By William Hersh MD – In the last decade or so, a number of new names have emerged for the kinds of activities historically studied, disseminated, and taught by those who work in biomedical and health informatics. Each of these areas has emerged as a “hot topic” in biomedicine and healthcare, with resulting…
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By William Hersh MD – I have written over the years about the need for all who work in biomedical and health informatics to have appropriate knowledge and skills in data science, machine learning, artificial intelligence, and related topics. I am now excited to announce that our OHSU Biomedical Informatics Graduate Program is launching a new course in…
By William Hersh – One of the most highly viewed posts of this blog is a 2015 posting, What is the Difference (If Any) Between Informatics and Data Science. One critique I have had of data science is the focus of most work on only showing prediction and not implementing prescription.
By William Hersh MD – Data Science is a broad field that intersects many other fields within and outside of biomedicine and health, including biomedical informatics. Data science is certainly an important component of research and educational programs in…
By William Hersh MD – Exactly 20 years ago, I organized a panel at the American Medical Informatics Association (AMIA) Annual Symposium that attracted so large an audience that the crowd spilled out of the room into the hallway.
By William Hersh MD – Over the last decade, I have had the fortunate opportunity to be involved in two efforts to develop widely available curricular resources in health information technology and data science.
By William Hersh MD – Like many academic health science universities, my institution has undertaken a planning process around data science. In the process of figuring how to merge our various data-related silos, we tried to look at what other universities were doing.
By William Hersh MD – One widely accepted definition of Big Data is that it entails four “V”s: volume, velocity, variety, and veracity. In other words, Big Data is defined by there being a great deal of it (volume), coming at us rapidly and continuously (velocity), taking many different forms and types (variety), and originating from trustworthy sources (veracity).
By Sarianne Gruber – In a recent conversation with WPC Healthcare’s Chief Data Scientist, Damian Mingle shares how he developed an algorithm for detecting West Nile disease, which will be presented in Sri Lanka at the Global Public Health Conference in December 2015.