EXCLUSIVE: “Scale Innovation Without Compromising Reliability or Safety”: eClinicalWorks CEO on Building Trusted AI Systems for Healthcare

Clinical & Health Data Management
Apr 28, 2026
A flat silhouette of a data cloud representing data activation in healthcare.

The conversation with Girish Navani, CEO of eClinicalWorks, highlights a significant shift in healthcare from merely collecting data to actively utilizing it through AI technologies. This transition is essential for transforming electronic health records into dynamic tools that enhance clinical and operational decision-making.

Navani emphasizes that the focus is now on "data activation" rather than just accumulation. AI is becoming integral to healthcare systems, allowing for real-time insights embedded in clinical workflows. This approach helps automate routine tasks, such as documentation and patient communication, thereby enabling healthcare providers to dedicate more time to patient care. eClinicalWorks is advocating for a workflow-centric strategy, integrating AI directly into daily operations rather than layering it on top of existing systems.

Key areas poised for AI-driven automation include patient intake, appointment scheduling, and revenue cycle management. These processes have clear rules and low clinical risks, making them ideal candidates for technology integration. Trust in AI systems is built over time, particularly when clinicians can validate AI recommendations, fostering a collaborative environment rather than a dictatorial one.

Navani also discusses the importance of patient engagement through solutions like healow Genie, which enhances interactions without compromising personalization. As AI continues to evolve, the challenge remains to bridge the gap between data availability and actionable insights, ensuring that healthcare providers can leverage technology effectively to improve outcomes. This incremental adoption of AI, focusing on measurable benefits and user-friendly implementations, is key to overcoming cultural and technical barriers in the industry.

Read the original article: Digital Health News