Work on the monograph is coming along well, and, as the title of this post implies, the end is finally in sight! After having changed many times, the outline and content are stable at eight chapters plus any required appendices. Five chapters have been written, two are in progress and
This summer was very productive. I was able to jump into the human factors literature, test out BPM suites, and get into the nuances of Swift (more than a few). All the while, I have been reflecting on designing clinical software. The really great thing is I have been able
Well, 2014 is nearly over, and it is time to start looking ahead to what next year might bring. For me, 2014 has been a milestone year. When EHR Science began in 2011, I had three main goals: connect with other HIT developers, learn new technologies, and discover new approaches
Since my last post about NoSQL data stores, I have been sporadically using the book Seven Databases in Seven Weeks (1) to explore NoSQL systems. This book has been a great guide to understanding how the various types of NoSQL stores differ and what each type brings to the game.
Over the past year, I have been watching for evidence that NoSQL data management solutions are making their way into healthcare. A few startups that use NoSQL data stores have contacted me, but otherwise news of healthcare applications has been scarce. The number of hits on the MongoDB post (Investigating
As the motto implies, EHR Science is about the design and implementation of clinical systems. Over the past two years, my personal explorations in architecture/design, discrete math, workflow and software development tools have lead me to search for underlying principles and precepts that could make EHR design less of an
Anyone who has worked solely with relational databases will likely find his/her first encounter with NoSQL data stores to be unsettling. Creating an ER diagram, normalizing tables, choosing primary keys, and setting relationships are all so ingrained in RDBMS users that it is difficult to separate the data modeling process