SaludOperaciones

Cómo Qualified Health Usa Claude para Identificar a Millones de Pacientes Candidatos a Tratamientos que Salvan Vidas

QHQualified HealthFuente: ANTHROPIC ↗

Qualified Health usa Claude para identificar pacientes candidatos a tratamientos que salvan vidas en poblaciones de más de 1 millón en instituciones como la Universidad de Texas Medical Branch, completando revisiones de historial clínico en minutos en lugar de semanas.

Impacto

1M+

Población de pacientes analizada

4–6 million/year

Pacientes candidatos no identificados en Texas

Minutes vs. extensive manual work

Tiempo de revisión de historial clínico

Desafío

Entre 4 y 6 millones de pacientes al año solo en Texas reúnen los requisitos para intervenciones que salvan vidas, pero no son identificados debido a la imposibilidad de realizar revisiones manuales de historiales clínicos a escala.

Solución

Se construyó una plataforma impulsada por Claude que analiza poblaciones de más de 1 millón de pacientes, completando revisiones de historial clínico en minutos y derivando a los pacientes candidatos a los flujos de trabajo clínicos con documentación.

Herramientas y tecnologías

CClaudeLarge Language Models
Entiende todo el contexto.

Regístrate para leer casos de estudio completos, acceder a métricas detalladas y recibir todos los reportes.

Historia completa

Solo en Texas, entre 4 y 6 millones de pacientes al año reúnen los requisitos para intervenciones médicas basadas en la evidencia, pero nunca son identificados. Son pacientes que podrían beneficiarse de la optimización de su medicación, de intervenciones terapéuticas o de derivaciones a especialistas, pero sin un cribado sistemático simplemente quedan fuera del sistema.

Qualified Health fue creada para resolver este problema. La plataforma de IA de la empresa identifica a los pacientes candidatos a tratamientos que salvan vidas analizando poblaciones de pacientes a escala y derivando a los candidatos directamente a los flujos de trabajo clínicos con la documentación de respaldo.

Claude impulsa el motor de revisión de historiales clínicos. Lo que antes requería una extensa abstracción manual por parte del personal clínico ahora se completa en minutos. En la Universidad de Texas Medical Branch, Qualified Health analiza una población de más de un millón de pacientes, identificando candidatos a intervención en cardiología y más allá.

La plataforma se está expandiendo rápidamente. Para finales de 2026, Qualified Health planea ampliar su alcance desde la cardiología hasta la atención primaria, la vascular, la gastroenterología, la reumatología y la neurología, multiplicando las poblaciones de pacientes atendidas y las intervenciones identificadas.

Casos similares

EH
Elation Health
61%
reduction in time to first insight

Elation Health migrated its Clinical Insights feature to Claude, achieving a 61% reduction in time-to-first-insight for chart review and doubling adoption among clinicians. The platform serves 46,000+ clinical users across 50 states, helping primary care physicians synthesize dense patient histories before appointments.

HealthcareCClaude
BH
Banner Health
85%
users reporting significant time savings

Banner Health built BannerWise, an enterprise AI platform powered by Claude, to eliminate after-hours documentation burden for physicians across 55,000+ employees.

HealthcareCClaude
CH
Carta Healthcare
66%
reduction in clinical data abstraction time

Carta Healthcare deployed Claude to automate clinical data abstraction from hospital records, replacing a manual process requiring roughly one hour per case by trained abstractors. The AI-powered hybrid intelligence system pairs Claude with human clinical expertise to achieve 98–99% inter-rater reliability. The result was a 66% reduction in abstraction time and over 50% cost savings.

HealthcareCClaude
ES
Epic Systems
Over 50%
claude code usage from non-developers

Epic Systems — the healthcare technology company behind MyChart, used by 195 million patients — deployed Claude Code across its entire workforce, not just engineers. Today, more than half of Claude Code usage at Epic comes from non-technical employees, including a pharmacist who built a fully interactive MyChart prototype without writing a single line of code.

HealthcareCClaudeCCClaude Code
C
CoxHealth
94%
reduction in fleet maintenance processing time

CoxHealth operates 106 vehicles including 55 ambulances across five counties in the Missouri Ozarks, driving over 6 million miles annually with a 400-person EMS team. The organization deployed Samsara’s Connected Operations platform across their fleet to address safety investigation gaps, manual maintenance tracking, and asset visibility challenges in a high-acuity emergency medical service environment. Connected Maintenance reduced fleet maintenance processing time by 94%, while AI dash cams and asset tracking created a defensible, fully visible operation.

HealthcareSSamsara
M
Mediq
55
active automations in production

Mediq, an international healthcare company operating across 14 European countries, formalized a group-wide Center of Excellence for automation in 2024 built on UiPath. By year-end the CoE ran 55 automations saving 55,000 hours annually, with UiPath Document Understanding processing sales orders at 98% accuracy across regulated healthcare supply chains.

HealthcareUMUiPath MaestroUPUiPath Platform
A
AstraZeneca
40%
developer velocity increase with github copilot

AstraZeneca, one of the world’s largest pharmaceutical companies, unified 5,000 developers and scientists onto GitHub Enterprise, automated CI/CD with GitHub Actions, and deployed GitHub Copilot — achieving a 40% increase in developer velocity in its pilot program and generating 9 to 10 additional hours of productive output per developer each week. With drug development timelines measured in decades, the company views even marginal acceleration as directly impacting patient outcomes.

HealthcareGAGitHub ActionsGEGitHub Enterprise
A
ArisGlobal
diagnostic file collection time reduced from 45–60 minutes to near-instant

ArisGlobal, an AI-first life sciences software company serving global pharmaceutical organizations, deployed Datadog APM, App Builder, Workflow Automation, and On-Call to enhance observability and automate operations for its LifeSphere platform. Automated incident remediation cut diagnostic file collection from 45–60 minutes to near-instant, and the team achieved 100% automation of previously manual operational tasks.

HealthcareDDatadog