Healthcare, as in any other sector, has been pressing forth towards adopting and using technology as a tool for simplifying management of patient data, healthcare and healthcare related processes. Millions of dollars in clinical trials are spent to come up with newer drugs. Clinical trials are long, expensive and their timely success is imperative for the long-term growth of a life sciences organization. In this blog, Saama’s Amit Patil, talks about how the generated data can be analysed effectively to mine meaningful insights.
With increasing competition, the pharma industry is under immense pressure to cut costs during these Clinical trials where millions of dollars are spend on-site identification, site activation, patient recruitment, amongst others. In addition, stringent FDI norms and the overall inflation across the globe is ballooning the cost of conducting studies that result in lower profit margins. An estimated investment on a drug from discovery to FDA approvals is $2.6 billion says Tufts and 80% of this expense is incurred during the clinical trials and that is the criticality of this stage as an enormous corpus is at stake.
Clinical Data Analysis – Taking a centre-stage in Clinical Trials Print
Modified on: Tue, 9 Feb, 2021 at 5:05 PM
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