Agentic AI is Disrupting Healthcare Service
AI is changing almost every industry that we know of. In healthcare, it is proving to be widely disrupting - starting from the way the healthcare data is used to revolutionizing patient care and medical consulting. You may have already heard of deep impact of AI algorithm in predictive analysis in healthcare. Agentic AI takes it two steps forward. It integrates everything to give a unified and powerful service interface that you haven't seen yet.
Imagine while you are checking your patient, your assistant is already pulling all the reports for her, analyzing the data for predictive patterns that you are looking for, displaying that analysis in a visual format that you are most used it and suggesting possible options for you to pick and recording your advise while you explain that to the patient. The Agentic AI can be this super-efficient highly knowledgeable, smart assistant that you always wanted.
It's an AI system that doesn’t just help doctors and staff make decisions; it makes the decisions itself. It analyzes data, interprets information, and takes action—all with minimal human intervention. Imagine an AI that can read your patient’s medical chart, diagnose their condition, and recommend a treatment plan, all in real-time.
It can simplify regulation compliance for the hospital administrator. It can assist the operation head in analyzing and recommending the area that require closer scrutiny. It can collaborate with other agents in completing a tasks. It can take up the role of front desk agents when needed.
Cut the time in decision making
Imagine this: a patient comes into the emergency room with chest pain. Traditionally, a doctor would order a series of tests, wait for results, and—after all that time—determine if it’s a heart attack. That’s a lot of time for a patient who could be in serious danger. With Agentic AI, the AI can analyze all the data in minutes, compare it with thousands of similar cases, and flag the critical risks immediately. In fact, studies show AI systems can improve diagnostic accuracy by up to 30% compared to human doctors alone. That means fewer mistakes, quicker decisions, and better outcomes.
Fundamental elements of Agentic AI
- It uses multi-modal Large Language Model as the engine (e.g. chatgpt or anthropic or Google Gemini) trained with specific body of knowledge
- Autonomy in decision making - given a role, it can take its own decision based on the data it processed.
- Mimics human goal-oriented behaviour - changes strategy in real time to fulfill the goal
- Continuous learning - It learns on the job! While processing the data, creating the decision maps it also refines its inference engine based on new learning
- It works in real time
The Dollars and Cents: What’s the ROI for a Mid-Sized Hospital?
There is no denying that Agentic AI will require sizeable investment.
On average, the cost of implementing Agentic AI in a mid-sized hospital can range anywhere from $1 million to $5 million, as per an estimate. That includes software, integration with existing hospital systems, and training staff to use the new tools.
But here’s where things get interesting: the ROI is rapid. Hospitals that adopt Agentic AI typically see a 20-30% reduction in administrative costs. With less paperwork, fewer human errors, and faster patient turnover, hospitals can start saving money in a matter of months.
Let's break it down to the avenues where it can help
- Automating routine administrative tasks (like scheduling, billing, and patient inquiries) reduces the need for manual labor, cutting down on staffing costs.
- Fewer diagnostic errors translate to fewer malpractice claims and a reduction in unnecessary treatments.
- Better resource allocation means optimized bed usage and staffing, reducing the costs associated with inefficiencies.
Would this be another isolated system like EHR software? Actually the power comes in integrating the agentic AI into your back-end so that it can 'see' the patterns in the data-stream and alert you on beforehand.
Pitfalls ?
There is one area of concern that everyone is conscious about. It can potentially give access (to the hospital's internal data) to Agentic AI provider. There are both technical and legal remedies available to mitigate that risk
Summary
According to a report by Deloitte, AI in healthcare has the potential to generate $150 billion in annual savings for the US healthcare system alone.The thing is that the technology is almost here with the most competitive lot already moving ahead of the curve. Better care, smarter decisions, streamlined operations, and lower costs—that’s the power of Agentic AI.