Academic medical centers strive to create multidisciplinary research teams to produce impactful science. However, few faculty researchers receive training in "team science," a well-established concept in business research and practice. Responding to demand for assistance developing effective research teams, the Collaboration and Team Science Program of the Clinical and Translational Science Institute (CTSI) at Wake Forest School of Medicine (WFSM) partnered with faculty from the Wake Forest University School of Business with expertise in leadership, management, and team building. We initiated a needs assessment, including a written survey from a diverse set of 42 research scientists as well as semi-structured interviews with eight researchers. In response to identified needs, we developed training sessions and consultations to teach teams to implement two tools known to enhance team dynamics: 1) Team Charter, a document that defines the team's purpose, goals, roles, and strategies; and 2) RACI (Responsible, Accountable, Consulted, Informed) matrix, a table or spreadsheet that clarifies tasks and accountability. Since 2018, 10 teams and over 100 individuals have attended training sessions and 6 teams received personalized team consults. We describe these tools, present a formal analysis of quantitative results, and highlight next steps being taken in response to these findings.
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.
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