How Health Plans Can Close the Gap Between AI Ambition and Data Reality

Ask a health plan executive whether AI is mission-critical to their network strategy, and the answer is almost always yes. Ask what their provider data environment actually looks like, and the story changes fast. The environment is comprised of fragmented systems, manual workarounds, and core functions like directory updates, credentialing, and ghost provider detection still running by hand.

That's the gap at the center of a new survey of 100 health plan executives, conducted by Becker's Healthcare and Quest Analytics®, strong confidence in AI's importance, sitting on top of an operational reality that isn't ready to support it. You can't automate what you haven't unified.

In this webinar, we'll unveil these fresh survey findings live and unpack what they mean for health plans racing to invest in AI without a foundation to build on. You'll hear from our panelists, Subhash Seelam, Chief Data Officer, Nebojsa Milosavljevic, Data Science Team Lead, and a regional health plan executive, as they connect the dots between AI ambition, data readiness, and what executives should actually prioritize when evaluating enterprise solutions built to strengthen provider directory accuracy, credentialing, network adequacy and compliance, cost-efficiency and competitive benchmarking, contracting, and ghost provider detection.

Walk away with a benchmark for how your organization's AI ambitions compare to your data reality, and a practical case for why unifying your provider data has to come before, not alongside, your next AI investment.

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