2nd Annual HIMSS Blogger Meetup taking shape

We’ve got about 20 people signed up for the New Orleans meetup (click here to register or here to see who’s signed up so far). Looks like based on all the current feedback, Sunday night before the conference starts looks like the best time. Neil and Tim are helping to come with a venue and I’ll be tracking down last year’s attendees to see if they’re interested in dropping by. Here are some other HIMSS Blogger ideas we’ve come up with:

Jennifer Lubell at Modern Healthcare Online recently posted her nice article on AHIMA’s new privacy and security certification. She writes: In April, the American Health Information Management Association will offer a new certification aimed at credentialing the healthcare privacy and security industry. AHIMA essentially combined its Certified in Healthcare Privacy and Certified in Healthcare Security certifications, said a spokeswoman for the organization. The certification aims to reflect advanced competency in designing, implementing and administering comprehensive privacy and security protection programs in all types of healthcare environments and settings.

On Thursday, Jan. 25 2007, Department of Health & Human Services hosted the 3rd Nationwide Health Information Network (NHIN) Forum: Prototype Demonstrations and Business Models. I wasn’t able to make it, but one of our colleagues, Nainil Chheda, did attend and was kind enough to do a recap for us. Nainil (http://www.nainil.com) is a Knowledge Research Specialist at eClinicalWorks where he is responsible for ensuring the overall development of the product in compliance with the various healthcare standards (CCR, CDA) and certifications (CCHIT).

NIH’s Biomedical Computing Group is putting together a lecture on natural language computation (not to be confused with natural language processing). If you’re interested in attending, drop me a comment here and we can meet up there. The speaker, Dr. Lofti A. Zadeh, prepared the following abstract (see poster): What is meant by Computation with Information Described in Natural Language, or NL-Computation, for short? Does NL-Computation constitute a new frontier in computation?

If you’re writing healthcare apps in Java, take a look at Jasypt. Especially if you need to encrypt data in your databases. Here’s how the authors describe it: Jasypt is a java library which allows the developer to add basic encryption capabilities to his/her projects with minimum effort, and without the need of having deep knowledge on how cryptography works. Features: Provides easy encryption tools for little adoption effort.

I recently ran across Emmi Solutions (www.emmisolutions.com), which I was fascinated to learn was co-founded by a surgeon and a computer game designer (not exactly a common combo). What I liked about Emmi was that it facilitates physician-patient communication by providing “prescription-strength” multimedia programs to help patients understand what to expect before, during, and after a surgical or invasive medical procedure. As most of us who’ve been in this industry for a while intuitively get, the more a patient knows and understands about their care providers, their diagnoses, and their procedures, the better the patient’s overall health is likely to be.

Relational databases like ORACLE, SQL*Server, and MySQL are great at storing structured data in rows and columns and managing relationships across tables. Relational database are also more write-friendly than read-friendly (like searching). What that means is that vendors and developers often structure the tables and columns more to make it easy for them to write data into than for users to read data out of (because users are always more creative than we think they are).

It always amazes me when I find new or even seasoned managers that haven’t come across a situation where programmers wanted to use tools, techniques, or technology to improve their resume instead of solving the customer’s problems. This concept, which I call RDD (resume driven development), is very real and it’s actually a fairly widespread problem. In fact, RDD is so prevalent these days that people will actually choose Java over Perl because “Perl will not help my career”.

There are several types of directories that are useful in healthcare settings; the first is a directory of users and Microsoft Docmain Controller (DC), Active Directory (AD), and LDAP are the most common solutions. DC, AD, etc all help manage a list of users, their roles, and other identity management functions within an enterprise. Another common directory is a master person or master patient index (MPI). MPIs are very useful because it gives a single view of the patient (customer) population within an enterprise.

I ran across Picalo, an open source fraud detection platform, and thought it might be a great solution for those of us looking to build our own fraud detection systems in healthcare settings. Here’s how the authors describe it: Picalo is a data analysis application, with focus in fraud detection and data retrieved from corporate databases. It is also the foundation for an automated fraud detection system. Picalo is currently focused on data analysis for fraud and corruption detection.

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