Missing or misaligned data can impact operational costs and member health outcomes.
In the evolving landscape of healthcare, the role of data quality and strategic management is more critical than ever. High-quality data serves as the backbone of efficient operations, enabling healthcare organizations to support improved outcomes and reduce costs. Healthcare entities, from providers to payers, are grappling with increasing demands on time and resources. Missing or misaligned data leads to delays in care, added expense, burnout, and frustration, making it all the more critical for the entire healthcare ecosystem to focus on a strong data strategy.
The relationship between data quality and reducing operational costs
Data quality directly impacts operational cost reduction in healthcare. According to Gartner, poor data quality costs organizations an average of $12.9 million annually. In healthcare, where accuracy is paramount, the costs of incomplete or incorrect data can escalate quickly. Misaligned medical and drug benefits not only delay care but also increase administrative costs and payer/provider friction. Aligning these benefits using consistent and trusted data sources can help support efficiency and prevent redundant processes.
“Understanding current data challenges within payer and PBM organizations is key to addressing them and building successful strategies,” says Allison Combs, Head of Product – Payer Clinical Effectiveness at Wolters Kluwer, Health. “Many are working to have the right data infrastructure fully in place to address how best to integrate and leverage medical and pharmacy data, as well as new or more granular data like for those around indications or emerging therapies.”