Data is also a huge part of the Quality and Process Improvement (QPI) program at Piedmont. This program is designed to teach Lean Six Sigma concepts to leaders throughout Piedmont for the purpose of reducing costs and improving outcomes. Leaders receive a certification at the end of the course after completing a capstone project to redesign or implement new processes that show statistically significant improvement in a particular area where they have influence. The infrastructure we’ve built makes it possible for many of these leaders to measure the performance of their initiatives.
I think the next place where data will have a big impact on healthcare is with more advanced predictive analytics that get integrated back in to the electronic healthcare record system. We’ve already started doing some of that work as it relates to producing risk scores for central line infections and predicting heart failure. The future looks bright, and I’m excited to be a part of it.
Q: What has been the most significant impact Tableau has had on your career?
Jackson: I spent six years as a generalist at KPMG and finally started acquiring some deep experience in healthcare when I joined Piedmont. But I really wasn’t sure what I wanted to be doing for the rest of my career. Tableau gave me that clarity and changed my life. I’m so happy that I discovered it and thankful for all the wonderful people I’ve met on this new journey in data visualization. Tableau is the reason I love what I do.
Q: What kinds of data sources are you using at Piedmont Healthcare?
Jackson: The electronic healthcare record system (Epic) is our most significant source of data for Tableau. But we also touch pretty much everything you can think of, like data from patient surveys, human resources, supply chain, IT service desk and third-party market share services.
Q: Your Quantified Self Career Bio has over 48,000 views on Tableau Public. Tell me about why/how you created the dashboard.
Jackson: At the time, I really wanted to get into the IronViz competition, and one of the feeder competitions was about “quantified self.” I didn’t have a Fitbit or any other self-improvement data readily available, so I thought about quantifying the experiences that led to where I was in my career. I had been asked by several people about my background, and I figured it was a good way to kill two birds with one stone. Jeffrey Shaffer trumped me with his excellent trumpet viz, so I only managed to achieve one of my goals. If I was going to lose, I’m glad I lost to Jeffrey. He is certainly one of the best members in what is already an amazing Tableau community.
Q: Who inspires you in the Tableau world? Blogs, people, other?
Jackson: I’ve already mentioned Jeffrey as one of my inspirations. I actually learn from everyone in the community. If I had to select a few in particular, my short list would include:
Nelson Davis – An all-around great human being. His passion for telling stories with data is contagious, and I’m glad to call him a friend.
Ken Black – Probably my favorite Tableau blogger to read. His posts tend to be on the longer side, but he brings so much of his personal life into his posts that it keeps me reading.
Chris DeMartini – This guy blows my mind with his mastery of math to produce beautiful network visualizations. You can find a lot of his posts here.
Curtis Harris – Curtis has a knack for eye-popping visualizations. Plus, I get to see the professional side of his work because he builds stuff for Piedmont too. Here is his blog.
Alexandria Duke – I’ve thought several times that Alex would get into the Iron Viz competition. She has incredible attention to detail and can pull off a lot of very technical stuff. She is also such a kind person and one of the most encouraging people in the Tableau community. You can check out her blog here.
Q: What would you like to see added to Tableau in future releases?
Jackson: More enterprise features for sure – first and foremost, a standalone analytics database and ETL tool. I’d also like to see simple IFTTT like automation features, server side story creation for consumers (not developers) and Facebook-like social collaboration.
Q: How do think ubiquitous data will change healthcare?
Jackson: I see it happening already. Instant access to data means reduced cycle time for decision making. You can often achieve zero-latency development with a tool like Tableau, meaning that you can walk into a kick-off meeting and walk out with a working prototype dashboard because the data is at your fingertips ready to be molded into something beautifully useful.
This is just the start. I think that one day, our patients will be consumers of the analytics that we provide. The patient will walk into a doctor’s office and be presented with a touch-screen device that plots their progress in achieving wellness goals compared to their peer group. Data visualization will change the way we communicate with patients.
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