Automation in Healthcare & Life Sciences: How It Helps and What's Next

Pharmaceutical and biomedical organizations are facing rising complexities. Amid billions of dollars in proposed funding cuts for scientific research, the high costs associated with drug development and clinical trials, and the challenges of navigating regulatory hurdles, life sciences companies are increasingly relying on automation and artificial intelligence–powered technologies to modernize workflows and enhance operational efficiencies.According to NVIDIA’s inaugural State of AI in Healthcare and Life Sciences survey, two-thirds of participants say their organizations are actively using AI solutions, 73% say AI has helped reduce operational costs, and 81% say it has led to an increase in revenue.

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The recruitment phase for clinical trials takes an average of 18 months, and nearly 20% of cancer trials fail because of low accrual rates. Automation and AI can improve this process — and help bring lifesaving treatments to patients faster — by identifying and recruiting eligible participants.Robotic process automation tools can be especially beneficial in this area by assessing patient records and matching them to appropriate trials. Advanced data analytics are critical for this type of analysis. AI-powered algorithms can analyze and compare massive amounts of information across multiple databases to identify which combinations will be most effective in creating a new drug.

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