In this Shortcast with Pramod Sachdeva (Founder and Managing Director at Princeton Blue), we address the challenge of getting data from legacy systems into the context of the process thereby enhancing your current investments in Clinical and Regulatory systems. Listen to the audio below.
Workflow and integration technologies have been around for decades. So, you might be wondering what’s different about these technologies today? The same way ChatGPT has made content research and creation easier by simply asking questions, Low-code technology has made workflow and data integration easier to develop and deploy enterprise applications rapidly via drag-and-drop and wizard-based configurations.
This means that complex initiatives where data is scattered across many legacy systems and people that need to see it are also located globally (or working from home in this post-COVID era) can be developed and deployed in a matter of weeks. Such complex projects would take months (and sometimes more than a year) just a few years ago.
We use this Low-code workflow automation and data integration technology to help digitize and automate critical global drug development processes in the lab, clinical, and regulatory, to improve efficiency, transparency, and accuracy of the data with the end goal of accelerating research and development while ensuring greater regulatory compliance. (Learn more >)
Global drug development professionals work with many systems on a day-to-day basis. These systems were not originally designed to easily share data with each other. So, they run as silos even today forcing you to download data into Excels and circulate via Email and SharePoint.
How are you handling retrieving data from legacy systems that don’t talk easily to each other while ensuring participation from all the stakeholders to submit your best response to regulatory authorities in a timely manner?
By using a Low-code workflow automation and data integration technology, our clients get a centralized platform that connects all these isolated systems and the people that need to work with them. This centralized platform brings all the relevant data, documents, and process stakeholders together in one place, thus streamlining coordination and collaboration for greater operational transparency, efficiency, and compliance.
See how Merck Optimizes its Clinical Supply Chain
By Combining workflow automation and data integration across the clinical supply chain, Merck improves transparency, accountability, and the quality review and release process. (Co-presented by Merck, Princeton Blue and Appian at the SCOPE 2023 Conference.)
