Our Informatics and Data Science Fellowship offers the unique opportunity to support Vizient’s Comparative Data and Performance Improvement strategic plan with a focus on leveraging data and technology to produce meaningful insights and drive improvement.
Fellows will have the opportunity to dive deeper into this new frontier where data science, informatics and performance improvement intersect in healthcare. They’ll engage in quantitative analysis and collaborative efforts with internal stakeholders and members and use data analysis to help quality and clinical staff develop strategies to improve performance and drive innovation.
The Informatics and Data Science Fellowship role
Fellows will collaborate with internal Vizient staff/leaders and external stakeholders, including Vizient clients. Fellows are responsible for data science and medical informatics projects across the clinical, operational, supply chain, pharmacy and healthcare strategy domains.
The fellowship focuses on experiential learning and is composed of four quarter-long rotations — plus a capstone project completed over the course of the year. Fellows will work with their executive mentor to find projects matched to their interests and goals. This opportunity offers pragmatic, hands-on experience supplemented with didactic sessions to ensure broad perspective on health informatics and data science.
Informatics and Data Science Fellows will finish the program with:
- A more expansive view of how informatics can be used to effectively leverage data and drive innovation forward. Informatics projects will focus on technical topics to advance Vizient offerings in areas of healthcare data standards, data modeling, interoperability and data infrastructure.
- The ability to develop data science approaches, such as machine-learning models to improve understanding or predict healthcare outcomes. Projects in data science will include data projects to improve operations, enhance products or generate new insights — plus data management responsibilities.
- A better understanding of Vizient’s business needs. Fellows will conduct competitive intelligence research and participate in client-facing meetings and ‘voice-of-customer’ work.
Our fellowship value
Vizient created this unique Fellowship in 2020 to complement the current Quantitative Fellowship and to attract individuals with a passion for healthcare informatics and data science.
Vizient recognizes the increasingly important role informatics and data science play both within our business and the industry at large. We look forward to growing these capabilities so we can leverage data insights and drive innovation in healthcare.
A strong educational component is built into the Fellowship program and includes:
- A yearlong capstone project (proposal and final presentation)
- Journal Club
- Book Club
- Speaker Series
- Interviews with Vizient leaders
- Rotations throughout the organization
Informatics and Data Science Fellowship Overview
Program location: Chicago or Dallas
Duration: 1 year
Number of positions: 2
- Master’s degree in data science, statistics, medical informatics, or related field preferred
- In absence of graduate training, will consider candidates with substantial work experience in healthcare care data or technical field
- Demonstrated quantitative and technical skills, including proficiency with coding languages such as SQL, python, R, or equivalent
- Experience with healthcare data, healthcare data standards, interoperability, or other informatics skills desirable
- Strong communication skills
- Project management skills
- One letter of recommendation
- Official Graduate School Transcript
The application cycle for 2022-2023 is open. Applications are due November 30, 2021 at 11:59pm CT.
Beth Godsey, Preceptor
Beth Godsey is the SVP of Data Science & Methodology at Vizient where she oversees analytical modeling, metric development and the hospital ranking/scoring methodology and framework for Vizient members. Additionally, Beth supports member scenario and impact analysis regarding changes to the national landscape, including, CMS Pay for Performance Program methods and publicly reported measures and methodology.
Prior to coming to Vizient, Beth worked in the Center of Clinical Effectiveness at BJC HealthCare in St. Louis, Missouri. In that role, Beth was responsible for statistical support, including case-control analysis, risk prediction and multi-factorial analysis across BJC HealthCare. Beth has 15 years of experience in statistical analysis and modeling with experience in providing advanced analytical support for major hospital strategic initiatives as well as systemwide analytical support.
Beth earned a Masters’ degree in Predictive Analytics from Northwestern University and Business Administration from Webster University in St. Louis, Missouri. Beth earned her Bachelor of Science in Statistics from the University of Tennessee at Knoxville and is a Six Sigma Black Belt.
Dr. Shannon Sims, Preceptor
Shannon Sims, MD PhD is VP of Data Intelligence & Interoperability at Vizient. Dr. Sims leads Vizient’s enterprise efforts on clinical and operational interoperability solutions, the Vizient Big Data storage and processing platform and the Vizient Data-as-a-Service platform.
Dr. Sims has a wide range of experience in informatics, quality and analytics, including leadership roles at provider, vendor and service organizations. Dr. Sims previously held leadership roles at academic medical centers as a VP & chief analytics officer and associate CMIO.
Dr. Sims graduated from Rush University Medical College and completed an internship in internal medicine at Northwestern Memorial Hospital. He was a Robert Woods Johnson Fellow in public health informatics at the University of Utah, where he received his PhD in biomedical informatics.
Matteo Althoen, Fellow
Matteo Althoen received his Bachelor of Science degree in Movement Science at the University of Michigan. During this time, he worked as a research assistant at the Neuromuscular Robotics Rehabilitation Laboratory.
Matteo furthered his education at the University of Michigan with a Master of Health Informatics. Throughout graduate school, Matteo interned with the Michigan Health Information Network (MiHIN), focusing on projects related to continuity of care infrastructure. He also interned with 1upHealth, Inc., an emerging leader in healthcare interoperability.
He looks forward to continuing his professional growth and advancing healthcare innovation with Vizient.
Daniel Vasquez, Fellow
Daniel Vasquez received his Bachelor of Science in Health Sciences from Rush University in Chicago. He completed an administrative internship in Rush University's Department of Health Systems Management where he focused on driving improved efficiency and strategic growth initiatives.
Daniel holds a Master of Health Informatics degree from the University of Michigan – Ann Arbor. He researched traditional machine learning and deep learning methodology to identify medication abuse for the International Conference on Computational Linguistics (COLING).
He looks forward to advancing interoperability of health information technologies while expanding the intersection of computing, data science services and healthcare.