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Author Bio

Dan Hopkins

Dan Hopkins joined Health Catalyst in June of 2012; most recently, he worked for Frederick Memorial Hospital as a Senior Data Solutions Architect creating dashboards related to nursing sensitive indicators and patient satisfaction. His other career highlights include roles at the University of Utah as Senior Data Architect, Senior Data Analyst and Senior Business Analyst, Iomega as a Senior Oracle Applications Analyst, Hunt Oil in Dallas, Texas as an IS Project Manager and Senior HRIS Analyst and Mirage Resorts in Las Vegas as Compensation/HRIS Manager, Senior Financial Analyst and Assistant Executive Hotel Manager.

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Ann Tinker, MSN, RN
Dan Hopkins

Transforming Healthcare Analytics: Five Critical Steps

By committing to transforming healthcare analytics, organizations can eventually save hundreds of millions of dollars (depending on their size) and achieve comprehensive outcomes improvement. The transformation helps organizations achieve the analytics efficiency needed to navigate the complex healthcare landscape of technology, regulatory, and financial challenges and the challenges of value-based care.
To achieve analytics transformation and ROI within a short timeframe, organizations can follow five phases to become data driven:

Establish a data-driven culture.
Acquire and access data.
Establish data stewardship.
Establish data quality.
Spread data use.

Dan Hopkins

How Healthcare Visualizations Can Improve Organizational Buy-In

Healthcare visualizations can be used as a spark to help the leaders of health systems move from a passive understanding of the data to active support of data-driven quality improvement recommendations. But simply showing the visualizations won’t be enough. Instead, those who are using the healthcare visualizations need to be taught, shown, and involved to fully understand their value and drive organizational change.
We use a three-tiered approach to help health systems gain better buy-in for their data-driven quality improvement recommendations:  1) we form teams and teach how to overcome organizational barriers, 2)  we show healthcare visualizations to better understand the data, and 3) we involve the teams and answer their questions. It works like this…