Addressing the AI Gap in Healthcare Documentation with Purpose-Built Solutions
As AI continues to reshape the healthcare landscape, IT leaders are stepping up to drive strategy and innovation. However, a recent Becker’s Health IT article underscores a sobering truth: most EHRs aren’t ready for the future clinicians need right now.
According to a June 2025 report from AI-based software provider Qventus, only 2 percent of healthcare IT leaders believe their EHR’s AI capabilities are fully developed. At the same time, 86 percent of CIOs say they’re now directing their AI strategy, a dramatic increase from just 31 percent the year prior.
This gap between strategic urgency and operational readiness creates a clear dilemma: wait for EHR-native AI to mature or explore complementary technologies that can move the needle today.
The Risks of Relying on Underdeveloped EHR AI
EHR vendors are racing to integrate AI into their platforms, but development timelines and real-world usability often lag behind expectations. Many current EHR-based tools focus on backend efficiencies or are still in pilot phases. In contrast, clinical teams need immediate relief from documentation overload, onboarding fatigue, and growing burnout.
When AI is tied too closely to a single EHR, healthcare organization face:
- Limited adaptability across settings or roles
- Workflow disruption during implementation
- Slower time-to-value, especially in post-acute care environments
- Restricted innovation, locked to vendor priorities
Health systems don’t need more AI hype, they need tools that work today. Our goal has always been to deliver targeted, lightweight AI that integrates easily and improves clinical workflows without creating new burdens.”
Documentation: A Strategic Starting Point for AI in Healthcare IT
Among the CIOs surveyed in the Qventus report, improving operational efficiency and reducing costs ranked as top strategic objectives. For many health systems, that journey begins with clinical documentation, one of the most time-consuming and error-prone areas of daily care delivery.
Documentation errors impact everything from billing to compliance to care coordination. And yet, EHRs alone haven’t solved the problem. That’s why forward-thinking IT leaders are turning to AI-powered documentation tools that layer into existing systems, rather than waiting for native functionality to catch up.
Deployable AI That Works Now
nVoq's voice-powered documentation platform is designed to meet this moment. It’s purpose-built for home health, hospice, and palliative care, optimized for real-time workflows, and deployable across a range of EHRs.
Unlike experimental or LLM-based tools still in development, nVoq’s AI-powered dictation and real-time analysis capabilites are already:
- Improving note quality at the point of care
- Reducing documentation time for clinicians
- Supporting QA teams with consistent, review-ready notes
- Delivering measurable ROI without disrupting clinical workflows
We’ve built our platform to meet clinicians where they are, across devices, EHRs, and care settings. That means no black boxes, no complex integrations – just proven technology that improves efficiency across organizations and protects revenue.”
In addition, nVoq doesn’t rely on generic large language models or EHR dependencies; health systems can implement it confidently with full governance, HIPAA compliance, and data transparency.
Don’t Let Underdeveloped EHR AI Hold You Back
AI governance committees, which now exist in over half of health systems surveyed, are tasked with balancing innovation and accountability. That means carefully evaluating not just what’s promised, but what’s proven.
If your EHR’s AI isn’t fully developed – and the Qventus report suggests that’s true for 98 percent of you – you still have a path forward.
Start with documentation. Start with tools that work. Start with nVoq.
Ready to see an AI documentation strategy that doesn’t wait for the EHR? Our experts are ready to answer your questions.
Schedule a quick meeting with one of our experts