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Challenges of digital transformation
Digital transformation is not as simple as adopting digital tools and assets - these tools must be deeply embedded within processes and IT environments for organisations to perform to their maximum potential. Successful implementation of digital transformation requires a signifi cant investment of time and resources, and unfamiliarity with new technologies and resistance to change are among some of the challenges that must be overcome.
R&D in the pharmaceutical industry is characterised by strict regulations and complex processes that face unique digital transformation challenges.
Scalability and adaptability of effi cient processes
Industry standards and requirements heavily infl uence the long- established processes in the industry. However, this can often limit the scalability and adaptability of effi cient processes. The capabilities of these conventional systems often struggle to meet the growing demands of the industry at a quick enough pace.
Siloed and unstructured data
The masses of data generated by pharmaceutical companies are typically unstructured and unharmonised. In modern-day multi-instrument, multi-vendor labs, data processing with individual instrument software often results in data silos. Unstructured, siloed data poses a huge challenge in fi nding the right data when it’s needed, making collaborative data-driven decision-making diffi cult.
Ineffi cient data management
Given the vast amounts of data that pharmaceutical organisations generate, it is challenging for traditional methods to manage, analyse, and extract relevant insights from this data. As sources of data increase, so does the incompatibility of fi les, and the time spent tracking down results. These traditional data management methods are time-consuming with an increased susceptibility to error and loss of data. Without access to historical data across the organisation, experiments and mistakes will likely be repeated.
Incorporating a cultural shift and appropriate digital tools can help to overcome these challenges, and successfully implement digital transformation in the pharmaceutical industry.
The role of chemistry software in digital transformation
Digitalisation involves optimising data analytics with software tools to extract maximal value from the data - ensuring that it is fi ndable, accessible, interoperable, and reusable. Vendor-neutral and platform-agnostic tools like ACD/Labs’ chromatographic method development software, Method Selection Suite, provide a standardised solution to capture, unify, store, and access analytical data.
The scope and potential of such software tools are immense, playing a role in the prediction of structures, modeling, and simulation to develop robust chromatographic methods, and the interpretation of experimental results. Leveraging this digital tool empowers pharmaceutical organisations to harmonise and manage data more effectively, enables easier accessibility to data, and allows informed data-driven decisions to be made faster.
Harmonise data for easier retrieval
Using Method Selection Suite, multiple fi le formats and data types can be harmonised into a single standardised data format, preparing it for further use by humans or machines. All analytical techniques used to characterise compounds and formulations can be analysed and processed within a single interface - allowing data continuity and eliminating data silos. Integration of this tool into method development processes allows consolidation and standardisation of data - ensuring that the right data is found at the right time.
Make informed data-driven decisions faster with better data management
Data management includes the secure and effi cient collection, storage, and use of data. To reduce the time spent assembling, processing, and fi nding data, fi les and formats must be standardised. Method Selection Suite is an example of a software solution that can homogenise data, and store it in a centralised, easily accessible database.
These chemically intelligent databases contain chemical context (i.e., structures, metadata, methods, etc.), connect data to the original experiments for simplifi ed review and verifi cation, and enable reproducible research. Live analytical and chemical information in these centralised databases can be easily searched by structure, spectra, or text-based queries, providing information about the origin and details supporting the confi dence or validity of experiments. These archives of carefully curated knowledge give scientists access to all pertinent information at their fi ngertips - empowering them to gain new insights into their analytical data and make confi dent, informed decisions.
Incorporation and implementation of this software tool ensures that data integrity is maintained - increasing the effi ciency of data collection, minimising duplication of experiments, and reducing the risk of repeating past mistakes.
Easier collaboration
Digital transformation is required to connect different operational areas and improve communication and collaboration across teams, facilities, and partners. Tools like Method Selection Suite digitalise data and ensure it is consistent, reproducible, and readily accessible - making collaboration easier and faster. Searchable data assets allow scientists to access real-time data to avoid duplication of experiments and minimise transcription errors. Creating customised reports allows researchers to easily share scientifi c insights to enable informed decision-making.
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