About the Strategic Leadership in DM Efforts (SLIDE)
In Spring 2025, NNPHI launched its pilot program of the Strategic Leadership in DM Efforts (SLIDE) training series. SLIDE is a cohort based, virtual training designed to enhance leadership, strategic project management, and stakeholder engagement skills among public health professionals involved in data modernization (DM) activities through the Public Health Infrastructure Grant (PHIG).
At the conclusion of the pilot program, our evaluation analysis showed that SLIDE participants gained knowledge across all modules (leadership, strategic planning, sustainability, and collaborative engagement), with average competency scores higher post-module than pre-module. Additionally, after sessions, 92% of respondents reported intent to take action. Examples of such action included identifying and engaging DM partners, defining and prioritizing goals, and using the tools and applying the approaches learned, specifically in strategic planning and action planning, and change management.
Utilizing the participant feedback and evaluation data from the SLIDE pilot, NNPHI has refined the training series to provide a more robust training program and peer-networking environment. SLIDE 2.0 is expected to begin in September 2025 for a second cohort of PHIG recipients to become champions of their data modernization work.
For a glimpse of the session content and learning objectives for SLIDE 2.0, please see the following below.
Session 1: Driving Organizational Value through Strategic Data Leadership
Learning Objectives
- Utilize Lean Portfolio Management (LPM) methodology to align organizational efforts around DM and articulate its strategic value
- Conceptualize data management as a discipline and DM as a steady journey toward maturity
- Build competency in leadership and change management to effectively communicate and champion DM across an organization
- Establish a collaborative cohort network that supports ongoing learning and strategic problem-solving
Session 2: Strategic Planning for Data Modernization
Learning Objectives
- Create a clear and actionable vision statement for DM efforts
- Develop specific strategic priorities, objectives, and key results to achieve the vision
- Learn 90-day action planning methodology
Session 3: Building Sustainable Data Infrastructure for Public Health
Learning Objectives
- Assess current data infrastructure
- Identify key requirements for sustainable public health data infrastructure, including data governance, interoperability, and integration
- Develop strategies for building and maintaining scalable data systems for public health
Session 4: Strategic Workforce Development for Data Modernization
Learning Objectives
- Identify essential workforce capabilities needed to support DM initiatives
- Learn strategies for building and maintaining informatics capacity within their teams
Session 5: Sustainable Funding Strategies and Responsible AI for Public Health Data Modernization
Learning Objectives
- Understand different funding mechanisms available for public health
- Learn approaches for braiding and layering funding streams to sustain funding for DM projects
- Explore the transformative potential of Artificial Intelligence (AI) in public health, understanding its strategic value, implementation pathways, and mechanisms governance
Session 6: Capstone Presentations & Wrap-Up
Learning Objectives
- Synthesize and articulate comprehensive DM strategies developed throughout the SLIDE program
- Critically evaluate peer projects through constructive feedback to refine and strengthen proposed DM strategies
- Establish a sustainable peer network for ongoing collaboration, knowledge sharing, and mutual support
Contact Us
For more information or questions, please contact Helen Batts at hbatts@nnphi.org.
This work is supported by funds made available from the Centers for Disease Control and Prevention (CDC) of the U.S. Department of Health and Human Services (HHS), National Center for STLT Public Health Infrastructure and Workforce, through OE22-2203: Strengthening U.S. Public Health Infrastructure, Workforce, and Data Systems grant. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by CDC/HHS, or the U.S. Government.