penicillin Electronic Health Record Labels: The PROPEL Trial Open
View article: TELEHEALTH ENHANCES RETENTION OF PATIENTS WITH INFLAMMATORY BOWEL DISEASE WITHIN A TERTIARY CARE INFLAMMATORY BOWEL DISEASE CENTER
TELEHEALTH ENHANCES RETENTION OF PATIENTS WITH INFLAMMATORY BOWEL DISEASE WITHIN A TERTIARY CARE INFLAMMATORY BOWEL DISEASE CENTER Open
INTRODUCTION Telehealth care in the ambulatory setting has dramatically increased in the COVID and post-COVID period in medicine. Understanding how this may impact the care of patients (pts) with inflammatory bowel disease (IBD) is importa…
View article: Identifying Stakeholder Requirements for the Development of an Electronic Care Transitions Tool to Improve Health Outcomes for Patients with Multiple Chronic Conditions.
Identifying Stakeholder Requirements for the Development of an Electronic Care Transitions Tool to Improve Health Outcomes for Patients with Multiple Chronic Conditions. Open
The transition from hospital to home can be a vulnerable and challenging period for patients, especially those living with multiple chronic conditions (MCC), as evidenced by their disproportionately high rates of readmission.1 L…
View article: Implementable prediction for pressure injuries in hospitalized adults: model development and validation (Preprint)
Implementable prediction for pressure injuries in hospitalized adults: model development and validation (Preprint) Open
BACKGROUND Numerous pressure injury prediction models have been developed using electronic health record data. Yet, hospital-acquired pressure injuries (HAPIs) are increasing, which demonstrates the critical challenge of implementing thes…
View article: POINT: Pipeline for Offline Conversion and Integration of Geocodes and Neighborhood Data
POINT: Pipeline for Offline Conversion and Integration of Geocodes and Neighborhood Data Open
Objectives Geocoding, the process of converting addresses into precise geographic coordinates, allows researchers and health systems to obtain neighborhood-level estimates of social determinants of health. This information supports opportu…
View article: Clickbusters letter response
Clickbusters letter response Open
Journal Article Clickbusters letter response Get access Allison B McCoy, Allison B McCoy Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA Corresponding Author: Allison B. McCoy, PhD, Dep…