“Effectively Using Data” Classroom

Welcome to the Effectively Using Data Virtual Learning Lab!

Please follow each link to gain access to the live class each week and any assignments that are given.

Module 1 – Monday, September 12 1:00pm – 2:30pm ET – 90 minute duration

Module 2 – Monday, September 19 1:00pm – 2:30pm ET – 90 minute duration

Module 3 – Monday, September 26 1:00pm – 2:30pm ET – 90 minute duration

Module 4 – Monday, October 3 1:00pm – 2:30pm ET – 90 minute duration


Course Assignments
You will be asked to participate in weekly discussion board assignments based on the recent webinar. You will also have individual offline assignments, applying concepts presented during each module. Please review the course assignment schedule and prepare accordingly.

Online Discussion Board
Keep the conversation going offline! Participate in discussions with the instructor and fellow classmates. Ask questions, share concerns, or provide personal experiences to help the group. And don’t forget to set up your email notifications! Here’s a quick video to show you how.

Online Course Evaluation
We want your feedback! Don’t forget to complete the module evaluation each week. Your username is your APIC ID and the password is apic. Important Note: To obtain CEs for this course, you must complete each module evaluation first to access the overall course evaluation.


Continuing Education
Continuing Nursing Education Credits (CNEs) are a recognized method of quantifying participation in an organized continuing education experience under responsible sponsorship, capable direction, and qualified instruction. One contact hour is defined as one hour of time spent in an educational experience.

CEs: Attendees will be able to earn between 9-14 CNEs for this activity.


If you cancel in writing by Thursday, September 15, your registration will be refunded less a $75 administrative free. No refunds for cancellations received after this date. No shows are non-refundable. Substitutes are allowed.

Your Module Schedule

Daniel Bronson-Lowe, PhD, CIC

Module 1: Essential Data Analysis Tools, Display Techniques and Tips

September 12, 2016 
1:00pm ET – 90 minute duration


The introductory session explains the essential data tools upon which a broader understanding of epidemiological methods, surveillance, and critical analysis will be developed in subsequent modules. Using many real world examples, this baseline content will focus on those tools most often used as part of an infection prevention program. Practical explanations and easy-to-understand terminology will enable participants to quickly learn and/or review core data skills.


  • Explain the essential statistical tools needed to convert data into information
  • Present tips and techniques for effective data display and interpretation
  • Establish statistical competency necessary for epidemiologic applications to be presented in Module 2

Joan Hebden, MS, RN, CIC

Module 2: Understanding Surveillance Data and NHSN Basics

September 19, 2016
1:00pm ET – 90 minute duration


This presentation is geared toward novice Infection Preventionists who are developing skills within the Infection Prevention and Control competency domain related to surveillance and epidemiologic methods. Using case studies to illustrate the methods, the IP will become familiar with NHSN basics of surveillance and analytic tools, device-associated and procedure-associated infection rate calculation, use of the NHSN data summary report for benchmarking and establishing target goals, incidence and prevalence rate calculation associated with multi-drug resistant organisms and defining outbreaks.


  • State 3 differences between clinical and surveillance definitions of infection
  • Define the value of calculating both incidence and prevalence density rates for trending multi-drug resistant organisms
  • Define the value of presenting both device-associated infection rates and device utilization ratios when providing feedback to bedside providers
  • Understand how to use the NHSN analytic tools for identifying events and the significance of differences in data
  • Define the importance of an epidemic curve during an outbreak investigation

Lindsey Weiner, MPH

Module 3: Data Analysis and Management

September 26, 2016
1:00pm ET – 90 minute duration


Analyzing healthcare-associated infection (HAI) data can be a powerful tool when providing feedback on surveillance programs, as well as to inform effectiveness of HAI prevention efforts. Reviewing HAI data on a regular basis can also ensure that a hospital is compliant with state and/or federal HAI reporting requirements. Using NHSN as the foundation, this presentation will focus on the ways in which IPs can review, analyze, and interpret their hospital’s HAI data. This presentation will also describe important steps to assess data for quality and completeness.


  • Review the various metrics that can be used to analyze healthcare-associated infection (HAI) data
  • Discuss various approaches to performing routine HAI data analyses
  • Demonstrate the analysis and interpretation of HAI data through case studies, including the identification of potential data quality issues

Kathleen Gase, MPH, CIC, FAPIC

Module 4: Turning Data into Information, Part I

October 3, 2016
1:00pm ET – 90 minute duration


Module 4 focuses on turning HAI data into actionable information. In this session, the selection of the appropriate internal and external benchmarks and performance improvement targets will be discussed. Participants will explore common factors impacting on infection rates, such as device utilization, processes of care, seasonal variation and regression to the mean, and how these are assessed. The concepts of statistical, clinical, and operational significance will be reviewed, and strategies for presenting infection prevention data to audiences of varying professional and interest levels will be presented. Participants will learn how to analyze and interpret data, understand different influences of data, how to provide feedback to a variety of different stakeholders through appropriately displaying data. 


After listening to this presentation, attendees will be able to: 

  • Compare data and information
  • Discuss the difference between NHSN data and other national databases (e.g. NDNQI) and how to integrate your data
  • Describe the types of frameworks for evaluation
  • Present information and data to peers and superiors


Linda Greene, RN, MPS, CIC

Joan Hebden, MS, RN, CIC

Module 5: Turning Data into Information, Part II

October 10, 2016
1:00pm ET – 90 minute duration


Demonstrating the value of infection prevention programs to all stakeholders, and communicating that value to C-suite and other healthcare workers, such as nurses and non-clinical support services, is increasingly important. This module will show you tools to communicate your data to ensure your data and the way it’s presented is meaningful to a variety of different stakeholder groups.


After listening to this presentation, attendees will be able to: 

  • Communicate  the value of infection prevention data in both clinical and business terms to make it actionable
  • Identify and understand the relationship and balance between process vs. outcome measures, and related metrics
  • Evaluate process measures
  • Present data in formats fitting to specific stakeholder groups 


Module 6: Knowledge to Practice: Applying New Skills

October 24, 2016
1:00pm ET – 90 minute duration

This lecture, presented by the course instructors, will provide a review of the key issues presented in modules 1-5.


Module 6 will provide a summary of core concepts from first five modules and presenters will discuss sample questions and will go over problematic content areas. Participants will have an opportunity to test their retention and understanding of concepts via polling.

Melissa Bronstein, MPA, BSN, RN, CIC

Linda R. Greene, RN, MPS, CIC

Joan Hebden, MS, RN, CIC


Why Should You Attend?

  • Progressively build skills on data use, display, analysis and communication
  • Integrate NHSN into a comprehensive approach to data management
  • Learn to apply data skills in wide variety of situations ranging from simple to complex
  • Enhance professional competency in the IP technical domain and prepare for board certification



Meet Our Advisory Council

Melissa Bronstein, MPA, BSN, RN, CIC

Linda R. Greene, RN, MPS, CIC

Joan Hebden, MS, RN, CIC

Carol McLay DrPH, BSN, RN, CIC- APIC Nurse Planner


What to expect

Interested in enrolling? This is what you can expect

Everything in the Data Learning Lab will be done virtually, from listening to speakers to doing assignments. Each of the class’s six modules follow this pattern:

Before each class, you will have a chance to get familiar with content through things like recommended readings and videos.

Virtual Class
Your week starts with a 90-minute Virtual-Instructor-Led class (see schedule below). The instructor will start class by looking at the previous week’s class and homework, then will talk about that week’s content.

Each week, you will have a homework assignment to let you apply concepts presented during the class. Assessments may include, but are not limited to, test questions, at-work projects, and videos.


The Association for Professionals in Infection Control and Epidemiology, Inc. (APIC) is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation (ANCC).

CEs: Attendees will be able to earn between 9-14 CNEs for this activity, and can only be obtained through completion of the online evaluation.

Module evaluations will be available at the start of each learning lab through a link provided on the course homepage/discussion board. All course-related evaluations must be completed within 30 days of course completion. After satisfying all evaluation requirements, a certificate of completion will be available to print and/or for your records indicating CEUs.

Accredited status does not imply endorsement by APIC or the American Nurses Credentialing Center of any commercial products displayed or discussed in conjunction with an educational activity.

To access course evaluations, click here.

  • Username: APIC Member ID #
  • Password: apic (all lowercase)