Medical record summarization means looking over a lot of medical data and making it shorter and easier to understand. Doctors and other health workers use these summaries to make decisions, handle billing, and follow rules. Usually, it takes a long time to do this—often 45 minutes or more for each record. This is because medical records come from many places and are not always in the same format or quality.
For medical practice managers and owners, this process causes some problems:
IT managers also find it hard to add accurate data summarization tools into the existing electronic health record (EHR) systems while keeping data safe and following health rules.
Generative AI agents are advanced computer programs that can understand and write text like a human. Unlike older automation tools that follow fixed rules, these AI agents can understand big, complex medical data sets, make summaries like a doctor would, and fit into health workflows safely.
UiPath has made a Medical Record Summarization AI agent with help from Google Cloud. This AI agent uses Google Cloud’s Vertex AI and Gemini 2.0 Flash models to create summaries that:
A big health payer in the U.S. says their document processing got 23% faster and more accurate after using this AI agent.
Using generative AI agents improves the quality of clinical documentation. Accurate summaries lower the chance of mistakes and give doctors reliable and standard reports to base their decisions on. Benefits include:
With better accuracy and less manual work, healthcare workers can focus more on patient care. This also helps speed up reviews for utilization management, clinical trial checks, referrals, and appeals.
Studies and real healthcare uses show big improvements in productivity thanks to generative AI tools. For example:
Research using AI technologies like OpenAI’s Whisper and ChatGPT shows that outpatient clinic documentation time dropped from about 16 minutes to just over 1 minute. These systems combine speech recognition and AI to quickly make structured clinical notes. This lets staff spend more time with patients.
AI in healthcare does more than work on its own. Generative AI agents are used in “agentic workflows” where autonomous AIs handle different systems, apps, and people to manage healthcare tasks fully.
For IT managers and administrators, this means:
Healthcare groups in the U.S. see benefits like less paperwork, faster patient care approvals, better accuracy, and lower costs through this approach.
For managers and owners, generative AI agents help solve problems like not having enough staff and rising paperwork costs. Automating slow tasks means:
For IT managers, this technology offers:
Big companies and collaborations push AI advances that affect medical record summarization across the country. UiPath’s team-up with Google Cloud shows how combining AI skill and cloud platforms delivers health systems automation solutions that work at scale and keep data safe.
Mark Geene, Senior VP of AI Products at UiPath, explains that automating record summarization saves time spent reviewing and lowers errors. Shweta Maniar, Google Cloud’s global healthcare strategy director, talks about the efficiency and better processes gained from these AI tools.
Research in outpatient surgery clinics found that combining automatic speech recognition with generative AI cuts electronic health record documentation time a lot and creates good clinical notes over 85% of the time. These results support more use of generative AI in healthcare.
The U.S. healthcare system needs to cut costs, improve patient health, and manage growing data amounts. Generative AI is becoming a practical tool to handle one of the longest and most error-filled tasks: summarizing medical records.
By using generative AI summaries:
Generative AI agents are changing how medical record summarization works in U.S. healthcare. They cut down manual entry time, raise the quality of clinical documents, and fit into wider automated workflows. For administrators, owners, and IT managers, this technology brings useful benefits that support running clinics well, helping patients, and managing costs. As AI gets better and more connected to health systems, more groups will gain from faster, more exact, and less costly documentation processes.
The UiPath Medical Record Summarization AI agent is a generative AI-based tool developed in partnership with Google Cloud that automates the summarization of voluminous medical records. It provides clinician-level multi-point summaries quickly and accurately, reducing manual entry time from about 45 minutes to just a few minutes, thus enhancing operational efficiency in healthcare organizations.
The agent improves prior authorization by reducing overall turn-around time by up to 50%. It decreases time spent on patient referral intake, order intake, and utilization management reviews by up to 40 minutes per referral, enabling faster and more accurate processing of prior authorizations for healthcare providers and payers.
The solution leverages Google Cloud Vertex AI with advanced Gemini 2.0 Flash models for generative AI capabilities. It uses state-of-the-art retrieval-augmented generation (RAG) to process unstructured medical records and generate structured, traceable summaries efficiently.
Benefits include significant time and cost savings by reducing manual summarization effort, improved accuracy and quality of medical summaries, consistent standardized documentation, fewer errors, and enhanced clinical decision-making speed and confidence through organized, traceable data presentation.
UiPath’s platform offers agentic automation that models and orchestrates agents, robots, and human-in-the-loop workflows end-to-end. It integrates AI, API, and rules-based tools, enabling healthcare organizations to deploy and manage automation quickly for complex clinical and administrative processes with security and governance.
The partnership allows UiPath to utilize Google Cloud’s Vertex AI and Gemini models to provide powerful machine learning-driven automation solutions tailored for healthcare. It supports seamless, scalable deployment of automation on Google Cloud infrastructure, simplifying and accelerating AI-powered transformation for healthcare customers.
Processes such as utilization management, appeals, referrals, order intake, and clinical trial eligibility checks benefit from faster and more accurate medical record processing, reducing administrative burden across both payer and provider organizations.
By delivering standardized, clinician-level summaries with traceable citations in organized sections, the agent ensures consistent data quality. This reduces variability and human error common in manual summarization, enhancing clinical decision support and documentation fidelity.
The automation reduces the time and effort clinical and non-clinical staff spend on summarizing medical records, alleviating resource constraints. It lowers the need for rework and manual data entry, optimizing staff utilization and allowing focus on higher-value clinical tasks.
UiPath offers an enterprise-grade platform available through the Google Cloud Marketplace that supports quick deployment of automation workflows. With tools like Agent Builder and integration to Google’s AI models, healthcare organizations can build, scale, and manage AI-powered automated solutions without extensive coding.
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