AI’s impact on healthcare hinges on improving confidence in industry practices for patients, says GlobalData
The potential of AI could revolutionise healthcare, but not without experts addressing privacy and security concerns as well as the existing concern in industry medical knowledge and practices.
Fletcher: “Since the AI boom, its use has grown exponentially and spread to all areas of work, effectively planting its presence into our daily lives. Healthcare companies now have much bigger data sets and sources that are not only more accessible but also relevant to the practice. Combining this data with the applications of AI opens up a world of innovation which is rapidly improving healthcare and research. We are seeing organisations investing in AI within several use cases, such as diagnostics, drug development, and even within genomics and precision medicine. The possibility AI offers to personalise treatment is groundbreaking.”
“However, whilst trust in data use drives industry-wide barriers to AI adoption in healthcare, if we want to build patients’ trust in AI we must acknowledge legitimate reasons for mistrust in the technology. Data security remains a pressing concern, with many people hesitant to hand over their personal data and for good reason. Healthcare is a highly targeted industry too, research from the Health Information Sharing and Analysis Center (Health-ISAC) tracked 458 ransomware attacks in healthcare in 2024.
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