Patient data is like oil for healthcare payers, fueling every aspect of their operations. But research shows that a lack of data sharing between payers and providers impedes risk-sharing initiatives – and ultimately harms all parties.
This article explores how healthcare APIs can help them solve this problem – improving patient care, risk management, and health plan performance in the process. But before we explore how that works, let’s establish exactly what we mean by “API”.
An Application Programming Interface (API) is a “bridge” between two computers, allowing disparate software applications to interact. They allow data and functionality to be shared between systems without the need to understand complex internal workings – which is vital for healthcare interoperability.
The ability to share, receive, and store information between healthcare systems and software applications is vital to deliver robust, timely patient care. Imagine if you had to wait four hours every time you needed to access a patient’s medical charts or view scans; it would bring the entire operation to its knees.
This ability to move data between systems is known as “healthcare interoperability” and it is one of the most persistent challenges faced by modern providers. There are multiple factors which make interoperability difficult, but the primary ones are:
The net result? Healthcare providers must simultaneously deliver fast and fluid data flows while maintaining robust security across a complex and often-vulnerable IT system.
APIs solve this problem by enabling interoperability that is limited to specific accesses. They define the methods and data formats that applications can use to request and exchange information, streamlining integration and enabling the creation of complex, connected systems. Today nearly three-quarters of providers use APIs, but their use is also expanding to unlock more effective collaboration between providers and healthcare payers.
Sharing data between patients and payers is essential for two core reasons:
Providers often need data to assess whether a patient’s care will be covered – but they need it fast. Imagine a scenario where a patient needs urgent surgery, but delays occur because the provider cannot quickly verify insurance coverage or treatment pre-authorization. These delays can compromise care quality, increase costs, and frustrate patients.
Payers need access to claims files and HCC codes to undertake a range of important tasks:
All of which seamless data sharing a major priority – so why is this still so rare?
The relative lack of interoperability between healthcare providers and payers can be explained in three ways:
However, each of these challenges can be solved with the right technology – and Inferscience has embedded it all within a single solution.
HCC Assistant is an innovative tool that uses natural-language processing (NLP) to streamline risk adjustment workflows and enable more effective collaboration between healthcare providers and payers:
Want to explore how it helps the average organization increase risk adjustment factor (RAF) scores by 35%?