Learn more about Dan Lidgard

Author Bio

Dan joined Health Catalyst as a data architect in November 2011. He started his career with the Boeing Company in Seattle, Washington. He moved to Utah in 1992 to experience the world class snow. He enjoyed 15 years with Intermountain Healthcare with the majority of that time as a supervisor and data architect on the data warehouse team. Dan has also been a Director of Systems Development at Myriad Genetic Laboratories and an Enterprise Data Manager at the University of Utah. He holds a Bachelor of Science in electrical engineering from Michigan State University.

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Keys to a Successful Health Catalyst Data Warehouse Platform and Analytics Implementation

We have found that many customers have similar questions about how the implementation process works when rolling out a Health Catalyst Late-Binding ™ data warehouse platform and analytics solutions.  So, we thought it would be useful to produce a document that we hope will answer the majority of these and other common questions. The keys for a successful Health Catalyst implementation are outlined step-by-step format.
Pre-step (most important): Identify key personnel resources needed on the health system side, 1) Implementation Planning, 2) Deploy Hardware, 3) Technical Kickoff Meeting with the Client and Health Catalyst Deployment Teams, 4) Access Source Data, 5) Install Platform, 6) Load Data, 7) Install Foundational Applications, 8) Install Discovery Applications, and 9) Install Advanced Applications
At the beginning of the project, Health Catalyst will begin a collaborative implementation planning process resulting in a timeline tailored to each project. Some projects can be accelerated, with the initial phase completed in 90 days.  Your health system will have questions specific to your organization and your circumstances. We are happy to answer those in person.

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What Does It Take to Develop a Clinical Data Mart in 90 Days?

Designing and implementing a data mart that fits into an enterprise data warehouse can be a very resource-intensive project taking considerable time. Health systems faced with this fact often compromise by bringing in portions of data sources or skipping entire systems wholesale. As time goes on, the maintenance of existing data marts becomes overly burdensome, consuming resources which can contribute to the avoidance of adding new sources of information. Quick data mart development and installation, combined with a low maintenance burden is now a requirement for health systems that want a true enterprise data warehouse. We recently developed a data mart based on the core clinical tables from the Cerner EMR in just 90 days . By exploiting years of health care data warehousing experience, we witnessed an almost perfect storm of events allowing us to accomplish this task.

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