View the Recording of the Webinar
Abstract
Using data captured in the course of providing healthcare has never been more important. The shift from fee-for-service to fee-for-value demands that healthcare organizations understand the quality and cost of the care they provide. Data-driven decisions in support of performance improvement has never been more critical. Healthcare organizations must harvest the data from across its portfolio of implemented applications and put it to use – re-purpose it – in pursuit of healthier people at optimal cost.
Health care organizations have been building data warehouses of various sorts for a number of years. These initiatives typically start with high hopes for the reporting, measurement and analytics the collected data and associated technology will support. The reality, sadly, often does not meet expectations. Usually, the report or dashboard works just fine, it’s the data that isn’t as expected.
Data dictionaries, organizational standards, and pick lists for data entry fields may describe the intent of a particular data field but don’t guarantee that the data captured in the source system actually reflects that intent. Metrics and the analytics supporting performance improvement require consistent, reliable data. To ensure the data landing in a data warehouse –or even in an analytic application– is as expected, an organization needs to profile and evaluate that data prior to moving it.
Data profiling is the activity that examines the format and values of data and helps an organization understand exactly the state it’s in. It is the statistical analysis and assessment of the data values in source systems for consistency, uniqueness and logic.
Learning Objectives
After this webinar, attendees should be able to:
- Clearly define and understand data profiling
- Discuss benefits of data profiling
- Describe the types of projects that benefit from data profiling
- Explain what types of resources are needed for a successful data profiling project
For more information about Encore, A Quintiles Company click here.
Panelists
Lori Yackanicz
Administrator of Clinical Informatics at Lehigh Valley Health Network
Lori is a 20+ year veteran in the Healthcare IT field who has implemented various initiatives, including Computerized Physician Order Entry (CPOE), Medication Bar Code Administration, and Ambulatory EMR across 80+ office practices; and leads LVHN’s data and clinical informatics initiatives.
She currently serves on the Board of DVHIMSS, where she co-chairs the Program Committee, and is a member of the HIMSS Business Intelligence Committee.
Randy L. Thomas
Associate Partner, Performance Analytics at Encore, A Quintiles Company
Randy has over 25 years of experience in HIT with a focus on analytics and the re-use of data to support the performance improvement efforts of healthcare organizations. Having served in a variety of leadership roles in strategic consulting and product management, she offers a seasoned perspective on how to drive measurable results through the use of business intelligence in healthcare.
Joy Ales
MHA, BSN, RN, and Senior Consultant at Encore, A Quintiles Company
Joy is a Registered Nurse (RN) with over 25 years of healthcare operational experience. She is a former Vice President of Quality, Risk Management and Medical Staff Services, and interim Chief Nursing Officer (CNO). Her passion is to help healthcare organizations leverage their electronically captured data to improve patient outcomes and operational efficiencies.
