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The healthcare industry generates an astounding amount of data. The total amount of global healthcare information surpassed 4,200 exabytes in 2025 and is growing at an annual rate of 63%. However, about 97% of hospital data goes unused, meaning that organizations are missing out on valuable insights and opportunities that could lead to better operations, more revenue, and improved patient outcomes.
In particular, organizations often struggle to unify clinical data with risk and claims data, leading to gaps in their understanding of performance. Healthcare data modeling provides a solution to this challenge by helping healthcare providers and payers view a patient’s journey simultaneously through both clinical and financial lenses.
FAQs about healthcare data modeling
Where does healthcare data come from?
Healthcare data comes from various discrete sources across the healthcare ecosystem. It is rarely uniform and can be structured, semi-structured, or entirely unstructured. Generally speaking, the main sources include:
- Electronic health records
- Medical devices and imaging
- Claims and billing systems
- Wearable and IoT devices, including remote patient monitoring tools, smart watches, and at-home medical devices
- Social Determinants of Health (SDoH)