Thursday, May 25, 2017
10 AM Pacific / 1 PM Eastern
Now more than ever, decisions about patient care are being made by analyzing the data that surrounds the provider. When you are making important decisions that affect the patient experience it is critical to make sure you understand what questions you are trying to answer. The quality of the data, how it was generated and what assumptions were made during the data collection process are all part of this process.
Join Melissa Bell, IS Project Manager at Baylor Scott & White Health, the largest not-for-profit health system in Texas, with 48 hospitals, more than 1,000 patient care sites, and more than 5,500 active physicians across North and Central Texas, and Terry Kile, Regional Sales Director at Litmos Healthcare to learn:
- How to formulate the right questions before you start data collections and analysis.
- Best practices for visualizing financial data.
- How to keep financial data simple and digestible for your audience.
- And much more!
Melissa Bell began her career in healthcare by working as a Medical Technologist specializing in Microbiology and Virology. She eventually became a Biosafety Officer for the New Mexico Department of Health Scientific Laboratory Division. In 2013, Melissa completed her Master’s Degree in Health Sciences Informatics from Johns Hopkins School of Medicine. Melissa worked as a Clinical Informaticist and is currently an Information Services Project Manager for Baylor Scott & White Healthcare. As a Project Manager, she is managing several large scale data projects including predictive analytics and electronic Clinical Quality Measures. Healthcare data and data visualization is one of Melissa’s true passions. She thinks that all health care disciplines can help transform patient care and operational excellence through better visualization and communication of data.
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