What Data Delays Are Costing Healthcare — And Its Patients

Why It Matters

Timely data unlocks cost savings, improves patient outcomes, and strengthens fraud prevention, making it a strategic priority for payers and providers.

Key Takeaways

• Only 43% of US hospitals achieved full interoperable exchange in 2023
• Real‑time data could cut $90 billion in improper payments annually
• Timely NEMT data reduces missed appointments by 37%
• CMS ACCESS model rewards outcomes instead of fee‑for‑service
• Delayed data hampers fraud detection, care coordination, and benefit design

Pulse Analysis

The health‑care ecosystem is increasingly data‑driven, yet the majority of information still arrives after the point of care. In 2023, the Office of the National Coordinator for Health IT reported that just 43% of hospitals engage in the full spectrum of interoperable exchange—sending, receiving, finding, and integrating patient data. This gap means clinicians often lack critical external records, limiting their ability to make informed treatment decisions and perpetuating inefficiencies across the care continuum.

Financial implications are stark. CMS estimates improper payments of $37.39 billion in Medicaid, $28.83 billion in Medicare fee‑for‑service, and $23.67 billion in Medicare Advantage for FY 2025—totaling roughly $90 billion annually. Real‑time utilization data can flag eligibility mismatches, prevent services to deceased or out‑of‑state members, and curb fraud, waste, and abuse before claims enter adjudication. In the non‑emergency medical transportation (NEMT) space, timely data has been shown to cut missed appointments by 37%, directly improving access for vulnerable populations.

Policy and technology are converging to address these delays. CMS’s ACCESS test model shifts reimbursement toward outcome‑based, technology‑enabled chronic‑care organizations, incentivizing real‑time data integration. Meanwhile, advances in AI‑driven interoperability platforms enable faster data sharing across providers, payers, and community partners. Health‑care leaders must map where data lags cost the most, prioritize interoperable solutions, and embed real‑time analytics into clinical and administrative workflows to realize both clinical and financial gains.