Case Studies

A multidisciplinary physical medicine organization discovered that the reporting delivered from their practice management system offered limited information and was frequently incorrect. They also lacked an understanding of their metrics which slowed their ability to grow the practice. They engaged Practical Data Solutions to steer them towards insightful and accurate analytics focused on physician productivity.

A southern health system was faced with a cumbersome and ineffective payer contract and reimbursement analysis process. Working with the team at PDS to implement PDS Contract Analyzer, they were able to easily quantify the full financial impact of proposed fee schedule changes while also anticipating potential risks in the future.

A specialty clinic with over 60 providers was manually building physician productivity dashboards. By collaborating with PDS, they were able to automate dashboard production, deliver improved visualizations, and provide physicians and leadership quick and secure access to reports.

A Regional Hospital found themselves challenged to successfully blend and report on data from numerous disparate data sets to produce accurate and insightful Provider Productivity reports. PDS DASH now automates generating their Provider Productivity reports, and these dashboards are seamlessly refreshed and updated monthly, eliminating manual errors.

An understaffed business intelligence department at a regional OB/GYN group needed to create and distribute reports for various providers and practices but lacked the time and resources to do so accurately or efficiently. They leveraged PDS DASH to automate the creation of accurate, monthly physician productivity reports while streamlining report distribution to over 80 providers regionally.

An Academic Medical Center struggled to compare its Patient Access performance against peer organizations’ benchmarks. Using PDS iMPower’s Patient Access module, the organization gained powerful capabilities to standardize and analyze their scheduling data blended from two different systems.