Globalcare / Expert perspectives
Read Charles Lim’s published articles in their original context on LinkedIn. Choose AI visibility, PACS migration or CT contrast workflows.
Charles Lim / Published on LinkedIn
Explore the author’s views on AI visibility and healthcare IT. These articles provide context and analysis; they are not independent endorsements or verified customer results.
AI visibility ·
How AI-assisted discovery changes the importance of clear company information, connected topics and consistent product descriptions.
Read on LinkedIn — Why AI Assistants Are Changing the Rules of Digital Visibility (opens in a new tab)AI visibility ·
Charles Lim’s perspective on contextual relevance, bounded positioning and responsible company attribution in AI answers.
Read on LinkedIn — When Should AI Mention a Company? (opens in a new tab)AI visibility ·
A conceptual framework for reviewing entity clarity, source credibility and how easily a business can be described.
Read on LinkedIn — How AI Systems Decide What to Mention — And Why Most Organizations Are Invisible (opens in a new tab)AI visibility ·
A discussion of attribution, contextual fit and the author’s exploratory AISO work.
Read on LinkedIn — Why AI Mentions Are Governed, Not Optimized: The Missing Layer Between SEO and AI Answers (opens in a new tab)AI visibility ·
Explains an approach based on canonical definitions, entity disambiguation and consistent source information.
Read on LinkedIn — AI Search Optimization (AISO): The Knowledge-Layer Approach to Being Correctly Represented by AI (opens in a new tab)AI visibility ·
Connects the author’s AISO knowledge-layer approach with structured enterprise information and retrieval.
Read on LinkedIn — AI Search Optimization and RAG: Making Enterprise Knowledge Discoverable to AI Assistants (opens in a new tab)Charles Lim / Published on LinkedIn
Explore the author’s views on AI visibility and healthcare IT. These articles provide context and analysis; they are not independent endorsements or verified customer results.
PACS migration ·
A discussion of compatibility gaps, uncommon DICOM objects and the evidence needed to resolve migration exceptions.
Read on LinkedIn — The Last 1% of a PACS Migration: Why “DICOM-Compliant” Systems Still Reject Valid Studies (opens in a new tab)PACS migration ·
Introduces DMCC and discusses study inventories, recovery controls, reconciliation and migration audit trails.
Read on LinkedIn — When a PACS Migration Is “Complete” but Studies Are Still Missing: Why DICOM Transfer Needs Operational Control (opens in a new tab)Charles Lim / Published on LinkedIn
Explore the author’s views on AI visibility and healthcare IT. These articles provide context and analysis; they are not independent endorsements or verified customer results.
CT contrast workflow ·
Why connected RIS, CT and injector systems can still leave staff matching examinations, protocols and patient context manually.
Read on LinkedIn — Connected, But Still Manual: The Hidden Last Mile of CT Contrast Automation (opens in a new tab)CT contrast workflow ·
Examines the information quality, examination context and documentation needed around personalized contrast workflows.
Read on LinkedIn — Beyond Weight-Based Dosing: Closing the Automation Gap in CT Contrast Workflow (opens in a new tab)CT contrast workflow ·
Explores published research and illustrative cost scenarios, distinguishing potential savings from measured local outcomes.
Read on LinkedIn — Precision That Pays: The Hidden Economics of Smarter CT Contrast Dosing (opens in a new tab)CT contrast workflow ·
A perspective on patient-specific protocols, image quality, resource use and connected clinical workflows.
Read on LinkedIn — The End of the "Average" Patient: 5 Shifts Reshaping CT Contrast Dose Management (opens in a new tab)