Artificial intelligence agents are computer programs designed to do specific tasks by themselves or with people. In healthcare, these agents can study large amounts of data, gather important information, and help doctors make decisions before the patient arrives. For example, Epic Systems uses AI tools in Electronic Health Records (EHR) to assist doctors and staff in the United States.
Epic’s system looks at over 100 billion patient medical events to predict risks of diseases, hospital stay length, treatment results, and other key medical details. The AI agents do preparatory work before visits, like collecting patient history, updating records, and predicting needed tests or medications. Seth Howard, Epic’s Senior Vice President of Research and Development, says these AI agents help improve productivity for both patients and doctors by doing work that would otherwise take up important face-to-face visit time.
Having this data ready before a visit lets doctors review full, updated patient information quickly. This reduces the time spent writing notes during the appointment. For administrators and IT managers, this means smoother workflows and less time lost in paperwork delays.
AI agents can automate many tasks before a visit that help make clinical encounters smooth. These tasks include:
Using AI for data collection lowers mistakes from manual data entry and gives doctors access to near-real-time updated patient information.
Adding AI agents to clinical workflows moves healthcare from scattered data handling to more unified, smart systems. Workflow automation uses AI to make repetitive and long tasks easier. This helps solve two big problems in U.S. medical practices: doctor burnout and slow administration.
1. Decreasing Time on Documentation and Administrative Work
Epic’s AI Charting tool, for example, helps doctors spend less time writing notes and managing charts. Instead of typing or hunting for information, doctors get summarized, organized data prepared by AI agents. This saves time so they can spend more time with patients.
2. Enhancing Clinical Decision Support
AI agents offer real-time help by looking at patient data and medical guidelines to suggest the best care plans. They also make progress notes, draft patient messages, and help with medical coding. This improves record accuracy.
3. Maintaining Compliance and Security
Healthcare data is very sensitive, so AI needs to follow privacy laws like HIPAA. Epic makes sure all its AI tools follow these rules, including advanced models like GPT-4. This keeps patient information safe while using AI in clinical workflows.
4. Supporting Patient Engagement
Generative AI helps improve communication by turning complex medical terms into simple language. This helps patients understand their care better, follow plans, and take part in their treatment.
For administrators and IT managers in U.S. healthcare, using AI agents brings several benefits:
Epic Systems’ AI platform, Comet, is a main example of how AI processes huge amounts of patient data to predict health outcomes accurately. It forecasts disease risks, hospital stay lengths, and chances of treatment success. This helps doctors plan care early. Besides Comet, Epic is building over 100 AI features to help clinical workflows. Many use generative AI to draft messages, summarize visits, and auto-queue prescriptions and tests.
These AI tools are built right into the EHR system, making it easier for U.S. healthcare workers to use. Widespread use of these tools can standardize clinical data collection and improve healthcare delivery across the country.
Stephanie Klein Nagelvoort Schuit, Vice President on the Board of Directors and Professor of Health Care Innovation, stresses that doctors should lead AI testing and build trust in it. To use AI well, healthcare groups need to support learning and adjusting to AI technology.
Training clinical and admin staff to understand AI tools lowers resistance and helps fit AI into daily work. Teaching teams to work with AI agents, instead of fearing replacement, creates ethical and efficient AI use.
This change means adjusting old workflows and investing in ongoing education about what AI can and cannot do. For IT managers, it means making systems easy to use and matching daily clinical work. For administrators, it means updating policies and being open to new solutions.
The future will see more independent AI tools that help more before, during, and after patient visits. These agents will do preparatory work, smooth data collection, and make patient-doctor time more productive.
Health systems in the U.S. are using open-source AI testing tools, like those from Epic, to check that AI models in EHRs work correctly and safely. This supports uniform methods and good practices across hospitals.
As AI agents improve, they will lower admin workload and help create care that fits patient needs and current medical knowledge. This can lead to faster healthcare, happier patients, and better results.
AI agents are changing how U.S. medical practices get ready for and improve clinical visits. By automating data collection and helping doctors with needed information, these tools improve workflow, reduce doctor workload, and increase patient involvement. As AI grows, healthcare leaders must focus on careful use, staff training, and ongoing checking to get the most from AI in healthcare.
AI is revolutionizing healthcare workflows by embedding intelligent features directly into EHR systems, reducing time on documentation and administrative tasks, enhancing clinical decision-making, and freeing clinicians to focus more on patient care.
Epic integrates AI through features like generative AI and ambient intelligence that assist with documentation, patient communication, medical coding, and prediction of patient outcomes, aiming for seamless, efficient clinician workflows while maintaining HIPAA compliance.
AI Charting automates parts of clinical documentation to speed up note creation and reduce administrative burdens, allowing clinicians more time for patient interaction and improving the accuracy and completeness of medical records.
Epic plans to incorporate generative AI that aids clinicians by revising message responses into patient-friendly language, automatically queuing orders for prescriptions and labs, and streamlining communication and care planning.
AI personalizes patient interactions by generating clear communication, summarizing handoffs, and providing up-to-date clinical insights, which enhances understanding, adherence, and overall patient experience.
Epic focuses on responsible AI through validation tools, open-source AI model testing, and embedding privacy and security best practices to maintain compliance and trust in sensitive healthcare environments.
‘Comet’ is an AI-driven healthcare intelligence platform by Epic that analyzes vast medical event data to predict disease risk, length of hospital stay, treatment outcomes, and other clinical insights, guiding informed decisions.
Generative AI automates repetitive tasks such as drafting clinical notes, responding to patient messages, and coding assistance, significantly reducing administrative burden and enabling clinicians to prioritize patient care.
Future AI agents will perform preparatory work before patient visits, optimize data gathering, and assist in visit documentation to enhance productivity and the overall effectiveness of clinical encounters.
Healthcare organizations must foster a culture of experimentation and trust in AI, encouraging staff to develop AI expertise and adapt workflows, ensuring smooth adoption and maximizing AI’s benefits in clinical settings.
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