Preconference: Health Care Analytics Workshop

SINI 2017 Header

Health Care Analytics Workshop: Essentials and Pragmatic Application in Nursing

Tuesday, July 11, 8-5 p.m.


Data analytics is now becoming an essential component in health care. "Data-driven care," "value-based care," and  "population health" are becoming the norm. What does "Health Care Data Analytics" mean to you?” How do you use it in your practice? This one day, hands-on workshop will provide you with essential knowledge and skills in data analytics and a toolkit that you can use in your practice. In particular, this workshop will include ample hands-on practice time to exercise selected analytics tools.

Note: Major technologies are to be used during workshop, including Tableau and other main health care analytics programs.


The attendees will be able to:

  1. Explain the concepts of analytics compared to other statistics and the analysis of quality improvement data.
  2. Translate clinical and administrative inquiries into specific analytic questions.
  3. Prepare a data set and import it into a set of analytic tools.
  4. Manage hospital data using analytics programs.
  5. Discover patterns and data nuggets in a simple and practical way.

Target Audience

This workshop is for clinicians who are new to analytics or who have some experience in data management.


Eun-Shim Nahm, PhD, RN, FAAN
Professor and Program Director
Nursing Informatics
University of Maryland School of Nursing

 Kristin L. Seidl, PhD, RN
Clinical Data Scientist
University of Maryland Medical Center
Assistant Professor
University of Maryland School of Nursing

Cyd Charisse Villalba, MS, RN-BC, PMP
Project Lead | Analytics
New-York Presbyterian Hospital


Time Topic
9-10 a.m. Logistics/Introduction
definition, business intelligence, history, background, etc.
10-10:15 a.m. Break
10:15 a.m.-noon Didactic Class/Hands-On Experience
development of queries; preparation of data sets before applying the tool and avoiding misleading results economics; interpretation of outcomes; use of dashboards
noon-12:45 p.m. Lunch
12:45-2:45 p.m. Didactic Class/Hands-On Experience
measurement of performance, existing quality/performance measurement frameworks (NQF, HEDIS), etc.
2:45-3 p.m. Break
3-5 p.m. Didactic Class/Hands-On Experience
administration allocation; how to combine clinical data with staff data; financial decisions within health care settings