CDC Public Health Informatics Fellowship 2019-21 Applications are open now!

Applications for CDC’s Public Health Informatics Fellowship Program (PHIFP) are open August 6, 2018- November 5. 2018. PHIFP provides on-the-job training for doctoral- or master’s-prepared professionals. While working in CDC programs to enhance the agency’s informatics workforce, fellows help state and local health departments and international public health agencies solve complex public health informatics challenges. They apply expertise in information science, computer science, and information technology to address current and future informatics needs.

For more information, visit the PHIFP website. For questions about PHIFP, send an email to PHIPF@cdc.gov.

Richesson to teach AMIA/DCHI 10X10 Distance Learning Course

The Duke Center for Health Informatics and Rachel Richesson, an associate professor in the Duke School of Nursing and noted informaticist, will be teaching an online course, Data Standards for Learning Health Systems, for 10 weeks, starting on September 17, 2018.

The course is part of the American Medical Informatics Association (AMIA) 10×10 Virtual Courses program.  A key part of this program is offering curricular content from existing informatics training programs through online, virtual classes.

The course will explore the concept of learning health systems and closely examine the specific data standards required to support the data exchange and re-use in this context. Students will have an opportunity to define a clinical question and the various standards that can support the application and evaluation of evidence in a health care setting.

Visit the AMIA website for more information, including cost and online registration

Pencina named Vice Dean for Data Science and Information Technology for School of Medicine

Dean Mary Klotman announced today the appointment of Michael Pencina, PhD, to the position of vice dean for data science and information technology for the Duke University School of Medicine. Dr. Pencina will begin his service effective immediately.

Currently a professor of Biostatistics and Bioinformatics at Duke University, Dr. Pencina has also served as director of Biostatistics at Duke Clinical Research Institute (DRCI).  In his new role as vice dean, Dr. Pencina will be a senior member of the dean’s leadership team, responsible for developing and implementing quantitative science strategies as they pertain to the education and training, and laboratory, clinical science, and data science missions of the School of Medicine.  He will lead the School’s IT strategic direction and investments, working in collaboration with the vice presidents and chief information officers of Duke Health and Duke University’s Office of Information Technology.

Dr. Pencina received his PhD in Mathematics and Statistics from Boston University. He joined the Duke faculty in 2013. Prior to joining Duke, Dr. Pencina served as an associate professor in the Department of Biostatistics at Boston University and the Framingham Heart Study and as director of Statistical Consulting at the Harvard Clinical Research Institute.

Fall 2018 Informatics Seminar Series

 

Seminar Schedule

The Informatics Research Seminar Series is sponsored by Duke University and a collaboration with UNC-Chapel Hill, NCCU, UNC-Charlotte, and ECU. This series explores key areas in Health Informatics and include research results, overview of programs of research, basic, applied, and evaluative projects, as well as research from varied epistemological stances.

The Fall 2018 Informatics Seminars Series will begin on August 29th at 4:00-5:00pm. A list of the dates for all of the twelve seminar presentations can be found here.

If you have any questions about the upcoming seminars please contact Pegeen Ryan-Murray at pjm15@duke.edu.

Please see our 2018 page for the Spring 2018 archived seminars.

DeCart Data Science for the Health Science Summer Program, University of Utah

DeCart Data Science is a new  Health Science summer school program at the University of Utah beginning June 28, 2017 .

The program is a series of two and a half day courses including, rule-based NLP, machine learning NLP, data visualization, bioinformatics with Galaxy and predictive analytics. This will be a hands-on program using iPython notebooks.

For more information see, DeCART Data Science for the Health Science Summer Program, University of Utah