AI Agents In Healthcare: Real Use Cases and How to Implement Them

A new trend is coming up as AI moves from assistants to AI agents in healthcare. An AI assistant will respond to questions and generate responses, but they rely completely on people to advance to the next step of the process. AI agents can be made to handle complex operations and workflows. 

The healthcare industry has been struggling with increasing costs and a shortage of labor. Here, AI agents can be used to manage all the complex workflows that are mostly done by staff. This gives more free time to clinicians to focus on providing patient care and insurance companies. They provide a cost-effective and seamless experience for their members. 

What Are AI Agents In Healthcare?

Widely, AI agents use LLMs(Large language models- Which perform natural language processing) and RAG(Retrieval augmented generation – Which optimizes the results of the LLM). AI agents can be given tasks, take proper action based on their roles, and adjust and tune their behavior based on customer feedback and experience. These start from answering simple questions from users to solving major challenges in industries like hospitality and healthcare. 

Where AI Agents Create The Most Value In Healthcare

AI agents are the same as a workforce that is built on code. They are capable of listening, understanding, and acting in clinical and operational settings. They are also capable of summarizing conversations using chat, voice or text. AI agents are also capable of extracting ideas both internally and externally. 

So, they take over repetitive tasks and data retrieval and reduce the administrative burden of the healthcare professionals.

By analyzing large volumes of data, they can help you diagnose and give personalized treatment plans, and also identify patterns that even humans miss.

Key Use Cases Of AI Agents In Healthcare

• Most physicians report high stress levels when it comes to the massive administrative work they are expected to complete. AI agents help reduce this. They act as digital assistants that are integrated into the organization’s system. 
• Even though it may seem that there is only a single AI agent, behind the scenes, there may be multiple agents with responsibilities of various tasks, like analyzing a lab test result, prescription refill management, and giving information to the physician about a patient’s condition.

Real Business Impact Of AI Agents In Healthcare

AI agents are there to benefit healthcare organizations and the patients. They help in improving decision-making and treatment by minimizing the administrative costs. 

Support Healthcare Providers:

Agents will help doctors and nurses by providing them with the patient history before the appointments and access to the best machine learning tools that are trained on certain data sets.  

For example, a doctor with a lung cancer patient may ask the AI agent to get the data from various other locations, like from the CT scans, lab reports, etc., and give them an analysis and provide them with the course of the treatment.

Cost Reduction:

Healthcare organizations can control costs easily by using AI agents to automate the billing and payer reimbursement process without reducing the quality of the care. 

Personalized treatment:

When the data is retrieved from multiple sources, the AI agents can give you a personalized treatment plan for approval by the healthcare professionals. 

Improved Efficiency:

Doctors have an average of 15 minutes per patient. Doctors would have an additional 15 to 20 minutes to work with other care staff to make decisions for the patient after updating the patient’s EHR. By automating EHR updating and coding treatments for reimbursement, doctors can regain this time to work with patients.

Real-Time Monitoring:

Doctors can work with remote patient monitoring systems like smart watches, heart rate monitors, and glucose level monitors. By working with this technology, doctors can monitor patient health in real-time. Doctors can have access to patient health information at all times, unlike just information collected during scheduled visits and emergency room visits. They can be notified only for emergencies that require them. Real-time monitoring can help patients become more engaged in their care because the AI agent can be set up to communicate with them.

Faster Drug Development:

Doctors can’t possibly be aware of all clinical trials that can help their patients. An AI agent can be set up to monitor clinical trials at all times and notify doctors when a clinical trial is available for a patient’s set of conditions and medical history.

How To Implement AI Agents In Healthcare Successfully

Implementing AI can power a different perspective on how things can be done. Instead of using very little effort, organizations can focus on very few high-impact use cases and build from there. Choose the right architecture. A very strong governance, including human oversight is very important. Finally, you need to align people, technology, and processes through change management and make clear decisions.  

How Clarity Tech Labs Helps You Deploy AI Agents In Healthcare

At Clarity Tech Labs, our team begins with identifying areas like clinical documentation, revenue cycle management, and patient engagement where AI agents can be used to improve workflow efficiency right off the bat. Our team then uses this information to deploy custom AI solutions that integrate smoothly with your existing infrastructure, including your EHR and billing systems.

Get Started With AI Agents For Your Healthcare Organization

If you are looking at AI agents, the best place to start is with a specific high-impact opportunity. Our team helps you evaluate your opportunities and develop a roadmap for implementation. From strategy to implementation, we work with your team to ensure a seamless transition and long-term success. Whether you want to improve your workflows or clinical decisions, we can help you go from experimentation to implementation.