UiPath Announces AI Partnership with Google Cloud to Transform Medical Processes
UiPath (NYSE: PATH) announced the launch of its generative AI-based Medical Record Summarization agent, powered by Google Cloud Vertex AI and Gemini models, at Google Cloud Next 2025. The solution, currently in private preview, aims to reduce prior authorization turn-around time by up to 50%.
The AI agent, developed with clinical professionals, can complete medical record summarization in minutes compared to the typical 45-minute manual process. Key benefits include saving up to 40 minutes per referral, ensuring consistent quality with standardized sections, and providing traceable data for improved clinical decisions.
The solution is already showing results with a major healthcare payer achieving 23% faster document processing. The partnership leverages Google Cloud's Vertex AI and Gemini 2.0 Flash, offering clinician-level summaries and state-of-the-art retrieval-augmented generation (RAG) for processing unstructured medical data.
UiPath (NYSE: PATH) ha annunciato il lancio del suo agente di sintesi delle cartelle cliniche basato su AI generativa, alimentato dai modelli Google Cloud Vertex AI e Gemini, durante il Google Cloud Next 2025. La soluzione, attualmente in anteprima privata, mira a ridurre il tempo di autorizzazione preventiva fino al 50%.
L'agente AI, sviluppato con professionisti clinici, può completare la sintesi delle cartelle cliniche in pochi minuti rispetto al tipico processo manuale di 45 minuti. I principali vantaggi includono il risparmio di fino a 40 minuti per ogni referral, garantendo una qualità costante con sezioni standardizzate e fornendo dati tracciabili per decisioni cliniche migliorate.
La soluzione sta già mostrando risultati con un importante pagatore sanitario che ha ottenuto un'elaborazione dei documenti più veloce del 23%. La partnership sfrutta Vertex AI e Gemini 2.0 Flash di Google Cloud, offrendo sintesi a livello clinico e generazione aumentata da recupero (RAG) all'avanguardia per l'elaborazione di dati medici non strutturati.
UiPath (NYSE: PATH) anunció el lanzamiento de su agente de resumido de registros médicos basado en IA generativa, impulsado por los modelos Google Cloud Vertex AI y Gemini, en Google Cloud Next 2025. La solución, que actualmente se encuentra en vista previa privada, tiene como objetivo reducir el tiempo de autorización previa hasta en un 50%.
El agente de IA, desarrollado junto a profesionales clínicos, puede completar el resumido de registros médicos en minutos en comparación con el típico proceso manual de 45 minutos. Los beneficios clave incluyen el ahorro de hasta 40 minutos por referencia, asegurando una calidad constante con secciones estandarizadas y proporcionando datos trazables para mejorar las decisiones clínicas.
La solución ya está mostrando resultados con un importante pagador de atención médica que ha logrado un procesamiento de documentos un 23% más rápido. La asociación aprovecha Vertex AI y Gemini 2.0 Flash de Google Cloud, ofreciendo resúmenes a nivel clínico y generación aumentada por recuperación (RAG) de última generación para el procesamiento de datos médicos no estructurados.
UiPath (NYSE: PATH)는 구글 클라우드 Vertex AI 및 Gemini 모델 기반의 생성 AI 의료 기록 요약 에이전트를 Google Cloud Next 2025에서 출시했다고 발표했습니다. 현재 비공식 미리보기 상태인 이 솔루션은 사전 승인의 처리 시간을 최대 50% 단축하는 것을 목표로 하고 있습니다.
임상 전문가와 함께 개발된 AI 에이전트는 전통적인 45분 수작업 프로세스에 비해 몇 분 만에 의료 기록 요약을 완료할 수 있습니다. 주요 이점으로는 추천당 최대 40분의 시간 절약, 표준화된 섹션으로 일관된 품질 보장, 개선된 임상 결정을 위한 추적 가능한 데이터 제공 등이 있습니다.
이 솔루션은 이미 주요 건강 보험자가 문서 처리 속도를 23% 향상시키는 성과를 보여주고 있습니다. 이 파트너십은 구글 클라우드의 Vertex AI와 Gemini 2.0 Flash를 활용하여 임상 수준의 요약 및 비구조적 의료 데이터 처리를 위한 최첨단 검색 보강 생성(RAG)을 제공합니다.
UiPath (NYSE: PATH) a annoncé le lancement de son agent de résumé de dossiers médicaux basé sur l'IA générative, alimenté par les modèles Google Cloud Vertex AI et Gemini, lors de Google Cloud Next 2025. La solution, actuellement en aperçu privé, vise à réduire le temps de traitement des autorisations préalables jusqu'à 50%.
L'agent IA, développé avec des professionnels de la santé, peut compléter le résumé des dossiers médicaux en quelques minutes par rapport au processus manuel typique de 45 minutes. Les principaux avantages incluent des économies allant jusqu'à 40 minutes par référence, garantissant une qualité constante avec des sections standardisées et fournissant des données traçables pour améliorer les décisions cliniques.
La solution montre déjà des résultats avec un important payeur de soins de santé qui a atteint un traitement de documents 23% plus rapide. Le partenariat exploite Vertex AI et Gemini 2.0 Flash de Google Cloud, offrant des résumés de niveau clinique et une génération augmentée par récupération (RAG) à la pointe de la technologie pour le traitement de données médicales non structurées.
UiPath (NYSE: PATH) hat die Einführung seines generativen KI-basierten Agenten zur Zusammenfassung von medizinischen Unterlagen bekannt gegeben, der auf Google Cloud Vertex AI und Gemini-Modellen basiert, während der Google Cloud Next 2025. Die Lösung, die sich derzeit in einer privaten Vorschau befindet, zielt darauf ab, die Bearbeitungszeit für vorherige Genehmigungen um bis zu 50% zu reduzieren.
Der KI-Agent, der mit klinischen Fachleuten entwickelt wurde, kann die Zusammenfassung von medizinischen Unterlagen in Minuten im Vergleich zum typischen manuellen Prozess von 45 Minuten abschließen. Zu den wichtigsten Vorteilen gehören die Einsparung von bis zu 40 Minuten pro Überweisung, die Gewährleistung einer konsistenten Qualität durch standardisierte Abschnitte und die Bereitstellung von nachvollziehbaren Daten zur Verbesserung klinischer Entscheidungen.
Die Lösung zeigt bereits Ergebnisse mit einem großen Gesundheitszahler, der eine 23% schnellere Dokumentenverarbeitung erreicht hat. Die Partnerschaft nutzt Google Clouds Vertex AI und Gemini 2.0 Flash und bietet klinische Zusammenfassungen sowie hochmoderne retrieval-augmented generation (RAG) zur Verarbeitung unstrukturierter medizinischer Daten.
- New AI agent reduces prior authorization turn-around time by up to 50%
- Reduces processing time from 45 minutes to just minutes per medical record
- Early deployment shows 23% faster document processing with major healthcare payer
- Saves up to 40 minutes per patient referral
- Product is still in private preview phase, limiting immediate market impact
Insights
UiPath's new AI partnership with Google Cloud represents a strategic expansion of their healthcare vertical offerings that could meaningfully accelerate enterprise adoption. The Medical Record Summarization agent targets a specific high-value pain point: prior authorization processes that currently require extensive manual work by clinical staff.
The business case is compelling - reducing prior authorization turn-around time by
From a competitive positioning perspective, this partnership leverages complementary strengths: UiPath's automation expertise combined with Google's Vertex AI and Gemini 2.0 models. The retrieval-augmented generation (RAG) implementation for unstructured medical data processing represents sophisticated technical differentiation that should elevate UiPath's value proposition against both traditional RPA competitors and newer AI-focused entrants.
This move aligns with two dominant enterprise technology trends: vertical-specific AI solutions delivering higher ROI than general-purpose tools, and the integration of foundation models into practical business workflows. By combining UiPath's Agent Builder with Google's Gemini models, they're creating a deployment-ready solution rather than simply offering technological capabilities.
The UiPath-Google Cloud Medical Record Summarization agent addresses one of healthcare's most persistent operational bottlenecks. Prior authorization processes typically require clinicians to manually review extensive medical documentation - a task that diverts valuable clinical time away from patient care while creating significant administrative costs.
What makes this implementation particularly noteworthy is the focus on clinician-level summarization with traceable citations. Healthcare organizations face stringent compliance requirements, and AI solutions must provide transparency in their decision processes. The structured format with source citations creates an audit trail that supports both operational and regulatory requirements.
The retrieval-augmented generation (RAG) architecture is especially well-suited for healthcare applications as it combines the power of large language models with the ability to retrieve and ground responses in specific patient documentation. This dramatically reduces hallucination risks that would be unacceptable in clinical settings.
For healthcare organizations, the efficiency gains extend beyond simple cost savings. Faster prior authorization processing directly impacts patient care timelines, reducing delays in treatment initiation. Meanwhile, the standardization of medical record summaries addresses a fundamental challenge in healthcare information exchange where inconsistent documentation formats create significant downstream inefficiencies.
By targeting both payers and providers with this solution, UiPath is positioning itself at a critical intersection in the healthcare ecosystem where administrative friction has traditionally been highest.
A new medical summarization AI agent will help healthcare organizations reduce overall prior authorization turn-around time by up to
UiPath will demo Vertex AI integration and showcase platform features to unlock end-to-end enterprise automation at Google Cloud Next booth #3323
The UiPath Medical Record Summarization AI agent, now in private preview for customers, empowers both payer and provider organizations to take complete advantage of the combined power of gen AI and agentic automation. Developed in partnership with top clinical professionals, the solution leverages Google Gemini 2.0 Flash through Vertex AI to create a more efficient and accurate way to analyze medical documents. The agent is part of UiPath’s strategy to provide vertical AI solutions tailored to specific industry needs.
Built with UiPath Agent Builder, the agent provides a clinician-level, multi-point summarization of voluminous records at lower cost and with higher quality and accuracy than manual data entry, completing in just minutes a process that typically takes a medical professional an average of 45 minutes.
This improves overall efficiency for healthcare organizations through:
- Reducing the time and effort required for manual summarization thereby increasing cost savings, lessening the need for rework, and improving revenue opportunities
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Significantly decreasing time spent on tasks such as patient referral intake, order intake, and utilization management reviews, saving up to 40 minutes per referral and reducing overall prior authorization turn-around time by up to
50% - Ensuring medical summaries are consistent and high quality with standardized sections and traceable data, improving the accuracy of clinical decisions and reducing errors
- Providing a structured and organized summary of medical records, enabling clinicians and coordinators to make informed decisions more quickly and confidently
“Chief Medical Officers, Chief Financial Officers, and CIOs at healthcare organizations are consistently under pressure to reduce costs and improve quality of care while dealing with people resource constraints. Currently, clinical and non-clinical staff must summarize large volumes of medical records, yet medical records lack standard formats and summaries meaning they vary in quality and standardization,” said Mark Geene, senior vice president of AI Products at UiPath. “By automating and streamlining summary creation with Google Cloud, UiPath enables healthcare organizations to save clinical review time and improve accuracy, generating significant annual value in time savings and cost avoidance.”
“UiPath is delivering on its strategy to provide vertical AI solutions that are built to address industry-specific needs,” said Shweta Maniar, global director for Healthcare & Life Science Strategy & Solutions at Google Cloud. “Powered by Vertex AI and Gemini models, UiPath’s new medical summarization agent will significantly improve efficiency and streamline business processes for healthcare organizations.”
The new solution benefits both payer and provider organizations by providing quick access to accurate information from medical records and streamlining critical processes such as utilization management, appeals, referrals and order intake, and clinical trial eligibility checks. The UiPath Medical Record Summarization agent is already deployed by a major healthcare payer, which is using the agent to improve speed and accuracy of document processing to achieve results
UiPath Medical Records Summarization delivers:
- Clinician-level summaries organized in easy-to-understand segments with traceable citations. Records are displayed in an organized format, enabling quick location and review of relevant information
- State-of-the-art retrieval-augmented generation (RAG) for processing unstructured medical record data, projected to deliver faster chart processing from intake to summary
- Reduction of administrative tasks for both clinical and non-clinical professionals
UiPath partnership with Google Cloud
Vertex AI makes it easy to build, deploy, and manage ML models and generate fast, cost-effective predictions. UiPath customers can now harness the power of the latest ML models through Vertex AI to build into business processes quickly and seamlessly without the need for complex coding and manual effort.
UiPath is available on Google Cloud Marketplace to enable Google Cloud customers to purchase the industry-leading UiPath Platform and reliably deploy and scale their automation initiatives on Google Cloud infrastructure. Today, customers can deploy UiPath Studio and UiPath automations on Google Cloud in minutes. UiPath also recently expanded its partnership with Google Cloud to help customers facilitate their AI-powered automation journey through Google Workspace business collaboration offerings.
Visit here to learn more about innovating with UiPath and Google Cloud.
About UiPath
UiPath (NYSE: PATH) develops AI technology that mirrors human intelligence with ever-increasing sophistication, transforming how businesses operate, innovate, and compete. The UiPath Platform™ accelerates the shift toward a new era of agentic automation—one where agents, robots, people, and models integrate seamlessly to enable autonomous processes and smarter decision making. With a focus on security, accuracy, and resiliency, UiPath is committed to shaping a world where AI enhances human potential and revolutionizes industries. For more information, visit www.uipath.com.
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