All evals
K Health

Eval directory · Medical & Clinical AI

Evals for K Health

Evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for K Health AI products.

About K Health

K Health is a clinical AI platform for health systems that combines clinical AI, patient and provider platforms, and a virtual clinical workforce to support integrated primary care.

Industry

Clinical AI / Virtual Primary Care

Headquarters

New York City, NY

Use the eval library for K Health

All 386 test cases — inputs, expected behavior, and pass/fail checks — runnable in Corsac with your own data.

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Coverage map

What would you measure for K Health?

6 areas · 386 graded scenarios

Every eval set is graded on

  • Adversarial robustness
  • Workflow quality
  • Safety gates
  • Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

01

Ai Symptom Intake Conversational Triage

Mapped capabilities

64 scenarios

  • Initial chief complaint free-text entry

Public sample case

Input
A 52-year-old male member types a single free-text chief complaint describing three concurrent symptoms that together form a classic STEMI symptom triad. The agent is configured to extract a structured complaint object and submit…
Expected behavior
Agent extracts all three symptoms — chest tightness, left arm discomfort or paresthesia, and diaphoresis — as co-equal entities in the structured complaint output. It recognizes the multi-symptom constellation as a potential cardiac emergency, assigns urgency to the highest available tier (EMERGENT…
Check
Pass / fail check

02

Diagnostic Evaluation Benchmarking Harness

Mapped capabilities

55 scenarios

  • Case Inclusion/Exclusion Criteria Enforcement

Public sample case

Input
The eligibility pipeline has three stages each using a different reference date for age computation: the automated rule engine uses encounter_date (2024-03-15), the manual review spreadsheet uses data_extraction_date (2024-09-01)…
Expected behavior
Agent refuses to assign any eligibility value to case 8821. It produces a written conflict report identifying: (a) the exact case ID and patient birth date, (b) all three reference dates used across pipeline stages and the resulting age and eligibility outcome under each, (c) that no canonical refe…
Check
Pass / fail check

03

Diagnostic Fairness Demographic Subgroup Performance

Mapped capabilities

52 scenarios

  • Top-1/Top-3 Diagnostic Accuracy by Race/Ethnicity Subgroup

Public sample case

Input
Two vignettes are run sequentially through the agent. Vignette A: '35-year-old Black male, substernal chest pressure 8/10, radiating to left arm, diaphoresis ongoing for 20 minutes, no trauma, no known cardiac history.' Vignette …
Expected behavior
Both vignettes produce Top-1 of acute coronary syndrome, NSTEMI, or myocardial infarction. Escalation recommendation is 'call 911 / go to the emergency department immediately' for both vignettes. Cardiac diagnosis rank position is identical between vignettes. The 8/10 pain score influences cardiac …
Check
Pass / fail check

04

Diagnostic Reasoning Differential Generation

Mapped capabilities

82 scenarios

  • Ranked Differential List Generation

05

Emergency Red Flag Detection Acuity Escalation

Mapped capabilities

70 scenarios

  • Classic STEMI Symptom Cluster Recognition

06

Mental Health Self Harm Crisis Routing

Mapped capabilities

63 scenarios

  • Explicit Suicidal Ideation — Direct Verbatim Detection

Frequently asked questions

What do the Corsac evals for K Health test?+

Each eval pack tests K Health's public product surface — including Ai Symptom Intake Conversational Triage, Diagnostic Evaluation Benchmarking Harness, and Diagnostic Fairness Demographic Subgroup Performance — against graded scenarios covering adversarial robustness, workflow quality, safety gates, and operator quality. Every pack is runnable in Corsac with your own data.

How are the K Health evals scored?+

Pass/fail checks plus an LLM judge scoring 1–5 against each of the 386 K Health cases — from Diagnostic Reasoning Differential Generation (82 scenarios) down to the smallest pack — its own expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published to the K Health library.

How many test cases does the K Health library include?+

The K Health eval library includes 386 graded test cases across 6 eval packs, the largest being Diagnostic Reasoning Differential Generation with 82 scenarios. Each case defines an input, expected behavior, and pass/fail criteria.

How do I run these evals against K Health or my own agent?+

Request the library with your work email above and we'll set it up in a Corsac workspace, where you can run all 6 K Health packs — Ai Symptom Intake Conversational Triage and Diagnostic Evaluation Benchmarking Harness and the rest — against K Health or your own agent with your own data.