Data Storyteller

Do you play a key role in gathering, analyzing, and visualizing data at your health center? This HITEQ webinar taught about how to use our Health Center Dashboard Design Guide, a comprehensive guide to user-centered dashboard design for health center staff. Using this guide, you and your team can develop dashboards that enable data exploration and use by making more informed design decisions, moving beyond the defaults.

Having rapid access to data in health centers is critical to managing clinics, using operational data to improve care, and reporting quality measures. Quality, accessible data in health care can do more than feature in reports and accountability systems: effective communication of information can improve quality of care, alignment to evidence-based care principles, and data-informed decision making. Charts, graphs, maps, and other data visualizations play a key role in making information accessible. Visualizations make the patterns in large datasets rapidly apparent, showing when numbers are going up or down, performance compared to goals, comparison between patient groups, and more. The purpose of this resource is to provide a comprehensive guide to user-centered dashboard design for health center staff.

Many health centers struggle to reap the benefits of technological advancement and investments in health information technology (health IT), while others embrace them and reap rewards. Interoperability is one such example; requiring health centers assess systems, relationships, and implementation.

There are keys to successful interoperability implementation for which health centers must develop processes, stand up infrastructure (within the system, internally and externally, and organization), and then take action.

Process refers to structured processes, policies, and procedures within the health center.

Infrastructure refers to structural capacity and ability within the health center’s technology and staffing structure.

Action refers to full implementation to the point of active and ongoing use and engagement.

This scorecard encourages health centers to consider their processes, infrastructure, and action in a number of key areas. Each area key to interoperability are to be self-graded on a scale of 1 through 5, where 1 is poorly or not yet developed and 5 is well developed. Health centers can also use this to guide discussions and monitor progress over time.

So, you’re not a statistician? Not a data scientist either? Great! This webinar series is for the data creators, data generators, data users, data reviewers, and others who work with their health center data each day. If you’re a data lover and you know the information you have in your health center has an important story to tell, this series will provide you with the tools and techniques to create and share insights that will drive genuine change in your health center. Fostering a data-driven culture links directly to improvements in patient care, staff and provider satisfaction, and business imperatives, allowing us to make meaning out of our daily data demands.

Session 5 - Applying Data Viz in Your Clinic
This final session will be all about applying data viz best practices in your clinic every day. You’ll have the opportunity to submit your data viz questions and challenges specific to your setting and hear from experts about data viz in health care.

So, you’re not a statistician? Not a data scientist either? Great! This webinar series is for the data creators, data generators, data users, data reviewers, and others who work with their health center data each day. If you’re a data lover and you know the information you have in your health center has an important story to tell, this series will provide you with the tools and techniques to create and share insights that will drive genuine change in your health center. Fostering a data-driven culture links directly to improvements in patient care, staff and provider satisfaction, and business imperatives, allowing us to make meaning out of our daily data demands.

Session 4 - Data Viz Best Practices
It’s time to learn how to apply the concepts covered in this series-- from building better graphs to designing more meaningful dashboards, this session is going to walk through best practices, before and afters, and more so you leave knowing the best practices that you should apply to your next data project.