Tableau | Ambulatory Access Analytics

Healthcare systems and medical groups have been tackling access improvement initiatives to remove historically restrictive scheduling practices and reduce the time it takes to get an appointment. KPMG offers an access analytics platform built using Tableau that ingests historical scheduling data from any practice management system and produces dynamic dashboards to drive insights into unmet demand, latent capacity, and the associated opportunity.

There are multiple dashboards that have been developed to help you explore your scheduling data to see impacts of current schedule design and practices on your accessibility. Some examples include:

• Provider Schedule Optimization: Shows what physicians are doing in their schedule when they are not seeing patients, analyzes existing, templated time
• Provider Access Opportunity: Compares total available time on a schedule vs scheduled time; can help to identify sub-optimal scheduling practices
• Encounter Analysis: Shows what is going on with your encounters including what is driving cancelation rates by patient type or practice; provides a view by department/provider of what is happening with their schedules
• Utilization Analysis: Places providers into 1 of 4 quadrants based on their percent of time available vs percent of time filled; e.g., demonstrates who has reduced patient access because they offer very little time and are seeing few patients
• Provider Session Analysis: Shows session lengths across all practices; analyzes how a provider is structuring and using their sessions
• Provider Schedule Reports: Understand scheduling practices at an individual practice/ provider level and drill down to help inform template design

Often, redesigning templates and optimizing scheduling practices can improve patient access and give providers a better quality of life. With analytics to inform decision-making, your organization can take the guess work out of what is really driving access performance and begin to work toward sustainable change.