How Can Drug Safety Platforms Benefit from Practical Automated Systems?
- The pharmaceutical sector is currently well on its way to reaching complete automation.
- Companies within the life science industry are using machine learning, natural language processing, artificial intelligence, and rules to automate their research and development operations.
- To meet pharmacovigilance requirements, enterprises need to identify the best automation approach and degree of automation for effective R&D initiatives.
- When implementing an automation timeline, organizations should consider the time and resources needed to develop and maintain the system and the anticipated advantages.
- Once the proper tools and protocols are in place, automation becomes a manageable tool that can be utilized to empower the upcoming generation of pharmacovigilance professionals, reducing the time and effort required for implementation.
Recognizing the Automation Horizon
- Understanding the Automation Horizon As better, more flexible technology has developed in recent decades, safety automation capabilities have increased.
- It’s helpful to view automation as a continuum when deciding which features will best support your pharmacovigilance initiatives.
- On one end of the spectrum are the more traditional, structured processes that rely on rule-based automation, such as developing bulk case intake routines. It is common for them to have an integrated safety mechanism.
- With the help of rule-based automation, which automates typical procedures, data quality can be achieved with lower processing costs.
- Moreover, it frees up employee time to focus on more valuable responsibilities, such as upholding worldwide compliance.
- Knowledge-based automation includes artificial intelligence, machine learning, natural language production, and other sophisticated cognitive systems. These automation technologies make it simple to examine large data sets and identify pertinent safety patterns.
- Knowledge-based automation uses sophisticated algorithms that can perform tasks related to decision-making and cognitive reasoning.
- This intelligent automation is the hardest to incorporate into safety workflows, but it can offer insights into patient safety or compliance data sets that would otherwise require a significant time and labor investment.
- Deciding which automation level best meets your safety requirements might be challenging. The concept of accessible automation is essential at this point.
Accessible Automation: What Is It?
Concentrating on what makes automation accessible is crucial. Safety plans are dynamic and must adapt quickly to new compliance requirements or variations in data volumes. Safety automation must reflect this fluidity, necessitating a degree of adaptability, usability, and approachability to assist teams in any circumstance.
Which indicators of accessible automation are present?
Interoperability: You can easily integrate your safety platform with other life science systems to share data and build a single, integrated safety database.
Ready for Production: Automation that is ready out of the box and validates more quickly is achieved using mature systems pre-trained for pharmacovigilance.
Implementation Simplicity: When automation is simple and easy to use, fewer staff resources are required, and the total cost of ownership is reduced.
Flexibility: Standardized and ad hoc reporting options combined with adaptable automated procedures enable teams to be flexible and react to changes in safety case management.
Built-in Safety Compliance: Automation platforms that are pre-configured with compliance make it easy to comply with national, international, and local requirements.
When automation is feasible, it can yield efficiencies that are unmatched by manual labor-developed solutions.
Facilitating the Automation of Pharmacovigilance (PV)
In what situations might the use of well-developed and user-friendly automated workflows be most beneficial for pharmacovigilance and patient safety teams?
Automating the Intake Process: Eliminate the laborious manual process of uploading and verifying large quantities of cases. Utilize robotic, cognitive, and optical character recognition (OCR) technology to automate case intake from both organized and unorganized sources in a variety of languages. Get deep learning from incoming unstructured data sources, generate receipts of adverse event data, and shorten case processing times.
Obtain PV automation that is accessible.
As strong tools become more intelligent and capable of handling the increasing complexity of case management in the life sciences, the advantages of approachable automation continue to be felt.
To reap the benefits of automation as promised, companies should carefully plan, test, and validate their safety automation strategy with a pharmacovigilance automation solution.
Selecting the appropriate platform can be difficult, even though it is obvious that automation is the way forward for safety teams.
A next-generation safety platform with a track record of delivering pre-validated, end-to-end automation workflows should be the primary option.
It’s time for the industry to move beyond automation as a catchphrase.
