Data Analytics Toolkit: Show Me How to Use Analytics in My Practice!

HomeAcademicsProfessional EducationEvents and Learning ActivitiesSummer Institute in Nursing InformaticsSINI 2016Data Analytics Toolkit: Show Me How to Use Analytics in My Practice!

Tuesday, July 19, 2016
Time: 8:15 a.m. – 5 p.m.

Target audience: Novice to intermediate clinical analysts, quality analysts, directors of nursing (anyone doing data driven decision-making)

Description

In the current health care environment, the skill sets for data utilization became a vital component. This one-day hands-on workshop will provide the participants with practical knowledge, skills, and a toolkit in data analytics. The course will focus on fundamental concepts and skill sets of data analytics in the area of clinical informatics and clinical decision making surrounding care quality, safety, and revenue generation, as well as their applications to the practice settings. (Note: Major technologies to be used during the workshop: KNIME, Tableau, Excel query, and other open source programs).

Objectives

At the completion of this course, participants will be able to:

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

Presenters

Charles Gabrial, MS
Kathleen Charters, PhD, RN
Eun-Shim Nahm, PhD, RN, FAAN 
Kristin Seidl, PhD, RN

Schedule

Time Topic
8:15-8:45 a.m. Check-in/Breakfast
8:45-9 Welcome
9-9:45 Data Analytics Introduction
  • Definition
  • Business Intelligence
  • History and Background
9:45-11 Quality Measurement
  • How to Measure Performance and Quality
  • Performance Measurement Frameworks (NQF, HEDIS)
11-11:15 Break
11:15 a.m.-12:45 p.m. The Financial Perspective
  • Cutting Cost and Optimizing Revenues Using the Analytic Construct 
  • Preparing a Data Set Before Applying the Tool
  • Avoiding Misleading Results
12:45-1:30 Lunch
1:30-2:45 Administration Allocation
  • Combining Clinical Data with Staff Data
  • Using Data to Make Decisions About Scheduling Staff: PACU Example: number of patients, patient acuity level, number of staff, novice to expert capability of staff, by hour of day and by day of week
2:45-3 Break
3-4:30 Case Study/Group Work
4:30-5 Wrap Up and Review

Continuing Education

Participants may receive 6.5 contact hour(s) upon successful completion of this educational activity. Successful completion of this activity for Continuing Nursing Education (CNE) is demonstrated by attending the entire activity, completion of the online CNE evaluation survey, and completion of the verification of attendance form provided on site. Partial credit is not provided. Participants receive a CNE certificate via email from the University of Maryland School of Nursing approximately 2-4 weeks after submitting their request and required documentation.

No conflict of interest with a commercial interest was disclosed by any of the planners, faculty members, or speakers for this program.

The University of Maryland School of Nursing is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center’s (ANCC) Commission on Accreditation.

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