Technical Sessions at This Year’s Healthcare Analytics Summit™ Offer New Advanced Topics
What you may hear or read about a few times in the lead up to the 2016 Healthcare Analytics Summit is the strong emphasis on the how in everything coming out of the conference, especially the breakout sessions. How was technology used to improve patient satisfaction scores by 32 percent? How was a clinical process changed to reduce CLABSI by 20 percent? Answering questions like these are how to achieve practical learning. It’s these key takeaways that all attendees will collect during their time at HAS 16.
The first two years of HAS featured a valuable array of learning opportunities, including the mainstay breakout sessions, which offered educational acumen and analytics case studies from leading healthcare institutions around the country. There will be more of this for HAS 16, but to fine tune the offerings, we listened to feedback from prior-year attendees and made a number of changes to enhance the sessions.
Introducing Technical Sessions
A considerable segment of HAS attendees are technical people, both IT and analytical, who’ve expressed their desire for more detailed sessions, where they can go deeper on the technical side of things. As a result, we have a technical track for the first time this year. People with more advanced IT or analytic skills can attend, peel back the details, and learn more of the how, whether it be technology or analytics.
The technical sessions comprise five advanced topics:
- FHIR’d up about Clinical Data Intelligence: Cleveland Clinic’s Real-Time Decision Support System
- Powerful Ways to Use Hadoop in your Healthcare Big Data Strategy
- Deploying Predictive Analytics: A Practitioner’s Guide
- Security Frameworks in Data Warehousing and Their Interplay with Healthcare Analytics
- Text Analytics: You Need More than NLP
Who Should Attend?
One way to look at who should attend the technical sessions is to consider the Healthcare Analytics Adoption Model:
- Level 8 – Personalized Medicine & Prescriptive Analytics
- Level 7 – Clinical Risk Intervention & Predictive Analytics
- Level 6 – Population Health Management and Suggestive Analytics
- Level 5 – Waste & Care Variability Reduction
- Level 4 – Automated External Reporting
- Level 3 – Automated Internal Reporting
- Level 2 – Standardized Vocabulary & Patient Registries
- Level 1 – Enterprise Data Warehouse
- Level 0 – Fragmented Point Solutions
The technical sessions are appropriate for organizations involved with, or about to enter, levels 6, 7, and 8. Predictive analytics is not an entry level subset of analytics, and Hadoop is not an elementary subject when talking about big data, so these sessions are more advanced. However, there may be conference attendees on the clinical or financial side who are more tech savvy and advanced in analytics, who may be interested in attending.
What You Can Expect
Among IT and analytic attendees, the technical sessions will have broad appeal. The curriculum will target the middle of a range that has “in the weeds” at one end and “high-level overview” at the other. With one hour per session, they will be deeper technically than a general session, but not up at a master’s or PhD thesis level.
Technical sessions will be smaller and more intimate to facilitate broader discussions with the presenters. Health Catalyst team members will lead four of the sessions because past-conference attendees responded very positively about how well they’ve taught. Also, many institutions can talk about how they’ve implemented programs and processes across their systems, but Health Catalyst talks across a broader perspective, having implemented these things among multiple healthcare systems.
Enhance Your HAS 16 Curriculum
With healthcare analytics, there are so many topics to think about—analytics, adoption, best practices, to name a few—and the technical sessions are a great way for attendees to delve a little deeper into advanced subject matter. Technical sessions run both Wednesday and Thursday during the 2016 Healthcare Analytics Summit. Whether you’re an analyst with IT skills, an IT person with analytics skills, or someone with a strong interest in either one, be sure to weave these sessions into your schedule.