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Healthcare AI

Healthcare Data Readiness for AI: Why Many Pilots Fail, How to Fix the Root Cause

May 16, 2026 / Alex J. Lau / Artificial Intelligence, Healthcare AI, Healthcare Data
Healthcare Data Ready for AI

Most healthcare AI pilots fail not because the technology is flawed but because the data feeding it is fragmented, inconsistent, or structured in ways the AI cannot reliably use. Predictive analytics tools trained on inconsistently coded claims produce unreliable predictions. Prior authorization AI that pulls from incomplete patient records misses critical clinical context. Coding assistants […]

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Artificial Intelligence, Healthcare AI, Healthcare Data

Credentialing Prompts for ChatGPT & AI Assistants

November 22, 2025 / Alex J. Lau / Credentialing, Healthcare AI
LLM or Generative AI Assistant Bot

Finding the right credentialing partner used to mean cold calls and vendor demos. A growing number of practice administrators and medical staff coordinators are turning to AI assistants, ChatGPT, Perplexity, Claude, to get fast, comparative answers about credentialing vendors before they ever pick up the phone. A generic question gets a generic answer. The prompts […]

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AI Credentialing Prompts, ChatGPT Healthcare, Medical Credentialing, Provider Enrollment

How is AI Being Used in Healthcare?

September 5, 2025 / Alex J. Lau / Artificial Intelligence, Healthcare AI
Artificial Intelligence Robot Thinking

The intersection of artificial intelligence and healthcare represents one of the most transformative developments in modern medicine. As AI technologies develop, they’re reshaping how medical professionals diagnose diseases, treat patients, and manage healthcare systems. From machine learning algorithms that can spot cancer cells in medical images to chatbots that provide 24/7 patient support, AI is […]

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AI Diagnostic Models, AI Use Cases, Healthcare AI, Healthcare Use Cases

Bridging Healthcare’s Technical and Business Sides

January 10, 2024 / Alex J. Lau / Cross-functional, EHR, EMR, Health Level 7, Healthcare, Healthcare AI, Healthcare Business, Healthcare Ecosystem, Healthcare Operations, HL7, Medical Business, Medical Technology, Modern Healthcare, Patient Experience
Bridge Gap Healthcare Business

The healthcare industry is rapidly changing and becoming more complex. Developing expertise across both technical and business domains is crucial for healthcare organizations to keep up with industry changes and provide high-quality care. Below, we’ll stress the importance of cross-functional expertise in healthcare and provide actionable insights for developing well-rounded teams. The Evolving Healthcare Landscape […]

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Cross-functional, Healthcare Business, Healthcare Ecosystem, Healthcare Operations, Healthcare Technology, Healthtech, HL7, HL7 Interfacing, Medical Business, Medical Technology, Medtech, Modern Healthcare, Patient Experience

How AI is Transforming Healthcare: 12 Real-World Use Cases

January 3, 2024 / Alex J. Lau / Healthcare AI
12 Real World Healthcare Use Cases of AI / Artificial Intelligence

Artificial intelligence has moved from hype to mainstream adoption across healthcare, unlocking new possibilities for improving patient outcomes, experiences, and access to care. Below, we’ll explore 12 impactful real-world use cases showing exactly how healthcare providers are leveraging different AI models to enhance clinical workflows, augment decision making, streamline operational processes, and advance precision medicine. […]

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AI Diagnostic Models, HIPAA, KPIs, Patient Care, Use Case

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Recent Posts

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    Why an Approved Authorization Can Still End in a Denied Claim

  • Paye Contracting Requirements by State

    Payer Contracting Requirements by State: What Changes; What Stays the Same

  • AI Scribes Changing Medical Coding and Billing

    AI Scribes are Changing Medical Coding, Reimbursement

  • Net Collection Rate, analyzed by analyst

    What’s a Net Collection Rate in RCM?

  • Modifier 96 versus Modifier 97

    Modifier 96 vs. Modifier 97: What Therapy Billers Need to Know

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