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In our scientifically-industrialized world, science labs are more interconnected, data-driven and advanced than ever before, which is great. However, with all the developments in the pharmaceutical, biotech and diagnostics landscapes, one problem continues to cross the aisle in advancing productivity and collaboration in the entire industry—scientific vocabulary.
It’s not just about technical vocabulary. Other types of dense and compact communication, such as analytics and reports, can frustrate collaboration. This is evident for newly introduced staff, the interdisciplinary teams, stakeholders and clients. As the laboratories’ collaborative nature spans across disconnected divisions, industries and continents, the requirement for straightforward and uncluttered scientific communication is greater than ever.
When laboratories document the results of their analysis, the precision of their operations is directly linked to their ability to make informed and timely decisions. This is the common objective when drafting QC reports and communicating the findings of research.
Addressing these gaps in communication is critical to bring the various stakeholders such as scientists, technicians, regulatory personnel, health care contacts, and finally, business executives.
Modern labs are more integrated than ever before with the world of analytical chemistry, microbiology, molecular biology, automation, artificial intelligence, and data analytics. With the continued evolution of technologies, so too comes with it the language of the labs.
These and many others are common nomenclature in almost any lab and in many instances, are not understood outside the laboratory walls.
Using too much jargon when explaining concepts to new industry professionals can be counterproductive, as it can inhibit their learning and confidence.
The desire to simplify communication should not come at the cost of losing depth when it comes to the nuances of a given field. In this context, technical description can still be retained.
There is a positive feedback loop between simplifying communication and increasing the efficiency of operations. This means that simplifying communication can increase the level of cooperation of both technical and non-technical staff.
Communication has to be increasingly simplified as laboratories involve digital technology, cloud computing, and AI in their research. Laboratory Information Management Systems (LIMS) and automated reporting and digital dashboards consume and process layers of data that have to be interpreted.
For the pharmaceutical and health-related domains, simplified communication enables the explainability of other complex data structures when communicating with the various stakeholders in healthcare systems, including regulators, healthcare providers, and patients.
In the context of a laboratory, the foundation of good communication is good teamwork. This is relevant to scientists, analysts, engineers, and professionals working on quality across diverse functions.
Simplified communication also fosters international cooperation, as laboratories increasingly traverse national boundaries, operating with dispersed and remote teams.
Educational and laboratory institutions have noticed the value of communication skills in addition to technical skills. Courses on writing, presentations, and standardization of scientific terminology, help professionals improve their communication skills.
Junior scientists’ comprehension of terminology and old scientists’ silencing of the jargon through mentoring and in-house workshops is a good practice.
Clear communication of complex terms is one of the most important skills a modern scientist can possess to further the field. Outdated labs and analytical science still have an approach to present their findings in a clear, efficient, and accessible format. Organizations that succeed in this communication will see new ideas and innovations, enhanced and efficient operations, and a clear understanding of the science.
Disentangling the science of jargon is not dumbing down; rather it is to make science more efficient and actionable.