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.
This webinar is a one hour event to help answer questions about opportunities in the new clinical informatics fellowship. With the recent ACGME accreditation of a two-year fellowship at many programs around the country, many questions remain about the current state of the fellowship and the future.
Patient care doesn’t take place at a single site nor is it provided by a single medical specialty. Complex care involves numerous providers, including nursing, collaborating over time which requires the ability to exchange patient information that can be integrated into the health record to increase knowledge.
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.
Please join SPC Neil Sarkar and AMIA’s VP of Education and Academic Affairs Jeffrey Williamson as they discuss the upcoming 2017 Annual Symposium. AMIA staff will also be sharing some tips and tricks for navigating the symposium.
After participating in this activity, the learner should be better able to:
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 (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.
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.
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.
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.