Revolutionize Life Science Innovations and Patient Satisfaction with Digital Labor
The demand for Intelligent RPA is multiplying. Many organizations in the life sciences field are starting to leverage Bots to accelerate the delivery of new drugs, increase innovation, do better pharmacovigilance, streamline manufacturing operations, and enhance supply chain management, to significantly improve business outcomes. RPA can help maximize efficiency, modernize workflow, increase productivity, and build a happier workforce.
Let RPA Bots handle tasks from overloaded researchers, allowing them to spend more time developing new health solutions and stimulating growth in the company.
Improve Patient Service
Attend to patients needs immediately with Bot-assisted service. RPA Bots answer customer questions 24x7 and keep up to date with patients before, during, and after clinical trials.
Improve Processing Time
With intelligent automation, you can process repeatable, manual, and time-intensive tasks five times faster. By delivering one hundred percent accuracy, the Bots enable improved quality.
Robotic Process Automation in Life Sciences
A Key Enabler of Digital Transformation
Fight the rising costs in the research and development of new drugs through RPA technology. Use RPA Bots to bring drugs to market on an accelerated timeline, improve regulatory compliance, and optimize pharmacovigilance efforts. Watch the on-demand webinar to learn more about the use of RPA technology in the life sciences.
This webinar is jointly organized by Nividous and Kinapse, now a part of Syneos Health, the world's only fully integrated biopharma solutions organization.
Digital Labor, from RPA to Cognitive Automation is an Organic Fit in Life Sciences
Combine RPA with cognitive automation and analytics for a strong foundation to transform the way you serve customers. Re-assign your employees to higher-value work, while RPA and cognitive automation speed up the back-office operations.
Use rule-based automation for data capture and accurate data entry; machine learning for adverse event intake and customer service; and cognitive learning for the analysis of medical reports, quantitative studies, and quality measurement.
Optimize Health Data
It is critical to have reliable data related to population health statistics, the total cost of care for certain disease states, and medication compliance patterns. Use cognitive automation to access and analyze data in real-time as it moves between systems.
Rapid analysis of regulatory data is a need of an hour for a comprehensive, real-time regulatory due diligence. RPA regulates processes with accuracy to standardize operations and minimize risk.
September 10, 2019
Today, Robotic Process Automation (RPA) technology is reliably used by businesses across industries to automate simple to sophisticated business processes. Companies are confident in its fast […]
July 19, 2019
The growing number of millennials are forming a whole new customer base that is more demanding and connected with technology as never before. This customer base […]
May 11, 2019
In a recent research project on Investment in Process Automation and Anticipated RPA (Robotic Process Automation) projects, APQC (American Productivity and Quality Center), a business institute […]
We are Committed to Streamlining Your Work While You Help People Live Healthier Lives