Dan Lowder

Analytics, VP

Dan Lowder joined Health Catalyst in December 2013. Prior to coming to Health Catalyst, Dan was a Business Intelligence Engineer at the Church of Jesus Christ of Latter Day Saints, and before that a data architect at Intermountain Healthcare. Dan has a degree in Computer Information Systems from Regis University in Colorado; as well as an MBA from the University of Utah.

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Hiring Top Healthcare Analytics Talent: Five Best Practices

COVID-19 has escalated healthcare’s decision-making demands, reinforcing the industry’s need for highly skilled analytics team members. As a result, health systems face mounting pressure to hire the best-suited analytics talent in a timely manner and with minimal burden on existing team members.

Five proven inclusive strategies will help hiring managers efficiently build an analytics team that can adapt to healthcare’s shifting environment and also fit within an organization’s culture:

1. Open positions to remote employees and conduct interviews via video conferencing.
2. Insert “tollgates” into the hiring process.
3. Use scenario-based role play to assess many competencies concurrently.
4. Assess cultural fit.
5. Follow up with and provide feedback to all candidates.

Healthcare Dashboards vs. Scorecards: Use Both to Improve Outcomes

Healthcare IT leaders tend to debate over which tool is best for measuring and sustaining outcomes improvement goals: healthcare dashboards or scorecards. But using both tools is the most effective approach.

“Scoreboards” take advantage of the high-level, strategic capacity of scorecards and the real-time, operational functionality of dashboards. But using both effectively requires a thorough understanding of the who, what, when, and how of each tool.

• Who: Scorecards are for leaders; dashboards are for the frontline.
• What: Scorecards are strategic; dashboards are operational.
• When: Scorecards are daily, weekly, or monthly reports; dashboards are real-time or near real-time.
• How: Scorecards enforce accountability and provide actionable data; dashboards provide drill-down capability and inform root cause.

Despite the different but equally important aspects of each tool, they best support outcomes improvement when used together.

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