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…
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By William Hersh MD – Have we passed the high point of technology being seamless and easy to use? I recently had to give a presentation to faculty that included showing a few slides, and I assumed I could just bring my MacBook Pro, with its HDMI port…
By William Hersh MD – During the HIMSS conference, the ONC and CMS each dropped a Notice of Proposed Rule Making (NPRM) concerning functionality, interoperability, certification, and others aspects of EHR use.
By William Hersh MD – I always use my last posting of the year to this blog to reflect on the year past. As I have noted each year, this blog started at the time of a major transformation for the informatics field, namely the HITECH Act.
By William Hersh MD – Earlier this year, I submitted a response to a NIH Request for Information on a draft of their Strategic Plan for Data Science. My main concern was that while there was nothing in the report I did not agree with, I believed there needed to be more attention to the science of data science.
By William Hersh MD – My recent posting describing my updated study of the health IT workforce shows that this is a great time to work in operational health IT and informatics settings.
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 – The era of meaningful use came to a relatively quiet end this summer with the release of the Final Inpatient Prospective Payment Systems rule by CMS this past August.
By William Hersh MD – I first entered the informatics field in the late 1980s, at the tail end of the first era of artificial intelligence (AI) in medicine. Initial systems focused on making medical diagnoses using symbolic processing, which was appropriate for a time of relatively little digital data.