Accelerating an Application Programing Interface-based Ecosystem with Real-World Use Cases

What We Know About Data Warehousing in Support of Clinical and Translational Research: National Survey Results and the Work Ahead

Evidence-based Tools and Strategies for Evaluating the Safety of Health Information Technology Systems: The State of Practice, Challenges, and the Road Ahead

Intelligent Integrative Informatics Approaches for Big Data Aggregation, Sharing and Analytics in Stem Cell Research

Are We There Yet? Creating, Finding, and Using Better Information for Pandemics

Working Towards Shareable and Interoperable Patient and Clinician Facing Clinical Decision Support — Experiences from the Field

FHIR in the Research Continuum: The emerging Vulcan FHIR Accelerator

Pandemic Informatics: Tuning Expectations of Real World Data – Lessons Learned from the National COVID Cohort Collaborative (N3C)

Precision Medicine facilitated through Registry Science: The Challenges and Solutions Associated with Constructing National-breadth Registries by Aggregating a Multi-faceted Patient-focused Datasets

Unlocking clinical concepts embedded in unstructured text to advance COVID-19 Analytics for National COVID Cohort Collaborative (N3C)

Lessons Learned from Healthcare Organizations Contributing Clinical Data to the National COVID Cohort Collaborative (N3C)

Tales from the Front Line – What Happens Between Here and There with HL7 Data Exchanges

Harmonizing What to Analyze in the National COVID Cohort Collaborative (N3C): Lessons Learned

Performance of COVID-19 Research in the CTSA ACT Network

Data Acquisition and Harmonization of COVID-19 Case Data Across Common Data Models: Early Field Reports from the National COVID Cohort Collaborative (N3C)

Extracting clinical data from EHRs to support research: Early lessons from the Cancer Moonshot’s IMPACT Consortium

Implementability of Deep Learning based Predictive Models: Bridging Data Science Research and Real-World Practice

Virtually Ready: Technological Tools and Adaptations in a Children’s Hospital during the COVID-19 Pandemic

Challenges and Opportunities for Implementing Artificial Intelligence at the Speed of Technology Innovation During the COVID-19 Era

The Digital Recipe for Success: Conducting Clinical Research Using Mobile Apps

Machine Learning to improve care delivery: Opportunities and Challenges

Consortium for Clinical Characterization of COVID-19 by EHR (4CE)

Computable Phenotypes: A Primer on Creation, Evaluation and Applications

Using Synthetic Data to Enhance Antimicrobial Use Data Quality within the National Healthcare Safety Network

Health Information Technology Interoperability Standards to Advance the Precision Medicine Initiative

Data-level Linkage of Multiple Surveys for Improved Understanding of Global Health Challenges

Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record Deidentification

Heterogeneity in COVID-19 Patients at Multiple Levels of Granularity: From Biclusters to Clinical Interventions

A Contextual Inquiry: FDA Investigational New Drug Clinical Review

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge

Phenoflow: A Microservice Architecture for Portable Workflow-based Phenotype Definitions

Early Detection of Post-Surgical Complications using Time-series Electronic Health Records

Refined, regionally-specific data standards reveal heterogeneity in Hispanic death records

Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping

Exploring the Hazards of Scaling Up Clinical Data Analyses: A Drug Side Effect Discovery Case Report

Integrating Biomedical Informatics Training into Existing High School Curricula

Developing High Performance Secure Multi-Party Computation Protocols in Healthcare: A Case Study of Patient Risk Stratification

Evaluating Organizational Readiness for change in the Implementation of Telehealth and mobile Health Interventions for Chronic Disease Management

More Generalizable Models For Sepsis Detection Under Covariate Shift

Applications of Aspect-based Sentiment Analysis on Psychiatric Clinical Notes to Study Suicide in Youth

MAgEC: Using Non-Homogeneous Ensemble Consensus for Predicting Drivers in Unexpected Mechanical Ventilation

Analysis of Health Trajectories Leading to Adverse Opioid Events

Hypothyroidism - A Causal Approach to Testing Assumptions against Empirical Data.

An Analysis of Two Sources of Cardiology Patient Data to Measure Medication Agreement

Extracting Concepts for Precision Oncology from the Biomedical Literature

Successes and Misses of Global Health Development: Detecting Temporal Concept Drift of Under-5 Mortality Prediction Models with Bias Scan

Auto-mapping Clinical Documents to ICD-10 using SNOMED-CT

Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies

A Discrete Joint Model for Entity and Relation Extraction from Clinical Notes

Recurrent Neural Networks to Automatically Identify Rare Disease Epidemiologic Studies from PubMed

Generative Adversarial Networks for Creating Synthetic Free-Text Medical Data: A Proposal for Collaborative Research and Re-use of Machine Learning Models

Quantification of BERT Diagnosis Generalizability Across Medical Specialties Using Semantic Dataset Distance

VERTIcal Grid lOgistic regression with Confidence Intervals (VERTIGO-CI)

Comparing Suicide Risk Insights derived from Clinical and Social Media data

Severity Prediction for COVID-19 Patients via Recurrent Neural Networks

Privacy-preserving Sequential Pattern Mining in distributed EHRs for Predicting Cardiovascular Disease

A Comparison between Human and NLP-based Annotation of Clinical Trial Eligibility Criteria Text Using The OMOP Common Data Model

Challenges to Global Standardization of Outcome Measures

Integration of NLP2FHIR Representation with Deep Learning Models for EHR Phenotyping: A Pilot Study on Obesity Datasets

Extracting Adverse Drug Events from Clinical notes

Developing and Deploying a Scalable Computing Platform to Support MOOC Education in Clinical Data Science

CONSIDER Statement: Consolidated Recommendations for Sharing Individual Participant Data from Human Clinical Studies

Empirical Findings on the Role of Structured Data, Unstructured Data, and their Combination for Automatic Clinical Phenotyping

EFFECT OF REOPENING ORDERS ON COVID-19 HOSPITALIZATIONS IN THE US

Assessing the Impact of Imputation on the Interpretations of Prediction Models: A Case Study on Mortality Prediction for Patients with Acute Myocardial Infarction

Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions

Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations

Detection of Anomalous Patterns Associated with the Impact of Medications on 30-Day Hospital Readmission Rates in Diabetes Care

Comparison of Ease of Use and Comfort in Fitness Trackers for Subjects Impaired by Parkinson’s disease: An Exploratory Study

An Examination of the Statistical Laws of Semantic Change in Clinical Notes

Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise As Much As Possible

SAEgnal: A Predictive Assessment Framework for Optimizing Safety Profiles in Immuno-Oncology Combination Trials

Association of Neighborhood-Level Factors and COVID-19 Infection Patterns in Philadelphia Using Spatial Regression

Unmasking the conversation on masks: Natural language processing for topical sentiment analysis of COVID-19 Twitter discourse

Ranking Methodology to Evaluate the Severity of a Quality Gap Using a National EHR Database

Pseudo-data generation for the extraction of Problems, Treatments and Tests

Development of an Informatics Algorithm to Link Seasonal Infectious Diseases to Birth-Dependent Diseases Across Species: A Case Study with Osteosarcoma

Explainable AI-based clinical decision support system for hearing disorders

Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization

ResultsMyWay: combining Fast Healthcare Interoperability Resources (FHIR), Clinical Quality Language (CQL), and informational resources to create a newborn screening application

CQL4NLP: Development and Integration of FHIR NLP Extensions in Clinical Quality Language for EHR-driven Phenotyping

Impact of Data Entry Interface Design on Cognitive Workload, Documentation Correctness, and Documentation Efficiency

Data Characterization of Medicaid: Legacy and New Data Formats in the CMS Virtual Research Data Center

The Effects and Patterns among Mobile Health, Social Determinants, and Physical Activity: A Nationally Representative Cross-Sectional Study

Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation

Recommender system of scholarly papers using public datasets