AI should help the doctor, not replace the doctor
AI should sort the inbox so the doctor can decide. Here is where we draw the line.
Thyra Blog
Clinical Decision Support
Rule-based and AI-powered decision support integrated into clinical workflows.
Which Tools Support Conversational Clinical Search Across a Patient's Full Visit History?
A clinical look at RAG-based tools that let clinicians ask natural-language questions across a patient's entire chart, and what separates real longitudinal search from note-search with a chat box.
What Is HTI-1 and How Does It Regulate AI Used in Clinical Decision Support?
HTI-1 forces certified EHRs to disclose how predictive AI tools are built, trained, and validated. Here's what it actually requires, and what it doesn't.
AI Chart Audits for Risk Adjustment and Coding Compliance: What They Catch That Manual Review Misses
AI chart audits scan for HCC coding gaps, unsupported diagnoses, and documentation-to-billing mismatches at a scale manual review cannot match. Here is what they actually catch.
AI Safety and Governance in Clinical Workflows: What Healthcare IT Leaders Should Verify Before Deploying an AI EHR
AI safety in healthcare is now a workflow control problem. Here is what healthcare IT leaders should verify in audit logs, approval workflows, and source grounding before deploying an AI EHR.
How AI EHRs are Transforming Endocrinology Workflows: A Deep Dive into Safety and Efficiency
AI hallucinations in clinical workflows pose significant patient safety risks. Essential prevention strategies include data grounding, deterministic rules, and audit trails.
AI Scribe vs EHR Overlay: Understanding the Differences and Choosing the Right Solution
AI scribes assist with documentation. An EHR overlay addresses selected workflows alongside an existing system. Compare their scope and confirm supported connections.
Smart Inbox Triage: The Missing Workflow Layer Outpatient EHRs Need for Between-Visit Care
Outpatient EHRs optimized the note. The inbox became the channel for non-visit care, and it lacks a safety-grade triage layer.
Integrating AI-Powered Electronic Health Records: The Future of Endocrinology and Primary Care
How AI-native EHR workflows with Smart Inbox, Smart Search, and SMART on FHIR overlay are transforming endocrinology and primary care. Built by an endocrinologist for specialty and primary care practices.
Building a Protocol-Driven Clinical Inbox from Scratch
A clinical inbox is not email. It is a task engine with safety requirements. Here is how to design one that routes, owns, and resolves work deterministically.
CGM Interpretation at Scale: Workflow Design for Endocrinology
CGM data is abundant. Clinical time is not. A scalable CGM workflow needs automated summaries, trend comparison, and defensible documentation in one screen.
Prior Authorization Automation: What Actually Works
Prior auth is the most hated workflow in healthcare. Automation helps, but only if it addresses the real bottlenecks: data assembly, payer rules, and follow-up tracking.
The AI Scribe Maturity Model: From Transcription to Clinical Leverage
Not all AI scribes are equal. A maturity model helps clinics evaluate what they are actually buying and what level of trust it deserves.
Keep exploring