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Enhancing Security and Ensuring Data Integrity in eSignature Solutions

eSignature Solutions in Life Sciences

Learn how artificial intelligence (AI) helps to improve efficiency and simplify compliance in the electronic signature (eSignature) process.

Discover the various applications of AI for eSignatures—download the white paper > > >

Explore the security and data integrity challenges inherent in eSignatures, consider best practices to mitigate risks, and find solutions to simplify regulatory compliance. This white paper will answer some questions and provide direction for your IT decision-makers.

Features and Functionality for Security and Data Integrity

By streamlining the signing process, eSignature solutions offer efficiency and convenience. Solutions must also ensure the security and validity of eSignatures and the integrity of the associated documentation and metadata.

Other must-haves include compliance with industry regulations like U.S. Food and Drug Administration (FDA) 21 CFR Part 11 and European Union (EU) electronic identification and trust services (eIDAS).

In this white paper, you’ll also learn how encrypted communication channels and secure storage for signed documents further ensure the confidentiality of sensitive information. While AI drives efficiency and compliance, it’s imperative that it doesn’t enable circumvention of controls like encryption.

See feature ratings for popular eSignature solutions—get the white paper > > >

Personalization That Elevates the User Experience

Discover how an eSignature user interface employs AI to deliver a user experience based on preferences, behaviors, and historical interactions. By adapting to individual user patterns, it modifies screen layout and elements to accommodate current requirements or context.

Learn how personalization extends to accessibility and enables people with diverse needs to customize how they interact with digital documents. For example, someone who finds it difficult to sign using a mouse or touchpad might use voice commands or eye-tracking technology.

Additionally, natural language processing (NLP) enables real-time language translation to better personalize the user experience and reduce the chance of misinterpretation or errors in the signing process.

Download the white paper to learn more about personalization > > >

Best Practices for eSignatures in Life Sciences

Third-party vendors should incorporate best practices for the eSignature process, including: 

  • Regulatory compliance to establish the validity of eSignatures and the trustworthiness of digital transactions in regulated business environments. 
  • Assessments and continuous monitoring to ensure the ongoing protection of eSignatures and sensitive information. 
  • Preemptive analysis to identify duplicative information and to avert misunderstandings and legal disputes.

Let AI empower your decision-makers—read the white paper to get started > > >

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Enhancing Security & Ensuring Data Integrity in eSignature Solutions

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