Intelligent Automation in Life Sciences Commercial Operations: Enhancing the Customer Experience without Increasing Costs
As the key customers of life sciences companies, patients, providers and pharmacies are all demanding an enhanced customer experience and broader commercial services as the healthcare model continues to evolve. To be successful, life sciences companies must meet these high customer expectations while also maintaining tight cost control. Deploying intelligent automation (IA) within commercial operations can liberate funds to shape a better customer experience and bring treatments to market.
In this white paper, we explore some of the IA use cases with the highest potential across three sub-areas of commercial operations: marketing, sales and service.
- Marketing: Deploy IA to automate core activities associated with DAM to reduce the need for manual data entry and increase operation margins
- Sales: Remove the need for human intervention in resource allocation by deploying IA and BI tools backed by supervised ML
- Service: Leverage IA-driven capabilities like conversational agents, chatbots and RPA to speed and enhance the patient experience
Download the full white paper to read the details of how to make the above now.
-
In the NewsInterview with Neil Holton, Director, Insurance Strategy & Tech, EPAM
EPAM’s Neil Holton provides insights into the latest technology trends in the insurance market, such as AI, chatbots, data analytics, RPA, fraud analytics and more.
-
In the NewsInterview with Pavel Gimelberg, Head of Intelligent Automation at EPAM APAC
-
Analyst ReportGartner’s Market Guide on Intelligent Automation
-
Event
Forward III
-
BlogHow IA is Reshaping Revenue Cycle Management
By leveraging intelligent automation in revenue cycle management, healthcare providers can reduce errors, improve efficiency, increase cash collection and revitalize the patient experience.
Hello. How Can We Help You?
-
BECOME A CUSTOMER
-
JOIN OUR TEAM
-
SEND A MEDIA INQUIRY
-
BECOME AN INVESTOR
-
ASK US ANYTHING
