Understanding AI in Healthcare: What Businesses Need to Know

 Mar 07, 2024 | 5 Min Read

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Artificial intelligence (AI) is progressing at breakneck speed and revolutionising industries all over the world – including healthcare. AI healthcare offers doctors and patients the chance to improve care, streamline processes, and future-proof community health measures. But for businesses unfamiliar with the AI healthcare movement, how should they dive in? In this blog post, we'll explore what businesses need to know about the AI healthcare revolution and how they can leverage AI-driven solutions to thrive in the rapidly changing landscape.
In a nutshell, AI in healthcare is the process of utilising AI for all kinds of medical functions, from interpreting results to creating treatment plans to automating administrative tasks. We all know that AI can save huge amounts of time and resources when used correctly, and the healthcare industry is no different. There are huge opportunities for improving patient care – but there are also many factors that healthcare professionals are wary of. 
There are a huge number of benefits to utilising  AI correctly in healthcare. Here are just a few to consider:
AI algorithms can analyse medical images, test results and patient data with greater speed and accuracy than many humans. This can lead to more accurate diagnoses and early disease detection.
AI-powered automation can make many administrative processes more efficient, such as appointment scheduling, billing, and medical coding. Automating these tasks can reduce the burden on medical professionals and free their time to focus on patient care.
By analysing large amounts of data around local populations, AI can identify high-risk patients, predict disease outbreaks, and target interventions to prevent disease progression – which can all contribute to reducing costs for healthcare providers.
One of the most important factors of AI in healthcare is how it can improve the patient experience. AI-powered virtual health assistants can provide patients with personalised health advice, medication reminders, and support for managing chronic conditions – meaning patients can receive the care they need at home, and reduce costs and resources for providers.
AI technologies drive innovation in healthcare research by enabling the analysis of large datasets, identify trends and uncover insights that inform medical advancements.
While AI offers many benefits in healthcare, there are also several concerns that should be considered moving into the future. These include: 
AI systems rely on vast amounts of sensitive patient data, which can raise concerns about privacy breaches and unauthorised access. That’s why healthcare providers must ensure that robust data protection measures and compliance with regulations such as GDPR and HIPAA are followed.
AI algorithms are only as good as the data they’re trained on – much of which can contain inherent biases for certain demographic groups. Addressing biases in AI systems and ensuring fairness and equity in healthcare delivery is crucial to prevent discrimination and promote health equity throughout treatment.

AI algorithms can be complex, making it difficult to understand how they arrive at their decisions and predictions – which is important information for patients to know. Lack of transparency in AI systems can erode trust among healthcare providers and patients. They must be used ethically and responsibly to uphold patient rights, autonomy and wellbeing.


Addressing these concerns requires collaboration among healthcare stakeholders, policymakers, regulators, technologists, and ethicists to develop robust governance frameworks, ethical guidelines, and best practices for the responsible use of AI in healthcare. By proactively addressing these concerns, we can harness the potential of AI to improve healthcare outcomes while safeguarding patient privacy, fairness, and safety.

AI in healthcare has already been a priority for many investors, and only looks set to increase. The healthcare AI industry in the US is expected to grow from $5 billion in investments in 2020 to over $45 billion by 2026. In the first quarter of 2021, investment in AI startups grew by 140% over the previous year.
To fully capitalise on the opportunities presented by the AI healthcare revolution, businesses should look at investing in the ground up – specifically in talent development. Hiring skilled data scientists, AI engineers, and healthcare domain experts is essential for developing and deploying AI-driven solutions effectively and ethically. Having the right experts at work means that AI will be more likely to provide great healthcare for patients in future.