Last Friday, the SAS Health User Group (HUG) took place in Toronto. I am consistently in awe of this amazing group of
professionals… perhaps even over-awed to the point of intimidation, if I’m to
be honest. It’s amazing for me to listen to talks which bely such a
fundamentally strong grasp of statistics, health indicators and SAS
programming… and a little daunting when I’m on the agenda as well. It feels a
little bit like a young Luke Skywalker charging into battle with the wily Darth
Vader before he was ready. I think we all know what the outcome of trying to
play with the big boys before ones’ time can be. I was just hoping I would exit
the meeting with both of my hands – and my pride – still attached.
Fortunately, this group is as magnanimous and forgiving as
it is intelligent. I’ve always been received well despite my technical
shortcomings. Perhaps that’s because the agendas are consistently filled with
incredibly strong presenters who’s SAS skills easily compensate for mine. This
past Friday was to be no exception to this rule.
I led off the meeting with an overview of the new SAS VisualAnalytics product and I did my best to contextualize it for the health practitioners in
the room. The talk centered around fictional data of approximately 3 million
individuals with multiple data points and around 150 variables. The purpose of
the talk was to visually explore the data without excluding or sampling right
away with the goal of finding some trends – so matter how obscure – which could
be impactful upon the onset of renal disease in an older population of Type II
diabetes sufferers. I mentioned to the executive committee over lunch that the topic
was actually quite personal for me, as I recently lost a family member quite
suddenly due to complications from renal failure. It’s fair to say I wanted to
do the topic justice. I began my talk working with billions of correlations in
a basic matrix and worked down to some geo-mapping functionality to show the
ease and power of the product. Now I’m no expert – not even close! – but I’d
like to think that given the amount of questions which followed the talk, there
was enough interest generated to have make the topic worthwhile to bring
forward. I’m certainly grateful for the patience of the group as I wrestled
through some of the terminology and methodology behind the talk.
Our next presenters took the group in a totally new – and
welcome – direction. Yuriy Chechulin and Amir Nazerian of the Ministry of
Health detailed how they used advanced modeling techniques to identify highcost users of the healthcare system.
The objective of this research was to identify ways to ease the burden on the
health community in terms of financial investment and time, as well as to help
identify triggers and potential solutions to preventing negative health
outcomes in the early stages. I really loved this talk. Even as a
non-statistician, I could understand the principles behind the modeling
techniques used… and I’m always fascinated by the data which helps inform these
decisions. Once again the audience proved to be more than engaged with the
topic as they peppered both of the presenters with questions about other
potential applications for the model and inquiries around some of the
exclusions they had made. It was a shame to have to cut off the questions for
our break!
Upon our return, we had three tremendous guest speakers. SAS
Canada’s own Judy Orr Lawrence walked us through
some data cleansing and validation techniques in SAS Enterprise Guide. While
more of an ‘ad hoc’ approach to data cleansing, it remained a very intriguing
talk… especially for this long-time EG user. I’ll be giving a few EG talks
myself in the coming months and I certainly plan on stealing some of her
material (with permission, of course) for the talks. I love the way Judy
presents: accessible, thorough and with the ability to keep the topic very
high-level or dive very deep. As a frequent student in her classes I can tell
you with unbiased certainty that anyone would benefit from her tutelage.
Next up, Ellen Maki gave us a deep dive into how she used Bland-Altman bounds to work towards a new understanding of sleep apnea treatment.
Utterly fascinating. As I mentioned at the meeting itself, I’ve had sleep
consultations several times and I’ve received wildly different diagnoses on
each occasion. Ellen’s talk about the potential of taking future tests at one’s
home nearly made me weep with joy: those of you who may have had to experience
an over-night visit at a sleep clinic can attest that it is not necessarily the
most comfortable of experiences to say the least! Even more importantly, Ellen
implied that her data indicated quite strong and clear results in her study
which is certainly good news for the future diagnosis and treatment of this
very harmful sleep disorder. Her presenting style was extremely relaxed and
easy, and I do believe that everyone in the room benefitted from her
understanding of how she worked through her tests… and hopefully were inspired
for their own work as well.
Finally, the incomparable Ruth Croxford concluded the
meeting – in a mournfully abbreviated fashion – with a talk on using Perl expressions within her SAS code.
I don’t have enough positive things to say about Ruth. As the President of the
Executive Committee, she consistently finds great guest speakers (including
herself) and is just such a fantastic representative of the healthcare
community. I felt horrible that her talk was truncated due to earlier extended
question periods, in no small part because I’ve been fascinated by Perl
expressions for a long time and wanted to learn as much as I could about them.
In her brief time, Ruth did manage to convey a lot of information. She easily
moved through an introduction to Perl and also made it very simple to
understand just how they could be leveraged in SAS. She certainly had a few
people excited to try the procedure which allows you to do so!
All in all, the meeting was extremely successful. We had a
record number of registrations – nearly 120 people – and I’m willing to bet we
achieved a record for attendance as well. I give all credit to the fantastic
guest speakers and the compelling agenda. Thanks once again to all of our guest
speakers and to the Executive Committee who made it all happen! If you weren’t
able to attend, not to worry: you can always pick up the presentations on the
HUG website
or connect with us in the SAS Canada Community
I do
hope we’ll be able to deliver just as strong a meeting when the Health User
Group next meets in person on November 15th, 2013. In the meantime,
I’ll be headed to Quebec City for their user group meeting and I’ll be enjoying
a trip to San Francisco for SAS Global Forum at month’s end. I’m sure I’ll have
lots to say about both meetings, so stay tuned.
Until then…
Matt
ReplyDeleteAgree about this group. Very interesting to see data mining in healthcare.