Advantages and disadvantages of artificial intelligence in healthcare

Artificial intelligence (AI) is changing the way the healthcare industry operates, helping to improve everything from routine tasks to data management and drug creation. The healthcare industry is always evolving and looking for ways to improve, so it’s no surprise that healthcare providers and businesses are taking onboard machine learning and AI.

What is artificial intelligence in healthcare?

Machine learning and AI in healthcare can provide data-driven support to medical professionals. Using algorithms and data, these technologies can identify patterns and deliver automated insights that help with common applications such as health monitoring, managing medical records, treatment design and even digital consultations. Read our blog post here on 10 common applications of artificial intelligence in healthcare.

While there are many obvious benefits of AI in healthcare, some debate the pros and cons of the financial and clinical implications of relying on algorithms and data-driven technology for patient care. To explore both sides of the debate, we’ve put together the current advantages and disadvantages of artificial intelligence in healthcare.

Advantages of artificial intelligence in healthcare

  • Ability to analyse data and improve diagnosis
    AI-equipped technology can analyse data much faster than any human, including clinical studies, medical records and genetic information that can help medical professionals come to a diagnosis.
  • Carry out administrative and routine tasks 
    AI can automate many routine tasks, such as maintaining records, data entry and scan analysis. With less time being spent on administrative tasks, medical professionals can place more focus on patient care.
  • Health monitoring and digital consultations
    From wearable health tech, such as the Apple Watch and FitBit, to digital consultations via your smartphone, AI can allow people to monitor their own health, while also providing healthcare professionals with essential data.


  • Training complications
    AI technology needs to be extensively trained with curated data sets in order to perform as expected. However, due to privacy concerns, it can be difficult to access some of the data necessary to provide AI learning with the breadth and depth of information it needs.
  • Change can be difficult
    In any industry, change can prove challenging. Since the healthcare industry is crucial for patient care, the medical community need proof that AI will be effective, as well as a plan to show investors it is going to be worth the cost. Everyone working alongside AI technology will need to have an understanding of this technology and how it can assist them with day-to-day tasks.

Here at CHG-MERIDIAN, we provide tailored solutions to fit your healthcare technology budget, enabling you to embrace the intelligent solutions of the Information Age with confidence. To find out more about how we can support your healthcare technology project, please don’t hesitate to get in touch.

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