Envisioning Our Future Partner in Health Care: Could it be the EHR?
Dr. Kevin B. Johnson, MD, MS, FAAP, FACMI, FAMIA, FIAHSI is the David L. Cohen University Professor of Biomedical Informatics, Computer and Information Science, Pediatrics,…
Course Category: Medical Informatics
Medical Informatics: Quality Improvement
At the end of this session, learners will be able to define quality, discuss the relevance of each IOM quality domain to a specific project…
Machine Learning in Medicine
At the end of this session, learners will be able to identify common machine learning methods used in medicine, summarize the barriers facing adoption of…
Medical Education and Thinking in the Age of the EHR
At the end of this session, learners will be able to identify EHR functions that may affect trainee education, describe medical education theories relevant to…
Information Retrieval and Standards
At the end of this session, learners will be able to review information retrieval and standards, including understand the concept, code, and terms. Speaker: Jason…
Capacity Building
At the end of this session, learners will be able to define capacity building and its relevance to clinical informatics, demonstrate an aptitude for local…
Public and Population Health Informatics
At the end of this session, learners will be able to describe the functions of public and population health, summarize the potential effects of informatics…
Medical Informatics: Ethics and Unintended Consequences I
At the end of this session, learners will be able to explain the importance of adequate security measures for a digital health care system, discuss…
Medical Informatics: Project and Change Management
At the end of this session, learners will be able to understand basic terminology of project management, understand the triple constraint of project management, identify…
Clinical Informatics: Ethics and Unintended Consequences II
At the end of this session, learners will be able to explain the reasons for EHR-related unintended consequences, demonstrate ways to monitor and mitigate unintended…