Medical dictionaries such as MedDRA, WHODRUG or legacy and how they are used affects several important activities at the very core of a bio-sciences organization's fundamental goal: to bring innovative therapeutics to the market cost effectively and keeping them there.
The chief strengths (large size, high granularity and constant maintenance) of today's standards can help enhance the quality and reliability of critical functions including accurate capture and exchange of safety information, aggregation of reported terms, identification of common data sets, consistent case retrieval and generation/evaluation of safety information. But these strengths are double edged as the same factors can also encumber effective dictionary management and coding practices that are foundational for all the above activities. If the additional costs of size and complexity are not adequately mitigated through planning and practice, backed by knowledge and skill, the full benefits of switching to standards such as MedDRA may not be realized.
In fact, implementing a truly effective dictionary management and coding practice has to be based on an organization's historic practices, state of implementation and utilization of various activities, knowledge of the emerging context and changes in it and the ability to bridge cross-functional needs with cross-functional expertise - ensuring, always, that scarce resources are optimally utilized.
PACE, the dictionary neutral, web based, SaaS oriented, advanced dictionary and coding process management system offers effective and high quality medically intelligent auto-encoding solution that enhances the quality and reliability of critical functions and ensures proactive, effective and efficient clinical and safety data analytics, and hence the safety of the patients.
