Healthcare

Model Misinterprets Symptoms Differently Based on Patient Age; Younger Patients Undertreated, Older Patients Overtreated

Agent Fixates on the First Plausible Diagnosis Suggested Early in the Conversation and Discounts Later Contradictory Evidence

Model Trained Predominantly on "Textbook" Symptom Presentations Misses Atypical Presentations Common in Women, Elderly, and Diverse Populations

Agent Regenerates the Care Plan at Each Visit From the Current Problem List Alone, Losing Continuity With Previously Agreed Patient Goals

Model Recommends Treatment Optimal for Primary Condition But Dangerous for Comorbidities Patient Has

Agent Anchors on a Prior Visit's Diagnosis and Discounts New Evidence Contradicting It

Agent Recommends or Approves a Medication Without Checking Patient-Specific Contraindications Beyond Drug-Drug Interactions

Agent Summarizes a Critical Lab Result Within a Routine Note Instead of Triggering Immediate Notification

Model Biased Toward/Against Certain Demographics (Race, Gender, Age); Different Accuracy for Different Groups

Agent Generates Discharge Medication List Without Reconciling Against Pre-Admission Home Medications

Agent-Generated Clinical Note Language Inflates or Deflates Billing Code Level Relative to Actual Care Delivered

Agent Recommends Standard Adult Dosing Without Adjusting for Impaired Renal or Hepatic Clearance

Model Recommends Drug Combination Without Flagging Known Dangerous Interactions

A Medication-Reconciliation Agent Matching a Free-Text or Handwritten Medication Entry Against a Structured Formulary Database Uses Similarity-Based Lookup That Resolves the Entry to a Lexically Similar but Pharmacologically Different Look-Alike/Sound-Alike (LASA) Drug, and the Reconciled Medication List Carries the Wrong Drug Forward Into the Patient's Active List

An Agent Interpreting a Lab Result That Looks Up the Applicable Reference Range Via Semantic Search Over a Reference-Range Knowledge Base, Rather Than an Exact Assay-Code Match, Retrieves the Range for a Differently Named but Textually Similar Test -- Such as Confusing "Vitamin D, 25-Hydroxy" With "Vitamin D, 1,25-Dihydroxy" -- and Flags or Clears the Result Against the Wrong Range

An Agent Checking a Medication List for Drug-Drug Interactions, Using Semantic Similarity Search Over an Interaction Knowledge Base to Find the Relevant Interaction Profile for a Given Drug, Retrieves the Profile for a Structurally or Name-Similar but Pharmacologically Distinct Drug, and Clears or Flags the Combination Based on the Wrong Drug's Interaction Data

A Clinical-Summary or After-Visit-Note Agent Queries a Structured EHR Field for the Patient's Allergy History, the Query Returns Zero Records (Because the Field Was Never Populated, Not Because a Clinician Affirmatively Confirmed the Patient Has No Allergies), and the Agent's Note-Generation Step Renders This as "No Known Drug Allergies" -- an Affirmative Clinical Statement the Underlying Data Never Supported

Agent Cannot Reconcile Conflicting Recommendations From Different Clinical Guideline Bodies and Defaults to an Arbitrary or Most-Recently-Retrieved Source

Agent Checks Prescription-Drug Interactions but Ignores Patient-Reported Supplements and Herbal Products

Agent Produces a "De-Identified" Summary, Research Extract, or Support Ticket That Still Contains Re-Identifiable Information

Agent Summarizes the Radiology Impression Line Without Reconciling It Against the Ordering Clinician's Stated Question or Prior Comparison Imaging

Agent Drafts or Summarizes Clinical Documentation Implying Informed Consent Was Obtained and Discussed in Detail That Was Not Actually Covered in the Encounter

Agent Applies Generic Adult Reference Ranges to Lab Values Without Adjusting for Age, Sex, Pregnancy, or Assay-Specific Ranges

A Chat-Based Mental-Health Intake Agent That Elicits and Records a Significant Risk Disclosure During Conversation Captures That Finding Only in Its Own Conversational Reasoning or a Free-Text Summary, and When the Case Is Handed Off to a Downstream Scheduling/Routing Agent That Acts on a Structured Acuity Field to Determine Appointment Urgency, the Disclosed Risk Factor Never Crosses the Handoff Boundary, So the Case Is Scheduled at a Routine Priority as if the Disclosure Had Never Occurred

A Telehealth Triage Bot That Reasons, in Its Own Free-Text Assessment, That a Patient's Symptoms Warrant Urgent Same-Hour Clinician Contact Hands the Case to an On-Call Clinician Queue Through a Structured Ticket That Carries Only a Generic Priority Field, So the Urgency the Bot Actually Concluded Never Reaches the Queue's Sort Order

A Medication-Reconciliation Agent That Identifies a Specific Drug-Drug Interaction Risk Between a Newly Prescribed Medication and a Continuing Home Medication Records That Finding Only Within Its Own Free-Text Reasoning or Conversational Summary, and When the Reconciled Medication List Is Handed Off to a Downstream Pharmacy-Review Agent That Consumes Only the Structured Medication List, the Interaction Flag Never Crosses the Handoff Boundary, So the Pharmacy-Review Agent Approves the List as if No Interaction Risk Had Been Identified

An Intake Agent That Records a Patient's Narrowed Consent -- For Example, Consent to Treatment but Explicit Refusal of Consent to Share Records With a Specific Third-Party Payer or Research Registry -- Captures That Restriction Only as a Note Within Its Own Free-Text Reasoning or Conversation Summary, and a Downstream Billing or Records-Release Agent That Acts on a Structured Patient-Status Field Never Receives the Restriction, Proceeding as if Full Consent Were Granted

A Specialist-Consult Agent That Identifies, in Its Own Consult-Note Reasoning, a Contraindication to a Specific Treatment Approach Hands That Finding Off to a Primary Treatment-Planning Agent Through a Structured Consult Summary That Has No Field for Contraindications, So the Treatment-Planning Agent Finalizes a Care Plan Including the Approach the Specialist Had Ruled Out

Model Uses Medical Guidelines That Have Been Superseded by Newer Research; Recommends Treatment No Longer Best-Practice

Medical Diagnosis Model Trained on Limited Patient History; Misses Patterns Evident Only in Full Longitudinal Record

An Agent Calls a Structured EHR/FHIR Tool to Retrieve a Patient's Latest Lab Results, and Because the Underlying Record System Has a Duplicate or Merged Medical-Record-Number Entry, the Returned Payload Belongs to a Different Patient; the Agent Treats the Tool's Structured Response as Ground Truth and Interprets the Wrong Patient's Values Without Cross-Checking the Payload's Own Patient Identifiers Against the Request

Agent Extrapolates Adult Weight-Based or Fixed Dosing Formulas to Pediatric Patients, Producing Unsafe Doses

Patient on 5+ Medications; Pairwise Interaction Checking Misses Three-Way or Four-Way Drug Interactions

Model Trained on Common Diseases; Misses or Misdiagnoses Rare Conditions

Agent Triages a Telehealth Encounter as Lower Acuity Because Objective Vitals Are Simply Unavailable, Not Because They Are Normal

An Agent Reviewing a Patient's Chart for a Suspected Adverse Drug Reaction Attributes a New Symptom to Whichever Medication Was Most Recently Started, Based on Temporal Proximity Alone, Instead of Applying a Structured Causality Assessment, Producing a Confident-Sounding Attribution That May Implicate the Wrong Drug or Miss the Actual Cause

Agent Triages a Message Containing Indirect Self-Harm Indicators as Low Acuity Because No Explicit Keyword Was Present

Model Anchors on Initial Symptom; Misses True Diagnosis Because Anchored to Wrong Hypothesis