6 Use Cases of AI Use in the Healthcare Industry

It’s clear. Artificial intelligence (AI) is revolutionising the healthcare industry. 

Better, more efficient and accurate diagnoses. The streamlining of administrative tasks. Improving patient outcomes. The list goes on.

And fast.

In fact, according to Statista, the AI in healthcare market is forecast to be worth almost £154,90 billion by 2030.

So what else is AI capable of doing to change the face of healthcare in the coming years? Take a look at these six real-world examples of AI enablement in the healthcare industry.

6. Diagnosis and Treatment Planning 

AI algorithms can analyse medical images, such as CT scans and MRIs, to identify abnormalities and suggest a diagnosis. 

For example, it’s been shown that AI-powered systems have been shown to detect breast cancer and other types of cancer more accurately than human radiologists. 

According to a study published in the Egyptian Journal of Radiology and Nuclear Medicine, an AI algorithm was able to identify breast cancer in mammograms with an accuracy of up to 96%. Which is higher than the accuracy of radiologists.

Not only that, but AI can also be used to create personalised treatment plans based on a patient’s specific medical history and needs.

5. Clinical Decision Support 

AI is able to analyse patient data and provide doctors with recommendations for treatment. 

For example, an AI system might analyse a patient’s medical history, lab results, and current symptoms to suggest a diagnosis and treatment plan. This can help doctors make more informed decisions and reduce the risk of medical errors.

A 2018 study published in The Lancet Digital Health found that an AI algorithm was able to diagnose a rare genetic disorder with 100% accuracy, whereas a panel of experts only had an 85% diagnostic accuracy. 

4. Drug discovery and development: 

AI can help identify potential new drugs, as well as predict their efficacy. 

Researchers are using AI algorithms to identify new compounds that could be developed into drugs for cancer and other diseases.

According to a report by Accenture, AI-powered drug discovery could save up to £123,64 billion by 2025. 

3. Predictive analytics:

AI can be used to analyse data from electronic health records and other sources to predict patient outcomes and identify potential risks. 

This can help healthcare providers intervene before a patient’s condition worsens, potentially improving outcomes and reducing costs.

According to ITRex, healthcare professionals can benefit from predictive analytics in the following ways:

  • Reducing costs on appointment no show and readmission penalties.
  • Speeding up administrative tasks such as discharge procedures and insurance claims submission.
  • Preventing ransom and other cyberattacks by analysing ongoing transactions and assigning risk scores.
  • Proactively preparing for upcoming population health trends
  • Acquiring new patients through personalised campaigns

A study published in the Journal of Medical Internet Research found that an AI algorithm was able to accurately predict patient outcomes, such as readmission to the hospital, with an accuracy of up to 96%

2. Patient monitoring: 

AI-powered devices, such as wearable monitors, can continuously track a patient’s vital signs and alert healthcare providers if there are any abnormalities. 

Which can be particularly useful for patients with chronic conditions, who might require close monitoring.

A report by The Business Research Company, estimates that the global market for wearable medical devices will reach £22.55 billion by 2023.

1. Administrative tasks: 

Finally, AI can be used to automate administrative tasks. 

This includes scheduling appointments, managing electronic health records, and processing insurance claims. 

Which can free up time for healthcare providers to focus on patient care, rather than time-consuming administrative tasks.

In fact, Keona Health reveals that:

  • AI-powered self-scheduling reduces call volumes by 20-40%, relieving significant pressure on staffing.
  • 4 in 5 patients prefer physicians who offer online scheduling. 
  • AI-powered self-scheduling allows over 90% of calendars to be available to patients online, leaving fewer gaps.

Learn More About How The AI Revolution Is Changing The World

AI is proving to have the potential to greatly improve the efficiency and effectiveness of the healthcare industry. 

By enabling more accurate diagnoses, streamlining administrative tasks, and improving patient outcomes, AI can help to deliver better care to patients and drastically reduce costs for healthcare providers.

*Want to learn more about the impact of AI on various industries? Check out our blog!

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