Working Group Webinar Library

Over the course of the COVID-19 pandemic, the UC San Diego Health clinical informatics team set the pace with the world's first publication describing EHR optimization for COVID, the first imaging AI tool in production to help identify COVID pneumonia, the first pilot of smartphone exposure notification in California, and the first health system in the United States to issue digital vaccine records. This was followed by several NEJM articles with the first real-world effectiveness study of the COVID vaccines (March 2021), followed by the first United States demonstration of waning effectiveness in healthcare workers (September 2021), prompting the CDC to recommend booster shots for those at high occupational risk. In this talk, learn the stories behind these accomplishments and how the pandemic catalyzed the UC San Diego Health journey to becoming a learning health system.

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.

A journal club and conversation with Deborah Lauseng, Brenda Linares, Megan von Isenberg, Kristine Alpi and invited guests from the Medical Informatics Caucus of the Medical Library Association to discuss " Library involvement in health informatics education for health professions students and practitioners" Watch the Recording Presenters

Dr.Brian S. Alper Alper presented summaries of recently published RCT evidence and current guideline recommendations regarding anticoagulation for patients hospitalized with COVID-19. Watch the Recording Presenter

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.