Health Systems
This is the second in a two-part series on the importance of measuring accuracy when it comes to provider data, and the challenges of doing exactly that. If you haven’t read the first post, you may want to start there. Here is that link. In our original post on the topic, Aaron Beach, Orderly’s…
This post kicks off a two-part series on provider data accuracy. Aaron Beach, Orderly’s VP of Data and Engineering, takes a technical look at one of the biggest challenges in healthcare data: how accuracy is actually measured. His deep dive explains why many industry accuracy claims don’t hold up under scrutiny. In a companion post,…
Imagine reaching out to a provider only to find their phone number is disconnected, their listed specialty is outdated, or they no longer practice at that location. These seemingly small inaccuracies cause big downstream problems: missed referrals, delayed care, failed marketing campaigns, billing rework, and more. Provider data powers every part of the healthcare…
Network leakage, or patient referral leakage, costs health systems 10% of their annual revenue on average. For many health systems and provider groups, this represents millions of dollars going elsewhere. While network leakage can’t always be avoided, it may be surprising that it can be addressed through process changes and data infrastructure. By using smart…
Patient access is at the forefront of efficient healthcare services. One key factor that underpins seamless patient access is accurate provider data. However, maintaining such data can be complex and resource-intensive, especially for health systems and provider groups. Here, we explore the barriers to patient access, how to address these barriers, and the potential benefits…
Accurate healthcare provider data affects patient experience, revenue cycle operations, and quality of care for health systems and providers.