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In this session, Emma Rourke, Director of Health Analysis and Pandemic Insights at ONS, outlines how the organization leveraged large-scale linked administrative data assets alongside ambitious survey data collection, including wide scale biological sampling, to offer unique evidence and insights that have informed the UK's pandemic response. Emma will detail how ONS stood-up the gold-standard longitudinal Coronavirus Infection Survey (CIS) in April 2020, offering trusted regular estimates of Covid-19 infection and immunity across all four nations of the UK.

Dr. Andrew King from the University of Pittsburgh School of Medicine presented his work on the Simple EMR System, a "rapidly deployable and readily customizable electronic medical record (EMR) user interface for supporting laboratory-based research studies of EMR design and usability."" It is written in Python, and is freely available under the GPL-3.0 License.

Demonstrating the power of the open source community, Martijn Schumie coordinated a group of 32 OHDSI (Observational Health Data Science Informatics) collaborators to participate in the HADES (Health Analytics Data-to-Evidence Suite) Unit-Test-A-Thon as a means to introduce new community members to HADES code and improve the overall coverage of unit tests within HADES. He presented a background on OHDSI - the tools, ecosystem, and community - and described how he was able to make the Unit-Test-A-Thon such a success.

Glen Coppersmith discussed a case study around suicide risk prevention and highlighted the possible utility of looking outside the healthcare system for additional information. He looked into a few interesting findings from his own market research, which included a few unexpected results.

Lisiane Pruinelli PhD, MS, RN, FAMIA present her research on The Potential of Big Data Science to Address Complex Health Conditions.

An overview of the 25 by 5: Symposiumo Reduce Documentation Burden on US Clinicians by 75% or less by 2025 from Sarah Rosetti, PhD, RN and Trent Rosenbloom, MD, MPH, FACMI, FAMIA.

Nursing Informatics Working Group leaders Dr. Judy Murphy and Dr. Karen Dunn-Lopez sat down with AMIA CEO Tanya Tolpegin and AMIA Board Member Susie Hull to discuss how NIWG can have the biggest impact on the future of nursing.

Anna Ostropolets, MD, PhD Candidate presents "Data Consult Service Generating New Clinical Evidence at the Point of Care.

The widespread adoption of Electronic Health Records (EHRs) has enabled the use of clinical data for clinical research and practice. Since a significant portion of relevant patient information is embedded in clinical narratives, natural language processing (NLP) techniques such as information extraction have become critical for using EHRs in clinical research. Meanwhile, encoding entire EHR data in a patient representation has shown promising results in predictive modeling, and could help clinical decision making and facilitate translational research. This talk will feature clinical NLP methodologies and applications, and discuss why learning better representations from EHRs is crucial for clinical and translational research.