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521 Supporting research through the development of self-service tools and operational transparency.

Published online by Cambridge University Press:  19 April 2022

Larisa Rodgers
Affiliation:
Wake Forest School of Medicine
Brian Ostasiewski
Affiliation:
Wake Forest School of Medicine
Lindsay Trost
Affiliation:
Wake Forest School of Medicine
William Ford
Affiliation:
Wake Forest School of Medicine
Michael Horvath
Affiliation:
Wake Forest School of Medicine
Irina Viviano
Affiliation:
Wake Forest School of Medicine
Wendell Futrell
Affiliation:
Wake Forest School of Medicine
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Abstract

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OBJECTIVES/GOALS: The Informatics Program in the Wake Forest CTSI is experiencing rapid growth. To accommodate an influx of both staff and clinical investigators this program Invests resources in self-service tools to increase researcher capabilities Automates resource intensive activities Creates transparency of operational processes for researchers. METHODS/STUDY POPULATION: Self-service tools (immediate/automated) The i2b2 tool queries clinical data for feasibility numbers and cohort identification; and provides demographic breakdowns of patient sets The Data Puller tool pulls identified patient data (with IRB approval) The SKAN NLP tool pulls aggregate numbers from over 3 million clinical notes Automation A custom-built tracking system automates parts of tracking requests for data and checking IRB protocols Operational transparency The Data Request Dashboard shows requesters information about their request and where it is in the process of being fulfilled The Data Quote tool was constructed leveraging the integrated CTSA informatics network and uses details of the request to estimate how long it will take to complete. RESULTS/ANTICIPATED RESULTS: i2b2 has had over 300 unique users each year; 80% are faculty or research staff, 20% are clinicians or students. From 2017-2021 there have been an average of 300 i2b2 queries and 45 Data Puller pulls each month. SKAN has had 58 unique users since its implementation in late 2020, averaging 5 new users per month. The automated data request tracking system took approximately 30 staff hours to create and saves an average of 4 hours of staff time per week. It also decreases human error by pulling/pushing information directly between systems. The Informatics program has received positive feedback from researchers who use the Data Request Dashboard. The Data Quote Tool is being used to give standardized quotes to researchers. DISCUSSION/SIGNIFICANCE: Investing resources in developing and implementing self-service tools and operational transparency ultimately reduces overall resource consumption, saving staff and investigator time and effort. This enables the Informatics program to maintain a high standard of service while experiencing rapid growth.

Type
Workforce Development
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s), 2022. The Association for Clinical and Translational Science