Till now, AI has been helping sectors create impactful solutions to offer better assistance to people. Now, agentic AI is a new emerging technology helping to unlock new potential to deliver solutions—especially in healthcare, where opportunities are unlimited and demand innovations to provide comprehensive care. Agentic AI in healthcare is proving to be a problem solver for many clinical tasks. Additionally, it is assisting healthcare providers by automating daily health assessments, creating personalized treatment, RPM, drug development, and more.

In this blog, we will explore all about agentic AI’s relevancy in healthcare. And what strategies can help ai agents in healthcare app development? But first, we will answer the question that may have come to your mind while reading above, which is—what is agentic AI?

Agentic AI is an advanced artificial system that autonomously works by making decisions, planning actions, and executing processes. It works on the MLLP model. It requires the least human interaction but a predefined goal to act accordingly and accomplish the end.

How Agentic AI is Being Used in Healthcare?

As defined, agentic AI helps in all aspects—from medicine to operations, and telehealth to diagnosis. If rightly utilized, it helps in revolutionizing healthcare inside out.

Managing Clinical Tasks and Resources for Patient Care

One of the most time-consuming tasks in primary healthcare is managing daily clinical activity. Daily operations include completing paperwork for proper documentation and allocating duties to hospital resources. These not only take time but also occupy a staff member. While clinical staff still have to attend to their regular medical duties, such tasks exhaust them. When integrated into the infrastructure and daily tasks, Agentic AI understands and automates the administrative process. This frees up medical staff from tedious tasks and allows them to invest time in in-person patient care.

Medicine Research

There is no doubt that drug experiments and development are time-consuming processes. Additionally, testing is a risky process. Agentic AI incorporation in the process helps speed up the complete procedure. On virtual human models, agentic AI provides insight into drug effects and body triggers. This allows researchers to create insightful reports to study the compositions and run the next trials sooner. Agentic AI will also help in suggesting the percentage changes of composition along with their effects, helping researchers take action for quick delivery of effective drugs to the market.

Patient Monitoring and Telehealth

Agentic AI has advanced remote patient monitoring solutions and telehealth features. It tracks vitals and patterns and recognizes medical conditions. This helps reduce staff interference in tracking and sending reminders, as agentic AI does this automatically. The monitoring also helps in prompting the required action, such as a quick consultation with doctors to make a change in treatment or dosage for medicine. Agentic AI improves proactive care.

Potential Challenges Related to Agentic AI

Data Privacy and Compliance

There is a risk of losing patients’ health information, which is against any regulated healthcare body policies. HIPAA compliance is a must to protect patients’ confidential data.

Inefficient Integration with Existing System

Incorrect integration of AI with the existing healthcare infrastructure would interfere with work coordination among providers, staff, and IT management. Furthermore, it will result in the loss of invested costs.

Unreliability and Inaccuracy

Unreliable AI solutions increase the chances of misreading and misinterpretation of information. This risks patients’ lives by worsening their health condition and also confuses healthcare providers.

Strategic Implementation of Agentic AI in Healthcare to Overcome the Challenges

Implementing one of the most transformative technologies in healthcare requires careful planning and strategy. Here are some factors that, if kept in mind, will make the implementation process smooth.

Identify the Gaps in Operations

Find the tasks that are increasing the burden on healthcare operations. Appointment scheduling, prescription checks, and—if required—renewing or filling forms for patient walk-ins are some of the tedious and time-consuming tasks. Similarly, identifying more tasks that can be easily automated would help in focusing where AI integration would benefit.

Goal Setting

After identifying the gaps, it becomes important to know what the final expectation is from AI integration in a particular task. Therefore, a clear goal with a timeline is necessary to track progress after implementation. This will help in the evaluation of success.

Data Segregation

After setting the goal, the next step is to collect and organize all the data. It will help in visualizing the task and the process to execute in a step-by-step manner. This data will then be fed to agentic AI not only to automate but to improve and ensure accurate decision-making for the clinic.

Partnering

Another crucial strategy is to connect with an expert team that has been providing AI solutions to the healthcare industry for many years. Your initiative will not be impacted due to technical hurdles and will help achieve the objective.

Timely Check and Upgrade

Generally, this is skipped by many. It is necessary to timely assess the implemented AI. Refinement is a must after observing the outcomes. Also, one must not neglect the advancement and evolution of technology and healthcare.

Empowering Healthcare System with Agentic AI

Many healthcare providers are already utilizing artificial intelligence to streamline their operations. Tasks like scheduling, documentation, and other routine activities are being efficiently handled by AI. However, to make a real impact in day-to-day healthcare operations, integrating agentic AI is a smarter, forward-looking decision. It not only ensures better coordination but also executes tasks on time with minimal errors.

Agentic AI functions much like a human—learning from previous actions and adjusting its processes to achieve desired outcomes. This makes it a more intuitive and natural fit for healthcare environments, enhancing both workflow efficiency and the quality of interactions.

At TechRev, an AI app development company​, the team understands the critical role of agentic AI in modern healthcare. That’s why we design solutions that seamlessly integrate with existing systems—overcoming challenges and delivering meaningful transformation at every step.