Clinical Research Informatics
The use of informatics in the discovery and management of new knowledge relating to health and disease. It includes management of information related to clinical trials and also involves informatics related to secondary research use of clinical data. Clinical research informatics and translational bioinformatics are the primary domains related to informatics activities to support translational research.
W02: Research Data Governance: A Tutorial Introduction
S03: Oral Presentations - NLP Case Studies
S12: Oral Presentations - Exploring Data Quality
S16: Oral Presentations - Data Integration
S19: Panel - Promoting Interoperability of Electronic Health Record Data
S21: Oral Presentations - Patient Engagement
S29: Oral Presentations - Case Studies: EHR Data
S34: Oral Presentations - NLP Methodologies
Data Science
The science and art of generating data-driven solutions through comprehension of complex real-world health problems, employing critical thinking and analytics to derive knowledge from (big) data. Health Data Science is an emergent discipline, arising at the intersection of (bio)statistics, computer science, and health. Solutions require integrative approaches, analytics, decision support using technologies like machine learning and artificial intelligence.
W01: Web3D Quickstart: Standards-based 3D in Health and Medicine
W04: Pragmatic Reproducible Research for Analysis, Dissemination and Publication
W07: Hands-on Full Life Cycle Data Science Workshop
S04: Oral Presentations - Machine Learning in Clinical Predictive Modeling I
S08: Oral Presentations - Data-driven Outcomes Research
S13: Oral Presentations - Machine Learning in Clinical Predictive Modeling II
S22: Oral Presentations - Data Science and Knowledge Synthesis
S26: Oral Presentations - Patients, Populations and Data Science
S30: Oral Presentations - Data Mining Applied to Knowledge Development
S35: Oral Presentations - Phenotyping, Coding and Quality Methods
S45: Oral Presentations - Privacy and Bias in Data Science
S49: Oral Presentations - Machine Learning Supporting Diagnosis
Informatics Implementation
Development, deployment and evaluation of success of innovative tools in health and clinical decision support, cognitive aspects of implementation, team dynamics, educational and cultural aspects, software dissemination approaches, are all essential requirements for improving usability, accuracy and efficiency of solutions that are making real-world impact and democratizing critical access to data and knowledge resources.
W05: Innovative Tools for Research Reproducibility and Data Sharing
S07: Oral Presentations - Data Exchange and Patient Management
S17: Oral Presentations - Visualizing and Use of Data for Quality Improvement
S20: Oral Presentations - Clinical Decision Support
S25: Oral Presentations - Applications of Data Sharing & Data Standards
S28: Oral Presentations - Non-traditional Health Data
S40: Oral Presentations - Exploring Patient Data/mHealth
S42: Panel - Patient Stratification for enabling data-driven Clinical Interventions
Translational Bioinformatics
The development of storage, analytic, and interpretive methods to optimize the transformation of increasingly voluminous biomedical data, and genomic data, into proactive, predictive, preventive, and participatory health. Translational bioinformatics includes research on the development of novel techniques for the integration of biological and clinical data and the evolution of clinical informatics methodology to encompass biological observations. The end product of translational bioinformatics is newly found knowledge from these integrative efforts that can be disseminated to a variety of stakeholders, including biomedical scientists, clinicians, and patients.
W03: Big Data Ecosystems for Precision Oncology
W06: Analyzing Whole Exome Sequencing: Unstructured Data to Variant Interpretation
S02: Oral Presentations - Phenotyping
S11: Oral Presentations - Genomics
S14: Panel - National Health Information Technology Priorities to Advance Research
S15: Oral Presentations - Machine Learning and Text Processing
S23: Panel - Operationalizing Innovation for the Return of Genetic and Genomic Results
S24: Oral Presentations - Decision Support
S33: Oral Presentations - Cancer and Genetics Informatics
S38: Oral Presentations - Informatics of Systems and Populations
