AI in Healthcare - 4 Use Cases You Can’t Ignore

Artificial intelligence is reinventing digital footprints of the healthcare industry with innovative, value-driven, and customer-centric solutions. From detecting life-threatening diseases early to providing personalized treatment plans, AI is digging deeper into healthcare systems for the good.

Why am I saying this? Well, just look at the numbers. The worldwide AI healthcare market is predicted to touch $187 billion by 2030, growing at a 38% CAGR. Isn’t that astonishing? That’s the primary reason top healthcare entities are seeking artificial intelligence development services to integrate AI solutions into their systems and capture a big chunk of the market.

Beyond the hype surrounding enterprise AI solutions for healthcare, is it really worth the investment? I’m sure you must have this thought. To be brutally honest, yes! However, only if you implement AI-powered solutions according to your business needs.

This blog will discuss how AI for healthcare is driving measurable impact through various use cases. And how can decision-makers leverage artificial intelligence to build a resilient, scalable, and future-ready healthcare system? Let’s get started.

Top 4 Use Cases of AI in Healthcare

In this section, we'll discuss how artificial intelligence technology is restructuring the entire healthcare sector through its diverse applications.

1- Catching Disease Early

Misdiagnosis can be really fatal. In fact, a recent study shows that diagnostic errors affect more than 12 million Americans every year. Among them, 40k to 80k results in death associated with improper and delayed diagnosis. However, AI is becoming the catalyst for this change.

How AI is changing Healthcare with AI-powered Diagnostics

• Radiology and Imaging: AI-driven algorithms have become so advanced that they analyze X-rays, MRIs, and CT scans with utmost accuracy. For example, Google’s DeepMind can detect breast cancer from mammograms with 80-90 percent accurate results.
• Pathology: AI in healthcare is also helpful in pathology. Startups such as PathAI utilize machine learning to pinpoint cancerous tissue patterns during biopsy, thereby reducing human error in labs.
• Early Warning Systems: AI models, especially LLMs, have the capability to predict diseases like sepsis and heart failure early on, even before symptoms appear in the patient. This gives doctors a head start, allowing them to diagnose properly.

Healthcare entities can partner with an AI software development services provider to create an app or system that integrates AI and offers the aforementioned functionalities.

2- Offering Personalized Medicine to Patients

For many decades, medicine followed a trial-and-error methodology. Patients got almost the same treatments, which later resulted in side effects. However, with the introduction of the healthcare enterprise AI solutions, things are streamlining a bit.

Role of AI in Precision Medicine

• Genomic Analysis: Tempus, a renowned company, uses AI to identify a patient’s DNA so that it can provide personalized therapies and medication, which increases survival rates.
• Drug Discovery: What took years to find and develop a drug for rare diseases can now be achieved in months by leveraging AI in the drug discovery process.
• Predictive Treatment Plans: This is a significant aspect of using AI in healthcare. For example, IBM Watson for Oncology accesses thousands of medical journals to create a personalized treatment plan based on a patient’s unique profile.

Personalized medicine helps provide accurate treatments with fewer side effects. It means offering the right medication to the right people at the right time.

3- Accessibility with Chatbots/Virtual Assistants

According to a report, the average American waits 24 days to see a doctor. But with AI-driven chatbots and virtual assistants, things are improving. Patients don’t have to wait for hours or even stand in a lengthy queue. AI chatbots are reducing this gap with instant query resolutions and reliable medical support.

Let’s see how AI-powered virtual assistants are offering innovative care delivery below:

• Symptom Checker: One of the best features of virtual assistants is that they are present 24/7 through apps and websites. Individuals can seek necessary information related to health concerns without visiting the clinic or scheduling an appointment.
• Apart from that, apps like Ada and Buoy offer preliminary guidance and suggest next steps, reducing patient triage. AI chatbots remove language barriers as they support multiple languages, which are extremely helpful for non-English speakers.
• Mental Health Support: Mental health chatbots provide emotional support, psychoeducation, and even increase self-awareness. They also offer anonymity for individuals to seek any kind of medical support without being judged, which reduces social stigma.

Woebot and Wysa also offer AI-led cognitive behavioral therapy (CBT) that reduces anxiety and depression in real-time.

Chronic Disease Management: Sensely’s AI nurse, “Molly,” monitors patients with chronic diseases like diabetes & hypertension. It also sends timely alerts before the symptoms get worse.

The bigger picture is that custom AI chatbots or virtual assistants are not here to replace doctors. They extend their medical care reach. If you are a healthcare institution, then you can consult with an artificial intelligence software development company to build interactive chatbots.

4- Predictive Analytics to Predict Outcomes

Hospitals lose more than $260 billion per year due to inefficiencies. Nonetheless, the situation is turning around with AI-assisted predictive analytics. It forecasts patient needs before they become a hurdle.

Let’s explore how AI in hospital operations is redefining the industry.

• Reducing Readmissions: Healthcare providers can leverage AI to reduce hospital readmissions through proper care transitions, patient engagement, and solving social determinants of health. It includes AI-based discharge plans, scheduled, and follow-ups
• Staff Optimization: GE Healthcare’s Command Center uses AI to predict ICU bed demand, check for staff attendance, and prevent any future hurdles.
• Preventive Care: Jvion’s AI identifies high-risk patients through profile analysis and checks patients' past medical history to prevent deterioration and save lives.
• Predictive analytics is not just about predicting future outcomes; it’s about preventing disasters before they occur.

Final Thoughts

Use cases of AI in healthcare are not limited to the above-mentioned ones. They are endless. AI helps in the diagnosis, treatment, and prevention of diseases. Artificial intelligence has become a lifesaving partner in modern medicine, from identifying cancerous diseases to offering personalized medications. Remember to seek assistance from an AI development company so that they can build AI solutions according to your business needs.

Artificial Intelligence Technology