Patrick Clark

Patrick Clark

Director Of Implementation Measures @ Health Catalyst

About Patrick Clark

Patrick Clark serves as the Director of Implementation Measures at Health Catalyst, where he has worked since 2021. He has extensive experience in project management and analytics, having previously held roles at Health Catalyst and Licking Memorial Health Systems.

Work at Health Catalyst

Patrick Clark has been employed at Health Catalyst since 2019. He initially served as a Senior Analytic Engineer for five months before transitioning to the role of Program Manager for Regulatory Measures in 2020. In 2021, he advanced to the position of Director of Implementation Measures. In his current role, he has designed an onboarding process that has significantly reduced the time to value for new team members. Additionally, he has implemented a scalable staffing model to effectively manage increasing project responsibilities.

Education and Expertise

Patrick Clark possesses extensive experience in healthcare analytics and project management. His expertise includes applying Agile principles to enhance team collaboration and reduce project timelines. He has worked closely with customers to develop population health strategies that align with value-based care contracts. His background in systems analysis and engineering supports his ability to manage complex projects and drive successful outcomes.

Background

Before joining Health Catalyst, Patrick Clark worked at Licking Memorial Health Systems as a Senior Systems Analyst from 1998 to 2004. He later served as a Mentor at Rev1 Ventures from 2018 to 2022. His diverse experience across different roles in the healthcare sector has contributed to his comprehensive understanding of healthcare systems and analytics.

Achievements

Throughout his career, Patrick Clark has served as a project manager and escalation point for key accounts, ensuring successful project execution. His initiatives at Health Catalyst, including the design of an onboarding process and the implementation of a scalable staffing model, have enhanced operational efficiency and team performance.

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