Posts Tagged ‘natural language processing’

I Love Lucy Chocolate Factory Episode

Pharmacovigilance and Medical Information Call Centers by “I Love Lucy”

  The medical information (MI) call center is part of a complex pharmacovigilance system. It may be the only opportunity to gather adverse and product quality data. It’s imperative that it operate efficiently. With a growing number of calls, it’s easy for a center to overrun. That can lead to team burn out, long wait […]

Smiling Young Woman With Headset Working In Call Center.

10 Questions & Answers About Using Virtual Agents for Medical Information Sharing

In our recent webinar, “Improve Medical Product Information Sharing With Virtual Agents,” Prabha Ranganathan, Kari Blaho-Owens, and Nico Frantzen discussed the ways that implementing virtual agents in life sciences companies’ call center operations can help to promote pharmacovigilance and more effectively service customers. Below are some of the questions we answered during the webinar and some that […]

Difference Between Team Site and Communication Site in SharePoint

5 Takeaways From Our “Improve Medical Product Information Sharing With Virtual Agents” Webinar

Our life sciences and technology experts recently delivered the webinar, “Improve Medical Product Information Sharing With Virtual Agents,” where they discussed how automation and artificial intelligence can be used to optimize call center operations and improve end-user experiences. Here are five key takeaways: Just because a system is powered by AI doesn’t mean you have […]

Cows

Veterinary Pharmaceutical Traditional Call Center Models: MOOve Over

According to market research, the global animal health market was valued at approximately $139 billion in 2020 and is predicted to grow to more than $190 billion by 2027. Even without its projected growth, animal health organizations, much like their human pharmaceutical counterparts, often do not have the adequate technology infrastructure to support or streamline […]

IBM Think 2021 Takeaways

IBM Think 2021 Key Takeaways

IBM Think 2021 wrapped up earlier this week. While it was virtual again this year, there was certainly no shortage of valuable information and key takeaways. One of the biggest themes was automation. IBM is looking to accelerate automation in ways that are directly visible to business users and have introduced two new products – […]

Forrester Now Tech: AI Consultancies Report

Perficient Listed in Forrester Now Tech: AI Consultancies, Q1 2021

As AI continues to expand its reach into the enterprise, so does the desire to maximize its full potential. But the journey to realizing all of your AI aspirations can be a bumpy road with twists and turns if you don’t have an experienced consulting partner to help navigate. Technology maturity, opportunity cost, fast-changing regulations, […]

Pharmacovigilance Innovation

[Watch] Using AI & Automation to Enhance Adverse Event Case Processing

Recently, Christine Livingston, Chief Strategist, Artificial Intelligence, Kari Blaho-Owens, Ph.D. Director, Safety and Pharmacovigilance, and Prabha Ranganathan, Director, Clinical Data Warehousing and Analytics, hosted a webinar with Bio-IT World that discussed how to leverage AI and automation to improve case processing. The implementation of such cutting-edge technology results in fewer manual processes, streamlines workflows, and increases consistency. It has the potential to transform your […]

IBM Podcast features Chief AI Strategist

AI Adoption Practices for the Enterprise [IBM Podcast]

Perficient’s Managing Director and Chief AI Strategist Christine Livingston recently joined IBM’s Big Data and Analytics team on its Making Data Simple podcast series. In this episode, AI adoption practices for the enterprise, Christine talks about her approach to AI within the consulting and enterprise industries, along with how she and her team have been […]

Artificial Intelligence: Success Criteria in Life Sciences

Previously, I dove into how artificial intelligence helps review, and provide statistical analysis to data. The final blog of this series outlines how to be successful with an artificial intelligence implementation. Setting initial expectations and not promising a magic bullet is a key factor in determining the success of an initiative that focuses on deploying […]

Clinical Data Review Platforms in Life Sciences (CDRP)

My last blog discussed how AI assists to create human-computer systems. This next blog in the series analyzes clinical data review platforms. While machine learning (ML) and natural language processing (NLP) functionalities are not currently available in today’s clinical data review platforms (CDRP’s), we know they offer tremendous benefits to the clinical data review and […]

How AI Can Enhance the Clinical Data Review and Cleaning Process

Ensuring that clinical trial data is accurate and that clinical trials are safe and effective, is a time-consuming and a manually intensive process. Many life sciences companies have implemented home-grown or off-the-shelf clinical data review platforms and defined the reviewing and cleaning processes to be used with them. Many of these systems have proven to […]

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Essentials for Your Digital Strategy: Infuse AI in Customer Experience

Delivering seamless, consistent, and engaging experiences starts with a customer-centered digital strategy. This ongoing series explores the characteristics that make up a great digital strategy and how to deliver powerful brand moments that solidify customer loyalty and drive differentiation for your organization. Ever-increasing and evolving customer expectations pose a challenge to businesses, regardless of their […]

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