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Hospital EHR and Healthcare Analytics Google+ Hangout

Posted on May 20, 2013 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

Note: The following is the recorded video of the discussion about Hospital EHR and Healthcare Analytics.

What: A Google+ Video Hangout with John Lynn, Dana Sellers and James Kouba discussing Hospital EHR and Healthcare Analytics.
Date: Wednesday, May 22, 2013
Time: 12:00 – 12:30 p.m. EST
Location: About 5 minutes before the event, we’ll embed the video stream on this page or you can find the video stream on the Healthcare Scene Google+ page as well.

Details:
Mark your calendars to join the following healthcare experts as they discuss the latest happenings with hospital EHR, meaningful use and healthcare analytics.

The video will be available to view live on this page and the recorded video will be embedded on this page after the hangout as well.

If you have any questions you’d like to pose before or during the hangout, send them to @ehrandhit on Twitter and we’ll do our best to incorporate them into the discussion.

Dana Sellers - Encore Health Resources
Dana Sellers, Chief Executive Officer, Encore Health Resources
Dana Sellers is the CEO of Encore Health Resources, one of the fastest-growing consulting firms in the Healthcare IT industry, and one of Modern Healthcare’s “Best Places to Work in Healthcare” for two years in a row. Dana has more than 25 years’ experience in healthcare, technology, and consulting. She works with healthcare providers across the U.S., helping them bring about positive change through improved processes, enabling technology, and the insights that come from business intelligence and health analytics. Dana has assisted both small and large provider organizations with strategic planning, has managed large clinical transformation projects, and has served as CIO for an academic teaching hospital and for a large integrated delivery network.

Dana has broad experience in healthcare and information technology. Before founding Encore in January 2009, Dana was President and Chief Operating Officer of Healthlink, which at the time was the largest privately-held, provider-focused healthcare information system consulting firm. When IBM acquired Healthlink, Dana served as a Partner in IBM’s Global Business Services organization and leader for the U.S. Healthcare Provider team.

Dana’s career has also included leadership roles in DuPont Healthcare Products and Trinity Computing Systems.

Dana is involved in healthcare and healthcare technology at a national, state and local level. Dana has served on the Board of the College of Healthcare Information Management Executives (CHIME), the CHIME Foundation, and the CHIME Education Foundation. She is committed to improving the health of her local community, as well, and is a past Chair of the Board of Healthcare for the Homeless in Houston, where she lives.

Jim Kouba - Encore Health Resources
James Kouba, IT Strategic & Advisory Services, Encore Health Resources
Jim brings Encore nearly 30 years’ experience in designing and delivering IT solutions, including over 25 years of data modeling experience and 20 years in the healthcare industry. He is recognized as an excellent communicator and is effective in large corporate environments as well as in smaller, entrepreneurial settings. Jim has engineered numerous enterprise and warehouse, patient-oriented data models for healthcare, including a healthcare-provider industry model. He has extensive healthcare industry experience covering analytics, business intelligence, systems integration, systems operations, and data integration.

How Do You Improve the Quality of EHR Data for Healthcare Analytics?

Posted on May 8, 2013 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

A month or so ago I wrote a post comparing healthcare big data with skinny data. I was introduced to the concept of skinny data by Encore Health Resources at HIMSS. I absolutely love the idea of skinny data that provides meaningful results. I wish we could see more of it in healthcare.

However, I was also intrigued by something else that James Kouba, HIT Strategist at Encore Health Resources, told me during our discussion at HIMSS. James has a long background in doing big data in healthcare. He told me about a number of projects he’d worked on including full enterprise data warehouses for hospitals. Then, he described the challenge he’d faced on his previous healthcare data warehouse projects: quality data.

Anyone that’s participated in a healthcare data project won’t find the concept of quality data that intriguing. However, James then proceeded to tell me that he loved doing healthcare data projects with Encore Health Resources (largely a consulting company) because they could help improve the quality of the data.

When you think about the consulting services that Encore Health Resources and other consulting companies provide, they are well positioned to improve data quality. First, they know the data because they usually helped implement the EHR or other system that’s collecting the data. Second, they know how to change the systems that are collecting the data so that they’re collecting the right data. Third, these consultants are often much better at working with the end users to ensure they’re entering the data accurately. Most of the consultants have been end users before and so they know and often have a relationship with the end users. An EHR consultant’s discussion with an end user about data is very different than a big data analyst trying to convince the end user why data matters.

I found this to be a really unique opportunity for companies like Encore Health Resources. They can bridge the gap between medical workflows and data. Plus, if you’re focused on skinny data versus big data, then you know that all of the data you’re collecting is for a meaningful purpose.

I’d love to hear other methods you use to improve the quality of the EHR data. What have you seen work? Is the garbage in leads to garbage out the key to quality data? Many of the future healthcare IT innovations are going to come from the use of healthcare data. What can we do to make sure the healthcare data is worth using?