Informatics and Data Science for the Precision in Symptom Self-Management Center

Suzanne Bakken; Adriana Arcia; Theresa Koleck; Jacqueline A Merrill; Kathleen T Hickey

doi:10.3233/SHTI190668

Informatics and Data Science for the Precision in Symptom Self-Management Center

Stud Health Technol Inform. 2019 Aug 21:264:1827-1828. doi: 10.3233/SHTI190668.

Authors

Suzanne Bakken^{1

2

3}, Adriana Arcia¹, Theresa Koleck¹, Jacqueline A Merrill^{1

2

3}, Kathleen T Hickey^{1

4}

Affiliations

¹ School of Nursing, Columbia University, New York, New York, USA.
² Department of Biomedical Informatics, Columbia University, New York, New York, USA.
³ Data Science Institute, Columbia University, New York, New York, USA.
⁴ Department of Medicine, Columbia University, New York, New York, USA.

PMID: 31438363
DOI: 10.3233/SHTI190668

Abstract

The goal of the Precision in Symptom Self-Management (PriSSM) Center is to advance the science of symptom self-management for Latinos through a social ecological lens that takes into account variability in individual, interpersonal, organizational, and environmental factors across the life course. Informatics and data science methods are foundational to PriSSM's research activities including its pilot studies and research resources. This work highlights three areas: Latino Data Repository, Information Visualization, and Center Evaluation.

Keywords: Nursing Informatics; Precision Medicine; Self-Management.

MeSH terms

Data Science
Humans
Informatics
Medical Informatics*
Palliative Care
Pilot Projects
Self-Management*