Long term
- published on 2/21/2025
- 4min
What role is AI playing in transforming healthcare?
By 2030, the global AI healthcare market is to set to be worth USD 208.23 billion, highlighting its potential to transform this landscape and improve its operational efficiency.1
4. Emergency and critical care
From enhancing personalised healthcare and streamlining workflows, to aiding medical research and providing faster diagnostics, there are a range of ways that AI can be used for innovation within healthcare.
Let’s take a look at how AI could be incorporated in this field to provide solutions for patients and meet the growing demand for healthcare services.
1. Streamlined workflows
Artificial intelligence can be utilised in healthcare to improve productivity. It has the ability to automate routine tasks such as patient billing, appointment scheduling, and document generation to make processes quicker.
It can enable doctors to plan appointments with greater ease by providing important patient data and giving a concise summary of their medical history. This enhances accuracy and saves healthcare professionals valuable time for the appointment.
AI could also streamline workflows in supply chain management, such as monitoring stock levels, lessening waste and automating procurement. This can reduce costs by digitising time-consuming processes and lowering the likelihood of overstocking medical supplies.
One way AI can enhance efficiency for providers is by answering common patient queries, providing appointment support and managing any follow-ups, increasing overall patient satisfaction and simplifying processes.
2. Improved diagnostics
A key way that AI could be beneficial within healthcare is by offering faster and more accurate diagnostics, which can improve patient outcomes.
Advanced AI medical imaging, including in x-rays, MRI and CT scans, enables quicker health screening and aids in the early detection of conditions such as cancer, heart disease or glaucoma.
By analysing large datasets and detecting patterns and correlations, AI may assist in the diagnosis of rare diseases. This can simplify complex processes, where researchers must examine large amounts of information manually to learn about the disease, often when there are limited details available.
Artificial intelligence might also be utilised within lab testing to detect the presence of diseases, allowing for greater precision. It can automate the analysis of samples to reduce human error and optimise workflows in labs to speed up tracking and results processing.
3. Personalised healthcare
The popularity of digital health solutions is on the rise around the world, with the global market set to be worth 1.1 billion USD by 2032.2
AI analyses data from a range of sources, including wearable devices, electronic health records (EHR), and genetic information, to provide tailored healthcare solutions to individuals.
It can be advantageous in the management of chronic diseases like heart disease, arthritis and multiple sclerosis. Artificial intelligence utilises remote patient monitoring (RPM) and predictive analytics to offer bespoke care for individuals.
Additionally, AI could help dieticians to create nutritional plans that are based on insights from a range of data sources. This technology can use insights from data to assist with weight loss strategies, nutrient tracking and performance optimisation for sports professionals.
Finally, AI can also be applied in disease prevention. It could be used to analyse a patient’s medical data and utilised for real-time monitoring of technology like wearable devices, to predict the likelihood of future diseases.
4. Emergency and critical care
A potential area for growth for AI and healthcare is in the field of emergency and critical care. It could possibly help track how many hospital beds are available or to process patients in accident & emergency departments.
However, it’s important to note that the effectiveness and accuracy of AI in this part of healthcare has not been fully proven and research is still being done into this.
It could be employed in the process of dispatching ambulances by calculating the fastest route and using predictive analytics to assess the demand for emergency services. This could improve overall response times as well as optimise resource allocation.
Artificial intelligence may also use hospital data to automate daily administration. This can reduce waste and speed up processes by assisting with scheduling, medication orders and the cataloguing of patient documentation.
Check out our blog for some healthcare trends and predictions that are set to become prominent in healthcare in 2025.
5. Medical research
By compiling data from sources such EHRs, genetic information and geographic location, artificial intelligence could assist in finding eligible individuals for clinical trials.
The American National Institutes of Health recently created an AI algorithm called TrialGPT that may be able to find appropriate individuals for medical trials and give details on their suitability. 3
AI technology can also save time during medical research and development by analysing huge amounts of data, including research papers, lab results and clinical trials, to simplify information and discover new insights.
This innovative solution can also support in making drug discovery more efficient. It could be used to predict the safety of a new drug, or to identify new drugs by screening different chemical compounds.
