Why Life Sciences Organizations Need Automated Content Management?
Life sciences organizations have been aggressively pursuing cost reduction measures while balancing the need to be compliant with the evolving regulatory landscape over the last decade. Increasing outsourcing cost, lengthier product approval times, increased product maintenance cost and greater regulatory demands have required organizations to look at automation, artificial intelligence and digitization technologies to reduce cost and improve regulatory compliance. When we look at these emerging technologies purely through the lens of the problems life sciences organizations face and examine how we can apply them to address those challenges – we find these technologies cannot be directly applied to this industry. Life Sciences business processes are still very dependent on making informed decisions that rely on human skills, knowledge and experience.
How Automated Content Management can help your Organization?
A successful automation platform drives efficiency while simultaneously improving quality both through available effort to focus and underlying consistency of process.
Reduction of Manual Effort – Efficiency
Generate deliverables quickly (within hours, days or weeks) as oppose to months eliminating duplication and manual steps
Reduce Cycle Time – Efficiency
Elimination of duplication and manual steps reduces review cycles and effort to make changes or respond to queries.
Reduction of Manual Errors – Quality
Error rates drop significantly with the elimination of manual steps. Regulatory agency feedback and comments are also reduced.
Improved Metrics – Quality
Minimize compliance and audit readiness risk, while giving visibility into compliance rates. Audit ready compliance and audit logs
MARS – Customer Engagement Model
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Cost Reduction and Value for Investment
Automated Content Management can provide significant tangible benefits and opportunities in areas of cost, compliance and time. Business users are able to deliver at a speed, scope and quality that can only be achieved with the aid of intelligent machine computing.
Change Management and Training
Phased gradual application of automation should leverage existing investments and support organizational change management needs. Transition from current state must use a phased approach with tangible end user realized benefit and value
Engagement of business end users
Application of automation should be practical with tangible end user realized benefit and value. Engagement of end users to realize the benefits and becoming an ambassador is key to developing a long term strategy. Initial success stories will help develop a long term strategy and roadmap.
Life Sciences Validation requirements
Ensure AI solutions can conform to complex life sciences industry validation and compliance needs. Solutions need to support a scalable, extensible and maintainable architecture which can support the ever-changing regulatory landscape.