AI WILL INCREASINGLY TRANSFORM THE DELIVERY OF HEALTHCARE , EXTENDING TO THE INCREASED PERSONALISATION OF TREATMENT PLANS AND IN MORE ACCURATELY PREDICTING OUTCOMES .
S P E C I A L I S T I N S I G H T
AI WILL INCREASINGLY TRANSFORM THE DELIVERY OF HEALTHCARE , EXTENDING TO THE INCREASED PERSONALISATION OF TREATMENT PLANS AND IN MORE ACCURATELY PREDICTING OUTCOMES .
medicines and therapies , more safely and efficiently , into the hands of patients .
We ’ re highly connected to the industry we serve , and through our new GenAI Council we are deepening that collaboration with leaders across the health / life sciences and tech ecosystem . Because these Council meetings happen behind closed doors , members can speak freely about their latest projects and ideas , which really advances the conversation .
The healthcare landscape is constantly evolving , with regulatory requirements and patient expectations continually shifting . How does ArisGlobal ensure its solutions remain compliant and adaptable to these changes , while also meeting the evolving needs of its clients ?
We came from the safety side , so compliance is in our DNA and underpins all our solutions . As well as closely tracking the markets globally for evolving requirements and advancing the use of technology to help pharma companies achieve compliance efficiently , we ’ re also heavily committed to the compliance and transparency of the technology itself – including the parameters of AI , and the integrity of the data and resulting insights .
Looking ahead , what do you see as the most promising opportunities and challenges for the HealthTech industry ?
AI will increasingly transform the delivery of healthcare , extending to the increased personalisation of treatment plans and in more accurately predicting outcomes – all leading to more effective , cost-effective healthcare delivery and an improved patient experience .
Emerging challenges include implications arising from the European AI Act ( the first comprehensive regulation on AI by a major regulator ), industry confidence in AI and its reliability ( e . g . linked to ‘ hallucinations ’/ the potential for misleading conclusions ) and matters of user adoption . Overcoming these challenges will be key to the industry transformation that ’ s now possible . �
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