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
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
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
After enduring the usual software development delays, I am moving ahead with the data store evaluations mentioned in the post Databases a la Carte. There are three immediate goals. The first is obtaining a deeper knowledge of MySQL, which is more or less a practice-makes-perfect situation. Thus far, I have