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But is AI already making a difference?

AI tools for healthcare have a lot of potential, and with AI in the healthcare market predicted to be worth over $148 billion, there is a lot of expectation.

How can artificial intelligence benefit healthcare? 3 examples

We all know that AI uses machine learning. But how exactly does machine learning benefit healthcare? Well, let’s break down the “how” with three examples.

1. Machine learning benefits healthcare with diagnostics and treatment

AI systems use machine learning algorithms to analyze and learn from historical data. For example, in healthcare diagnostics, an AI can be trained to identify tumors.

How is this done?

The AI-enhanced technology feeds thousands of images, such as X-rays and MRIs. Each image builds up the AI’s understanding of tumors. When you give it specific patient information or images, it can immediately identify and diagnose them accurately.

2. Natural Language Process (NLP) aids healthcare administrators

It can be a little distracting if your doctor has a person doing the transcript of your entire conversation. It could also be a little invasive for the doctor to record your conversation. However, having a record of your descriptions of symptoms and interactions could hugely benefit your sessions.

AI, specifically NLP, can capture and document all useful information without a third party or recording device. So, the doctor’s and patient’s experiences can be undisturbed and documented simultaneously.

3. Predictive analytics application to the bigger picture in healthcare

Imagine a patient comes in with a few strange symptoms. A couple of miles away, a different patient displays the same symptoms. Those two healthcare professionals wouldn’t be aware of each other, even if both patients potentially had the same issue.

But if the same doctors were using the same AI technology, they would be connected in seconds, thanks to the technology. From that point, they could work together to solve the case.

Applying machine learning to historical health data and real-time health monitoring systems can use the information to predict potential challenges for individuals. It can also predict outbreaks by recognizing emerging data patterns that resemble previous epidemics.

What are the challenges of AI in healthcare?

The benefits of how healthcare can be revolutionized by AI sound like a huge leap forward for the industry. However, healthcare professionals have raised concerns about certain items that need to be addressed before everyone jumps on board, including:

  • Data privacy and security: As you can imagine, healthcare data is highly sensitive. Numerous regulations and acts are based on data security. Some believe that having AI technology that stores, collects, and processes large amounts of personal health information conflicts with these regulations. Or, at the very least, it could be a problem if that technology was hacked and that information leaked.
  • No explanation: As AI uses what is defined as “deep learning,” many conclusions or results cannot be explained. There is no answer to its process or what guided it. This causes healthcare professionals to be uncertain —they are unsure of how the diagnostic was determined and, therefore, won’t be able to explain to patients either.
  • Varying accessibility: A high-tech hospital in a first-world city might have access to the latest software. However, a healthcare professional in a rural area might not. Healthcare systems that use outdated software might not integrate with AI applications. Healthcare professionals who are behind with technology in general might also have resistance, as they may be learning a new system.
  • Job security concerns: There is a lot of excitement around AI technology, as it can automate tasks and perform the duties of a team in seconds. This causes concern for employees who might be nervous about job displacement.

AI tools in healthcare examples

Despite the challenges and hesitation by some healthcare professionals, there are already AI programs being used in the industry.  Let’s look at some of the best AI tools currently available for healthcare.

1. Twill: AI treatment plan

AI in Healthcare

Twill partners with employers, health plans and pharma companies, all within one unified platform. It gives patients a single place to have all their information, with medication scripts and ordering capabilities.

They have different apps, such as ones focused on mental health or chronic care, depending on your needs. They also have options for companies wanting to give their employees healthcare options under one umbrella.

2. Patient record management system

Top AI tools for Healthcare allows professionals to upload images and make AI comparisons to generate suspected diseases.

As with all AI, healthcare professionals can access information in real time and get advice immediately, not having to wait for departments to open or for other professionals to be at work. This accelerates the time it would take for a patient to be diagnosed and treated.

From there, the system notifies all relevant departments or specialists needed to move forward and allows everyone involved to communicate on one platform.

They currently have a number of specialist areas they can offer their services, including neurology, trauma, radiology, cardio and vascular. They have partnered with over a thousand hospitals in the US and Europe, each one continuously contributing to refining the AI’s understanding of healthcare.

The result is a system can accelerate patient care through AI technology.

3. Merative (Formerly IBM Watson Health): Data management

Healthcare AI Tools

IBM has created a wide range of AI technologies for different sectors, including customer care, marketing and, now, healthcare.

Health Insights is one of the solutions they offer, which allows organizations to gain insights into analytics. The statistics are displayed in real time, and the client can select which categories they want to get further information on, from the costs per patient to quality metrics. AI can perform predictive analytics and provide scalability.

Which AI is good for medical students?

AI isn’t only in the professional realm — it has also penetrated the scholarly sector. Of course, medical education facilities have always used technology as much as possible to create live simulations and data capture for students, but now they are including AI in their toolkit for the next generation.

Here are a few tools to consider:

  • MedQBot: A chatbot that allows students to ask questions and have conversations about areas they need help with.
  • Anki: An AI-enhanced flash card app that students can use for practice tests and to check their knowledge.
  • MedMastery: An online skills platform for clinicians with the added benefit of AI. The AI technology comes with a chatbot to help students through the courses. Students also use it behind the scenes to help with their workflow, generate examples, practice case studies for the courses, and access AI images.

AI Healthcare Tools

Can AI be used for healthcare marketing?

Yes, AI has changed the landscape of healthcare marketing in several areas. The insights and behavior patterns can influence how professionals reach and communicate with their customers. AI has the ability to personalize and help focus on specific markets.

A great example of this is the MarketingCloudFX platform here at WebFX. We have integrated AI technology into our client’s platform, which allows them to get insights into user movement and behavior when they interact with their website!

Use AI tools in marketing your healthcare facility

WebFX has created a platform for our clients that is enhanced with AI capabilities to help clients better understand their marketing campaign data.

Want to see us in action? Check out this healthcare case study where we increased ROI with SEO and PPC marketing for our client, Centrak®.

Want to know more? Contact us online or call us today at 888-601-5359 for a customized, no-obligation quote. We can’t wait to hear from you!

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