Do you spend hours each month searching for, but not always finding, the information you need to do your job? These are often not just ‘like-to-have’ files, but rather those that you actually need to complete your work. Other times, they are the ones that would help you do your job faster and better, if only you could find them.
A Better Way to Search
Many life sciences organizations have multiple content repositories including:
- Document management systems
- File shares
- Content management systems
- Public-facing websites
- Clinical and safety systems.
What if there were a way to search all of those repositories at once, using a single search box, and quickly pinpoint the exact information that you need? What if that solution was also able to anticipate users’ needs and predict the content the user will need next?
In this blog series, we will highlight five ways pharmaceutical, biotechnology, medical device, contract research organizations (CROs), and academic research organizations (AROs) can leverage an artificial intelligence (AI) insight engine to support use cases ranging from drug discovery to regulatory compliance and commercial sales operations.
1. Facilitate Easier Information Retrieval for Compliance Audits
The US government disclosed the amount of time it takes to comply with the FDA’s requirements for the reporting and recordkeeping of human drugs and biologics, related to Investigational New Drug (IND) applications.
It’s probably no surprise that it takes an exhausting 22,801,297 total hours. Yes, you read that correctly.
How Artificial Intelligence Can Enhance the Clinical Data Review and Cleaning Process
This guide analyzes how artificial intelligence – including machine learning – can be used by pharmaceutical and medical device companies to improve the clinical data review and cleansing process.
Of that total, 413,196 hours are dedicated solely to recordkeeping. Now, multiply that by the number of drugs you’ve launched or are trying to launch, and you have a Herculean task of managing those records. Now, imagine having an FDA audit and being tasked to find a specific document!
Enterprise search makes the record-retrieval process simple. With the ability to connect to a range of data sources through a combination of pre-built and custom connectors, a platform can index content from:
- Your ecosystem of record, such as a document management system,
- Or even a clinical or drug safety system.
It can search text in almost any file format, stored in the cloud or an on-premises server, and even extract text from image files and PDFs through optical character recognition (OCR).
While enterprise search can be extremely helpful in an FDA audit, there are myriad other compliance scenarios supported by such a tool.
A solution can leverage the power of machine learning to automatically deliver the most relevant results and proactively recommend content.
The more users and content you have, the more useful it becomes.
Since life sciences organizations have numerous content repositories, it is beneficial to have a way to search all of these applications at once. With a single search box, you can quickly pinpoint the exact document or information that you need. In the next addition of this series, we will discuss the second way to address information overload in life sciences with AI-powered search.
Gain comprehensive step-by-step guidance on how life sciences companies can leverage an insight engine like Coveo to support use cases ranging from drug discovery to regulatory compliance and commercial operations with our interactive guide.
GET THE GUIDE: Address Information Overload in Life Sciences with AI-Powered Search