Kristin Kostka, MPH
Associate Director, OMOP Data Network – Americas
IQVIA
Kristin Kostka is an Associate Director at IQVIA running the OMOP Data Network and a perennial collaborator within the Observational Health Sciences and Informatics (OHDSI) community – a global, multi-disciplinary community of more than 200 organizations aimed at improving patient outcomes through large scale analytics. In her work, Kristin partners with hospitals, payers and healthcare providers to help organizations unlock the power of institutional data and connect with the world’s largest observational health data network.
Kristin has over 10 years of experience leading real-world evidence generation studies, designing and implementing enterprise patient data lakes, conducting large-scale multinational clinical trials and preparing regularly submissions. She is considered a preeminent voice in observational health research and data science providing expertise across the US, Europe, Middle East and Asia to deliver presentations on open science methodologies – including at Johns Hopkins University, the University of Oxford, Tufts Clinical and Translational Science Institute, Northwestern University and Fudan University. Kristin co-authored three chapters for the world’s first observational health open science textbook, the Book of OHDSI and is one of the facilitators for the OHDSI COVID-19 Study-a-thon and follow-on research programs including Project CHARYBDIS (Characterizing Health Associated Risks, and Your Baseline Disease In SARS-COV-2). Kristin is also aiding the US National Institutes of Health in designing and implementing a centralized data repository, the National COVID Cohort Collaborative, for COVID-19 surveillance.
Within OHDSI, Kristin sits on the OHDSI Steering Committee, the US Symposium Scientific Committee, the Women of OHDSI group, the OHDSI Study Nurture Committee and regularly leads OHDSI network studies. Kristin co-authored three chapters of the Book of OHDSI [book.ohdsi.org] (Where to Begin, Building Cohorts and OHDSI Network Research). Her OHDSI passion project is the idea of “studies on studies” — evaluating the best way to disseminate evidence once its generated.
Kristin is a recipient of many industry awards including: 2020 Elon University Young Alumni Council “Top 10 Under 10” Alumni Award, 2018 OHDSI Titan Award in Community Collaboration, a 3- time recipient of Deloitte Outstanding Performance Award and an 8-time recipient of the Deloitte Applause Award for exceptional client service. She holds a Bachelor’s degree in Exercise Science from Elon University and a Master’s in Public Health in Epidemiology from Boston University School of Public Health.
*Last name changed from Feeney to Kostka in 2018.*
Kostka K, Van Zandt M, Denis M, Rijnbeek P, Posada J, Campodonico M, Julian GS, Reich C. Increasing the Representativeness of OHDSI Network Studies through Globalization of the OHDSI Community. OHDSI Symposium 2019. Bethesda, MD. Sep 16, 2019.
Kostka K, Beaulah S, Marshall E, Hamlin B. Reimagining Quality Reporting using the OMOP CDM NOTE_NLP Table: A Pilot. OHDSI Symposium 2019. Bethesda, MD. Sep 16, 2019.
Kostka K. Using the OMOP CDM NOTE_NLP Table for HEDIS Measures. NCQA Digital Quality Summit 2019. Boston, MA. Jul 16-18, 2019.
Kostka K, Beaulah S, Marshall E, Nogueira K, Hamlin B. Reimagining Quality Reporting using the OMOP CDM NOTE_NLP Table: A Pilot. NCQA Digital Quality Summit 2019. Boston, MA. Jul 16-18, 2019.
Drahos J, Kostka K, Lane J, Lopez A. Leveling the Playing Field in STEM – How to Attract and Retain Female Talent. The Equality Lounge @ AWS Reinvent 2018. Las Vegas, NV. Nov 26-30, 2018.
Cruz A, Kostka K, Liu J. Streamlining Application Development with AWS Service Catalog. AWS Reinvent. Las Vegas, NV. Nov 26-30, 2018.
Kostka K. It Takes a Village: An Open-Science Approach to Improving Quality and Efficiency of the Real-World Evidence Generation Process. OHDSI Symposium 2018. Bethesda, MD. Oct 12, 2018.
Kostka K. Beyond the Hype: How Do We Define “Value” from Deep Learning Models in Real World Data? IMPACCT RWE, Boston, MA. Sep 26-27, 2018.
Burnett S, Feeney K. Advanced Cognitive Algorithms – Interactive Session. Big Data and Analytics for Healthcare & Life Sciences Summit 2018, London, UK. Mar 21, 2018.
Burnett S, Feeney K. Real World Evidence Generation with ConvergeHEALTH Miner. Experience Analytics 2017, London, UK. Nov 14, 2017.
Biswas P, Feeney K. Workshop: Applying Advanced Cognitive Learning Algorithms in the Life Sciences Industry. Big Data and Analytics for Healthcare & Life Sciences Summit 2017, Philadelphia, PA. Nov 1-2, 2017.
Feeney K, Housman D. Building Deep Learning Models for Real World Evidence. Big Data and Analytics for Healthcare & Life Sciences Summit 2017, Philadelphia, PA. Nov 1-2, 2017.
Feeney K. Real World Evidence Solutions at Deloitte: ConvergeHEALTH Miner and the Global OHDSI Community Involvement. Deloitte Global LSHC Data Scientists Council 2017, Tel Aviv, Israel. Oct 24-26, 2017.
Al-Qahtani N, Feeney K, Natarajan K, Po MJ, Rao G. Stakeholder Perspectives on the Journey Ahead. OHDSI Symposium 2017, Bethesda, MD, Oct 18, 2017.
Andryc A, Feeney K, van Bochove K, Natarajan K. Case Study: The Observational Health Data Sciences & Informatics (OHDSI) Collaborative. BioIT World 2017, Boston, MA. May 23-25, 2017.
Feeney K, Matheny M, Park RW, Perotte A, Reich C, Reisinger S. Where are we on the journey right now? How did we get here? OHDSI Symposium 2016, Washington, DC, Sep 23, 2016.
Feeney K, Sobti R, Anantha S, Kurapati VC, Sharma A. Extending Open Source OHDSI Analytics Applications to Enable Automated Data Characterization of Clinical Trials Data. BioIT World 2016, Boston, MA. Apr 5-8, 2016.
