Hidden Insights: Collecting and Analyzing Non-Traditional Multi-Modal Data to Support Clinical Research and Practice

Presentation Time: 01:00 PM - 04:00 PM

Abstract Keywords: Data Sharing, Nursing Informatics, Machine Learning, Data transformation/ETL, Controlled Terminologies, Ontologies, and Vocabularies, Natural Language Processing, Geospatial (GIS) Data/Analysis
Working Group: Nursing Informatics Working Group
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics

The purpose of this workshop is to introduce participants to the availability, access, and analysis of non-traditional health-related data. Using a broader set of data has the potential to deliver more powerful health insights. We will review nurse-generated data, unstructured text data, patient-reported survey data, physical activity data, genetic data, and geospatial data for social drivers of health. Participants will learn about multi-modal data from statewide centralized repositories to publicly available datasets and be introduced to analysis techniques for gaining insights from these data by highlighting research and clinical implications. The workshop concludes with a crowdsourcing-style discussion where all participants can ask questions and contribute answers about data sources, computational resources, and learning activities related to multi-modal non-traditional data use.

Speakers:
Tamara Macieira, PhD, RN
University of Florida

Lisiane Pruinelli, PhD, MS, RN, FAMIA
University of Florida

Steve Johnson, PhD
University of Minnesota

Vera Borkowski, PhD
Child and Family Agency of Southeastern Connecticut

Paula Wolski, MSN, RN, NI-BC
Brigham and Womens Faulkner Hospital

Yun Jiang, PhD, MS, RN, FAMIA
University of Michigan

Alvin Jeffery, PhD, RN
Vanderbilt University Medical Center

Authors:
Tamara Macieira, PhD, RN - University of Florida; Lisiane Pruinelli, PhD, MS, RN, FAMIA - University of Florida; Steve Johnson, PhD - University of Minnesota; Vera Borkowski, PhD - Child and Family Agency of Southeastern Connecticut; Paula Wolski, MSN, RN, NI-BC - Brigham and Womens Faulkner Hospital; Yun Jiang, PhD, MS, RN, FAMIA - University of Michigan; Alvin Jeffery, PhD, RN - Vanderbilt University Medical Center;

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