Topic: Healthcare AI

IKS Health PR 04072026

IKS Health Announces Launch of Audit-Ready Autonomous Coding Capabilities

Combining advanced automation with expert human coders, IKS Health coding offering is audit ready and achieves up to 95% accuracy.
Part one major shift in healthcare

Part 1: Major shifts in healthcare AI from foundation models to clinical reality

Welcome to the first installment of our five-part series. We explore why AI success in healthcare depends on more than just powerful technology; it requires the systems, infrastructure, and partnerships to operate safely and scale effectively.
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Patient engagement has never existed in healthcare. Only outreach. Here’s what needs to change.

True patient engagement is fundamentally different. It starts with understanding the individual: their behavior, preferences, barriers, and motivations.
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Responsible AI for revenue cycle: Turning documentation and coding into measurable results

Healthcare leaders are turning to AI-powered revenue cycle management (RCM) to ease financial pressures, particularly in regard to denials.
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A CEO Perspective on KLAS Awards: Accountable Partnerships in Healthcare

Under sustained pressure, healthcare leaders need more than transactional outsourcing. It must be highly collaborative, measurable, and performance-based.
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Connecting the Work Around Care with Integration and Intelligent AI

IKS Health recognition by Black Book for AI-Driven RCM, coding, and clinical documentation reflects how healthcare organizations approach operational improvement.
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IKS Health Announces Acquihire of ThinkDTM, an AI-led Company

IKS Health expands patient access team with addition of AI and product design experts.
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IKS Health and Certilytics Expand Strategic Collaboration to Bridge the Payer-Provider Gap with Agentic AI and Human-in-the-Loop Oversight

Our expanded partnership reduces administrative friction, boosts member engagement, and delivers price transparency via a unified system of action.
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Part 1: AI in Healthcare Has a Data, Not Intelligence, Problem

What are healthcare organizations discovering after actually trying to deploy agentic AI? Are systems able to assemble a complete picture of the patient?
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Part 2: Do Healthcare Organizations Actually Control Their Own Data?

Before healthcare asks how powerful AI will become, it must answer a simpler question: Can we actually access and account for the full patient record?