How Is AI Being Used in Healthcare: Benefits and Future

In one striking case, a surgeon at the West Los Angeles VA Medical Center operated on the wrong side of a patient, leading to a malpractice case of $200,000.

Errors like this highlight the risks of human oversight in healthcare. Today, AI is stepping in to minimize such mistakes by ensuring accurate diagnostics and streamlined workflows.  

In this blog, we’ll explain how AI is used in healthcare today and its future trajectory. 

Whether you’re a healthcare professional, policymaker, or tech enthusiast, you’ll leave with a clearer picture of how you can use AI to overcome challenges and fast-track goals at your healthcare organization—and how you can hire a coder to get there.

How Did AI Become Popular in Healthcare?

Over the past decade, AI has gained significant traction in the medical field, driven by advancements in machine learning and data analytics. 

The turning point came when healthcare leaders realized AI's potential to improve patient outcomes and streamline medical practices dramatically.

Take heart disease, for instance. A study combining Convolutional Neural Networks (CNN) with Long Short-Term Memory (LSTM) units achieved 89% accuracy in classifying heart disease, with a promising specificity of 93%.

Using these AI-driven methods in your healthcare organization can offer new ways to analyze complex medical data, enabling more accurate diagnoses and saving lives.

How Can AI Be Used in Healthcare: Business Applications To Try In 2025

AI is shaking up healthcare, helping medical businesses cut through administrative chaos, avoid medication errors, and offer patients faster and better care. 

 

Simplifying Administrative Tasks

Let’s face it—paperwork is a time drain. You’d rather focus on patients than coding diagnoses or summarizing reports, right?

That’s where the use of AI can come to your healthcare organization’s aid. It handles mundane tasks like note-taking, accurate medical coding, and even organizing billing. By automating these workflows, AI frees up your time for face-to-face care. 

Virtual Nursing Assistants

AI-powered virtual nurses, which can be chatbots and apps, can answer medication questions, forward reports to doctors, and even help patients book appointments.

It’s like having an extra set of hands to manage routine tasks so you can focus on what only you can do—providing compassionate, human care. And patients? They love the instant support and convenience.

Reducing Medication Errors

The use of AI tools can flag procedural errors in your healthcare organization, helping you ensure patients administer medication correctly.

Whether it’s monitoring an insulin pen or catching dosage mistakes, AI acts like an extra layer of safety. It’s here to give you peace of mind by letting no detail slip through the cracks.

Preventing Healthcare Fraud

Fraud in healthcare isn’t just a financial issue—it hits patients, too, hiking up premiums and out-of-pocket costs. AI’s got your back here.

It spots suspicious patterns, like billing for unperformed procedures or breaking up a single operation into multiple charges. By flagging these anomalies early, AI ensures honest practices and saves everyone money.

How Is AI Being Used in Healthcare: Get Inspiration and Ideas From These Use-Cases

AI is rapidly reshaping healthcare, and the numbers back it up.

In the USA alone, the AI healthcare market is expected to grow from $11.8 billion in 2023 to $102.2 billion by 2030—a staggering 36.1% growth rate.

From improving patient experiences with smarter apps to managing massive datasets more efficiently, AI is stepping in where precision and speed matter most.

Early Disease Detection

By analyzing complex medical data swiftly, AI helps identify conditions like cardiovascular diseases with remarkable accuracy.

This means you can detect issues earlier, plan treatments more effectively, and ultimately improve patient outcomes. With AI as your diagnostic partner, you're equipped to make more informed decisions, enhancing the care you provide.

Breakthroughs in Drug Discovery

Developing new drugs is a long, costly journey, but AI is speeding things up for the healthcare sector.

By cutting down thousands of human hours, AI is making it easier to get lifesaving medications to market while keeping costs in check. It’s precision science with you in the driver’s seat.

Improving Patient Experiences

Patients want care that feels personal and efficient, and AI’s helping deliver just that. It supports digital tools for reminders, tailored health tips, and faster diagnoses, ensuring smoother visits.

The result? Happier patients, shorter wait times, and more personalized care. With AI handling the small stuff, you can focus on building trust and connection where it matters most.

Ethical Challenges of AI in Healthcare and How to Overcome Them

The use of AI in healthcare comes with its share of ethical hurdles, but they’re not insurmountable. 

Building Transparency in AI Systems

Issues like informed consent, data privacy, and algorithmic biases often raise eyebrows. You might wonder: How can we trust AI systems to make life-altering decisions?

Transparency is the key here—both patients and clinicians need clear, accessible information about how algorithms work and why certain recommendations are made.

Ensuring Safety Through Rigorous Testing

Safety is another important factor when putting AI to use in healthcare. AI systems need rigorous testing, just like new medications or medical devices. Think of it as building a solid safety net to ensure these tools perform reliably under real-world conditions.

Defining Accountability in AI Decision-Making

Then there’s accountability—AI might seem like a "black box," but defining responsibility is crucial. Clear governance can ensure someone is always answerable for decisions.

Steps to Ensure Clear Governance in AI Decision-Making

• Create Oversight Mechanisms: Form regulatory bodies or committees to oversee AI implementation, ensuring compliance with safety and ethical standards.
• Assign Responsibility: Clearly identify and hold accountable the stakeholders (developers, operators, or healthcare providers) responsible for AI decisions and outcomes.
• Continuous Monitoring and Auditing: Regularly assess AI systems for performance, fairness, and compliance, updating governance practices as technology evolves.
• Engage Stakeholders: Involve patients, clinicians, and policymakers in discussions about AI’s role and accountability to build trust and ensure balanced decision-making.

Put AI to Use in Your Healthcare Organization

AI is now a practical and proven way to solve persisting challenges in healthcare.

From reducing errors in medication administration to enabling faster diagnostics and improving patient care, AI is helping healthcare organizations like yours overcome inefficiencies and improve profitability.

At HireCoder AI, we match you with coders experienced in working with industry leaders who understand the unique nuances of compliance, patient safety, and data privacy. 

Whether you’re looking to automate administrative tasks, streamline workflows, or enhance patient experiences, we’ll tailor AI solutions that directly address your pain points.

Why wait? With HireCoder AI, you’re investing in a platform and people to outperform competitors, save time, and ultimately deliver better outcomes.

The challenges you’re facing don’t need long-term planning—they can be resolved today. Contact us today, and let’s get started.

FAQs

• How is AI being used in healthcare?
  AI is used in healthcare for tasks like disease diagnosis, drug discovery, robotic-assisted surgeries, data management, and virtual nursing assistants. It enhances efficiency, accuracy, and personalized care while freeing up clinicians to focus on patients.
  
  
• What are examples of AI medical devices?
  AI medical devices include wearable health trackers, AI-powered imaging tools, and robotic surgical systems like the da Vinci Surgical System. These devices assist in monitoring health, diagnosing conditions, and performing precise surgeries with reduced complications.
  
  
• How will AI take over healthcare?
  AI won’t replace humans but will complement them. It’ll automate repetitive tasks, assist in clinical decisions, and improve patient outcomes. Human oversight will remain essential to ensure empathy, ethical practices, and accountability in healthcare.
  
  
• How is AI applied in healthcare?
  AI is applied in analyzing medical data, predicting diseases, improving diagnostics, personalizing treatments, and enhancing operational efficiency. It’s also used in patient engagement tools, such as chatbots and virtual assistants, for better healthcare access.