Working Group

The UCLA Health Resident Informaticist Program – A Novel Clinical Informatics Training Program

Few opportunities exist for physician trainees to gain training in clinical informatics, an Accreditation Council for Graduate Medical Education (ACGME) -accredited, board-certified specialty. Currently, twenty-one (21) approved programs exist nationwide for the formal training of fellows interested in pursuing careers in this discipline. Residents and fellows in training have few avenues available to gain experience in clinical informatics, largely due to an already full curriculum.

23andMe: The Power of Genetic Information

What happens when you democratize DNA? 23andMe started 12 years ago with the belief that when you break down barriers to genetic information, you enable revolutions in healthcare and research. With the largest genotyped, phenotyped, consented and recontactable database of individuals in the world, we can do research in unprecedented ways. Find out how we are leveraging these capabilities in scientific discovery, therapeutics, and consumer product development.

The audience for this webinar are those who believe consumers will power the future of genetic research.
 

Extracting Critical Recommendations from Radiology Reports

Use of imaging technologies within healthcare delivery organizations has grown dramatically over the last decade, providing previously unavailable diagnostic and screening capabilities. At the same time, growth in the number of reports and images generated contribute to growing challenges to optimally use clinical information while not being overwhelmed by it. In addition to providing reports addressing questions posed by ordering providers, radiologists often identify unexpected incidental findings that may pose a significant health risk to the patient in the short or medium term.

Natural language processing for dietary supplement research

Natural language processing (NLP) techniques have been applied to investigate drug interactions and adverse drug events, but have limited applications to support dietary supplements research. The use of dietary supplements in the U.S. has dramatically increased in recent years, but our ability is currently limited to identify the potential interactions between dietary supplements and medications. Much related information is embedded in the unstructured data, such as biomedical literature and clinical notes.

The Web and the Noose: Social Media and the IRB

Informatics research using social media, such as Facebook and Twitter, is a new frontier. Issues of privacy, IRB oversight and regulation and consent are still very much being debated. Some of this work is qualitative and some is quantitative and many studies are both. The purpose of this panel and webinar sponsored by the Evaluation and People and Organizational working groups is to explore the topic of Human Subjects using this kind of data with a panel of presenters that include: 2 researchers in the field, 1 IRB representative, and an editor of a qualitative journal. 

Findings from CAGI, the Critical Assessment of Genome Interpretation

The Critical Assessment of Genome Interpretation (CAGI, \'kā-jē\) is a community experiment to objectively assess computational methods for determining the phenotypic impacts of genomic variation. The primary goals are to establish the state of the art, to show where future progress may best be made, to highlight innovations and progress, and to build a strong collaborative community. In the CAGI experiments, participants are typically provided genetic variants and make blind predictions of resulting phenotypes.

An open-access high performance computing system for developing research applications (apps)

Despite the promise of big data, little evidence has been generated for clinical practice with data driven systems. A new model for collaborative access, exploration, and analyses of integrated clinical data will be presented with a standard database, Medical Information Mart for Intensive Care - III (MIMIC III), for translational clinical research. The proposed model addresses the significant disconnect between data collection at the point of care and translational clinical research.

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