HiNZ 2025: Emeline Ramos - Physician Executive, InterSystems

Why It Matters

The rollout shows AI can streamline bedside decision‑making, accelerating care delivery in high‑volume settings. Understanding clinicians’ spontaneous queries informs more intuitive AI design, boosting adoption across health systems.

Key Takeaways

• AI chat improves clinician workflow speed
• Eight Jakarta hospitals using generative AI EHR
• Doctors request immediate, actionable answers from AI
• Real prompts differ from pre‑built templates
• Future focus on AI safety and integration

Pulse Analysis

The integration of generative AI into electronic health records marks a pivotal shift for hospitals seeking to modernize clinical workflows. In Jakarta, eight major facilities have adopted InterSystems’ AI‑enhanced EHR, allowing physicians to query patient data through natural language prompts. This real‑time conversational layer reduces the time spent navigating menus and extracting information, delivering concise insights at the point of care. By embedding large‑language models directly into the record system, the platform leverages local data while maintaining compliance with regional privacy standards.

Clinicians’ interaction patterns reveal a clear preference for immediate, actionable answers over generic template outputs. During the Digital Health Week session, Ramos noted that doctors frequently ask “What’s the next step for this patient?” or “Any contraindications for this medication?”—queries that differ markedly from the pre‑crafted decision‑support templates originally programmed. This gap forces vendors to refine prompt‑engineering strategies, prioritize context‑aware reasoning, and expand the knowledge base to cover specialty‑specific nuances. The feedback loop created by real‑world usage accelerates iterative development, ensuring AI tools evolve in step with frontline needs rather than remaining static.

The broader implications extend beyond Jakarta’s hospitals. Health systems worldwide are watching these early results to gauge scalability, safety, and regulatory readiness. As AI assistants become more conversational, concerns around bias, explainability, and clinical validation intensify, prompting tighter oversight from health authorities. Nonetheless, the demonstrated productivity gains and improved clinician satisfaction suggest a strong business case for further investment. Future roadmaps will likely focus on integrating multimodal data—such as imaging and genomics—into the conversational engine, positioning generative AI as a central hub for precision medicine and operational efficiency.

Original Description

"Doctors just want to chat to the AI – but they want answers, and they want them now." 💡

Emeline Ramos, Physician Executive for Intersystems Asia-Pacific, joins Rebecca McBeth at Digital Health Week 2025 in Christchurch, hosted by Health Informatics New Zealand (HiNZ), to share real-world insights from a generative AI-enabled electronic health record system, rolled out across eight hospitals in Jakarta.

How are clinicians using generative AI today, and what surprising requests do they make of their AI assistant? What are the most in-demand features, and how do real-world prompts compare to the templates designed for them? Researchers were eager to see this data in action – but what’s next for clinical AI?

Catch this conversation and many others recorded during Digital Health Week in Christchurch, hosted by Health Informatics New Zealand (HiNZ) in a special playlist available here on YouTube under our channel. as well as the Talking HealthTech Podcast on your favourite platform.

#healthinformatics #digitalhealth #artificialintelligence #healthtech