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Digitization is evolving rapidly in every industry, including the life sciences, an increase in collaboration among the industry is leading in collective efforts for transformation.
FREMONT, CA:The Life Sciences industry has always been very fast-paced and competitive. Changes are influenced by the regulatory landscape, a requirement for lifesaving products as well as therapies and scientific advancements. Modern technology has allowed manufacturers to make products faster, with great precision and quality. Maturing life science companies should learn how to use the power of the new market disruptors to “keep pace” or perish in an innovative landscape.
Here are a few life science trends for today and the future.
Advancements in Data Management
Technology streamlines the way data is managed for efficiency as well as creating a single point of truth. In the current quality environment, a system should quickly assemble, interpret, and present data at the click of a button.
Manual processes might lead to human error, but automated document management allows access to information faster without sacrificing data integrity. Document control automates the entire process, maintains data in a centralized location, and allows only the ones with access to the ability to view and edit documents.
Medical Device Cybersecurity
A huge transformation in life sciences technology trends is taking place in securing networked medical devices.
These devices have revolutionized the industry, allowing the providers to enhance healthcare and offer a higher level of patient services than ever before. However, the increasing connection of medical devices has also made them vulnerable to outside threats like hackers and other security breaches. To proactively reduce the chance of a security breach, cybersecurity risks must be considered in the design of medical devices. Furthermore, a plan must be in place to manage risks throughout the entire product lifecycle, including reporting cybersecurity concerns.
Technological advancements such as Artificial Intelligence (AI) has the power to change the way providers diagnose patients, plan treatments, monitor patients and more. It allows the life sciences companies to solve challenges related to drug safety and product development.
AI has fast-paced drug development, cutting the time it takes to develop, manufacture, and launch new products. It can also help to assess trial and error pathways by identifying the trends that lead to success. AI technologies within the life sciences manufacturing include robotics, biometrics, personalized digital experience and many more.
To better align the organizations and create a culture of collaboration with AI, a dedicated change control process will provide visibility, control, and implementation into the manufacturing process. Also, integrating AI with the workforce will continue to help drive innovation within the Life Sciences industry.