Danielle L. Mowery
YOU?
Author Swipe
View article: MedVidDeID: Protecting privacy in clinical encounter video recordings
MedVidDeID: Protecting privacy in clinical encounter video recordings Open
The MedVidDeID pipeline offers a viable, efficient hybrid solution for handling AV healthcare data and privacy preservation. Future work will focus on reducing upstream errors at each stage and minimizing the role of the human in the loop.
View article: Evaluating Large Language Models for Automatic Detection of In-Hospital Cardiac Arrest: Multi-Site Analysis of Clinical Notes
Evaluating Large Language Models for Automatic Detection of In-Hospital Cardiac Arrest: Multi-Site Analysis of Clinical Notes Open
In-hospital cardiac arrest (IHCA) affects over 200,000 patients annually in the United States, yet its detection through manual chart review remains resource-intensive and often delayed. We evaluated the performance of four open-source lar…
View article: Correction: Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study
Correction: Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study Open
[This corrects the article DOI: 10.1371/journal.pdig.0000484.].
View article: Patient Interaction Phenotypes With an Automated SMS Text Message–Based Program and Use of Acute Health Care Resources After Hospital Discharge: Observational Study
Patient Interaction Phenotypes With an Automated SMS Text Message–Based Program and Use of Acute Health Care Resources After Hospital Discharge: Observational Study Open
Background Automated bidirectional SMS text messaging has emerged as a compelling strategy to facilitate communication between patients and the health system after hospital discharge. Understanding the unique ways in which patients interac…
View article: Moderating effects of coping strategies on the associations between stigma and depression among emerging adults
Moderating effects of coping strategies on the associations between stigma and depression among emerging adults Open
The moderating effects of coping strategies varied by type of stigma. If these findings are confirmed, future mental health interventions for minority populations may benefit from tailored coping strategies to specific stressors.
View article: Automated Safety Plan Scoring in Outpatient Mental Health Settings: An Exploratory Study Using Large Language Models (Preprint)
Automated Safety Plan Scoring in Outpatient Mental Health Settings: An Exploratory Study Using Large Language Models (Preprint) Open
View article: MedVidDeID: Protecting Privacy in Clinical Encounter Video Recordings
MedVidDeID: Protecting Privacy in Clinical Encounter Video Recordings Open
View article: Experiences of Peer Mentoring Sexual and Gender Minority Emerging Adults Who Are at Risk for Suicide: Mixed Methods Study
Experiences of Peer Mentoring Sexual and Gender Minority Emerging Adults Who Are at Risk for Suicide: Mixed Methods Study Open
Background Sexual and Gender Diverse Youth (SGDY) are at increased risk for suicide due to unique experiences including discrimination, family or friend rejection, and low positive affect. Peer mentors (PMs) may offer a unique opportunity …
View article: Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study Open
Background The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on novel psychoactive substances. However,…
View article: Experiences of Peer Mentoring Sexual and Gender Minority Emerging Adults Who Are at Risk for Suicide: Mixed Methods Study (Preprint)
Experiences of Peer Mentoring Sexual and Gender Minority Emerging Adults Who Are at Risk for Suicide: Mixed Methods Study (Preprint) Open
BACKGROUND Sexual and Gender Diverse Youth (SGDY) are at increased risk for suicide due to unique experiences including discrimination, family or friend rejection, and low positive affect. Peer mentors (PMs) may offer a unique opportunity…
View article: Implications of mappings between International Classification of Diseases clinical diagnosis codes and Human Phenotype Ontology terms
Implications of mappings between International Classification of Diseases clinical diagnosis codes and Human Phenotype Ontology terms Open
Objective Integrating electronic health record (EHR) data with other resources is essential in rare disease research due to low disease prevalence. Such integration is dependent on the alignment of ontologies used for data annotation. The …
View article: Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative
Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative Open
View article: Textual Triage: Assessing GPT4 for Classification of Free-Text Medication-Related Messages for Hypertension Management
Textual Triage: Assessing GPT4 for Classification of Free-Text Medication-Related Messages for Hypertension Management Open
Patient-generated free-text messages are a well-recognized source of clinical burden and burnout for clinicians. Machine learning approaches such as Large Language Models (LLMs) may be applied to alleviate this burden by automatically tria…
View article: Automatically Identifying Event Reports of Workplace Violence and Communication Failures using Large Language Models
Automatically Identifying Event Reports of Workplace Violence and Communication Failures using Large Language Models Open
Safety event reporting forms a cornerstone of identifying and mitigating risks to patient and staff safety. However, variabilities in reporting and limited resources to analyze and classify event reports delay healthcare organizations’ abi…
View article: Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study
Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study Open
Few studies examining the patient outcomes of concurrent neurological manifestations during acute COVID-19 leveraged multinational cohorts of adults and children or distinguished between central and peripheral nervous system (CNS vs. PNS) …
View article: Safety planning intervention and follow-up: A telehealth service model for suicidal individuals in emergency department settings: Study design and protocol
Safety planning intervention and follow-up: A telehealth service model for suicidal individuals in emergency department settings: Study design and protocol Open
View article: Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions
Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions Open
Background Social determinants of health (SDoH) like socioeconomics and neighborhoods strongly influence outcomes, yet standardized SDoH data is lacking in electronic health records (EHR), limiting research and care quality. Methods We sea…
View article: Relation Detection to Identify Stroke Assertions from Clinical Notes Using Natural Language Processing
Relation Detection to Identify Stroke Assertions from Clinical Notes Using Natural Language Processing Open
According to the World Stroke Organization, 12.2 million people world-wide will have their first stroke this year almost half of which will die as a result. Natural Language Processing (NLP) may improve stroke phenotyping; however, existin…
View article: Using Natural Language Processing to Extract and Classify Symptoms Among Patients with Thyroid Dysfunction
Using Natural Language Processing to Extract and Classify Symptoms Among Patients with Thyroid Dysfunction Open
In the United States, more than 12% of the population will experience thyroid dysfunction. Patient symptoms often reported with thyroid dysfunction include fatigue and weight change. However, little is understood about the relationship bet…
View article: Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study
Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study Open
Background Information regarding opioid use disorder (OUD) status and severity is important for patient care. Clinical notes provide valuable information for detecting and characterizing problematic opioid use, necessitating development of…
View article: Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions
Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions Open
Background: Social determinants of health (SDoH), such as socioeconomics and neighborhoods, strongly influence health outcomes. However, the current state of standardized SDoH data in electronic health records (EHRs) is lacking, a signific…
View article: Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative
Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative Open
Background: While many patients seem to recover from SARS-CoV-2 infections, many patients report experiencing SARS-CoV-2 symptoms for weeks or months after their acute COVID-19 ends, even developing new symptoms weeks after infection. Thes…
View article: Leveraging informative missing data to learn about acute respiratory distress syndrome and mortality in long-term hospitalized COVID-19 patients throughout the years of the pandemic
Leveraging informative missing data to learn about acute respiratory distress syndrome and mortality in long-term hospitalized COVID-19 patients throughout the years of the pandemic Open
Electronic health records (EHRs) contain a wealth of information that can be used to further precision health. One particular data element in EHRs that is not only under-utilized but oftentimes unaccounted for is missing data. However, mis…
View article: STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers
STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers Open
While machine learning (ML) includes a valuable array of tools for analyzing biomedical data, significant time and expertise is required to assemble effective, rigorous, and unbiased pipelines. Automated ML (AutoML) tools seek to facilitat…
View article: Patient Phenotyping for Atopic Dermatitis With Transformers and Machine Learning: Algorithm Development and Validation Study
Patient Phenotyping for Atopic Dermatitis With Transformers and Machine Learning: Algorithm Development and Validation Study Open
Background Atopic dermatitis (AD) is a chronic skin condition that millions of people around the world live with each day. Performing research into identifying the causes and treatment for this disease has great potential to provide benefi…
View article: Defining Key Deprescribing Measures from Electronic Health Data: A Multisite Data Harmonization Project
Defining Key Deprescribing Measures from Electronic Health Data: A Multisite Data Harmonization Project Open
Background Deprescribing, or systematically stopping or reducing risky or unneeded medications, could improve older adults’ health. Electronic health records (EHR) hold promise for supporting deprescribing studies, but there are currently …
View article: Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study (Preprint)
Developing a Framework to Infer Opioid Use Disorder Severity From Clinical Notes to Inform Natural Language Processing Methods: Characterization Study (Preprint) Open
BACKGROUND Information regarding opioid use disorder (OUD) status and severity is important for patient care. Clinical notes provide valuable information for detecting and characterizing problematic opioid use, necessitating development o…
View article: Patient Phenotyping for Atopic Dermatitis With Transformers and Machine Learning: Algorithm Development and Validation Study (Preprint)
Patient Phenotyping for Atopic Dermatitis With Transformers and Machine Learning: Algorithm Development and Validation Study (Preprint) Open
BACKGROUND Atopic dermatitis (AD) is a chronic skin condition that millions of people around the world live with each day. Performing research into identifying the causes and treatment for this disease has great potential to provide benef…
View article: A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds
A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds Open
View article: Patient Phenotyping for Atopic Dermatitis with Transformers and Machine Learning
Patient Phenotyping for Atopic Dermatitis with Transformers and Machine Learning Open
Background Atopic dermatitis (AD) is a chronic skin condition that millions of people around the world live with each day. Performing research studies into identifying the causes and treatment for this disease has great potential to provid…