ELEMENT AI FOR THE PHARMACEUTICAL INDUSTRY
Paving the way towards zero-defect labs
Unlocking opportunities across the pharmaceutical value chain
From manufacturing to distribution, the pharma value chain is susceptible to a high degree of variability and disruption that can impact the product innovation cycle. Today’s pharmacos are challenged with retaining institutional knowledge, extracting valuable insights from various data sources and finding methods for documenting their personnel’s tacit expertise.
Novel applications that harness the power of data and digitization contribute to improving process, which is key to increasing productivity and quality.
Use cases
Investigating production deviations is a complex and lengthy process which can adversely impact supply chain and compliance activities by creating bottlenecks in the manufacturing process. This is costly for manufacturing operations.
Factors to consider:
- Multiple data sources such as deviation reports, batch records and SCADA data are required to identify root causes and apply corrective actions.
- Tacit knowledge surrounding best practices, techniques and methodologies are learned in the lab. Gaining a holistic understanding of deviation management processes is necessary to achieve high performance, but comes with time and experience.
- Institutional knowledge is often undocumented creating a scenario where critical expertise is lost with personnel turnover. Less experienced Quality Specialists are challenged with drawing connections between current and long-standing issues.
How we can help
With Knowledge Scout, siloed data sources are broken down and centralized, giving Quality Specialists access to structured information from ERPs, MES, QMS, as well as unstructured information, such as data deviation reports, SOPs and standards, to effectively resolve an investigation.
By training on user feedback, Knowledge Scout is able to identify recurring events across deviations, helping pharmacos to better assess the effectiveness of their CAPA plans and resulting in fewer defects and improved CAPA performance.
Learn more
Pharmaceutical manufacturers are sitting on vast amounts of disparate data. Be it historical project reviews, patents or academic articles -- pharmacos rely on deep internal expertise to inform and guide their new product development. Pharmaceutical scientists often find themselves in positions where their work can benefit from the knowledge or past experience of a colleague who may or may not be on-site. Identifying the right internal expert across geographies is key.
- Knowledge Scout aggregates structured and unstructured data in a way that forges a connection between the users and the vast body of knowledge contained within an organization, guiding the intricacies of new product innovation.
- With a simple query, research scientists can identify the right expert to consult within the company, limiting overlap of work and effort.
Helping you
map it all out
Most Pharmaceutical manufacturers know it's not a question of whether or not to deploy AI solutions, but a matter of when and where to start.
Our cross-functional team of experts can guide you through the process of driving real business value with AI, from evaluating AI business cases and identifying unique areas of innovation that require further research, through to designing MVPs and deploying sustainable, performant AI business applications at scale.
