The expansion and specialization of health networks has made it difficult for most consumers to navigate and advocate for themselves within today’s healthcare organizations.
For the average health consumer, simply identifying in-network providers, requesting a cost estimate, or scheduling a medical test presents a major hassle. Add a chronic condition or difficult diagnosis in the mix and the burden of accessing required care only increases. Over time, unsatisfactory healthcare interactions leave consumers frustrated and burned out, eroding their trust in healthcare organizations’ ability to consistently and reliably provide the care they need.
But there’s a solution that can minimize the strain on consumers and healthcare organizations: AI.
Advances in AI and machine learning (ML), including ChatGPT, offer key opportunities for healthcare organizations to decrease administrative hurdles, enhance communication, and ultimately build stronger relationships with consumers. However, to deliver frictionless, personalized interactions, these tools require organizations to unify historically siloed technology platforms and data on the backend — factors that are often the root cause of consumers’ ongoing frustrations.
Applied at scale, AI tools ensure consumers can access the care they need — and enable healthcare organizations to provide exceptional service that earns consumers’ long-term trust.