From finding the right patient population to uncovering the specific cost to bring a new treatment to market, data visualization is helping biotech and pharmaceutical teams ask the right questions and uncover insights that drive better outcomes for their patients and their businesses.
Biotech and pharmaceutical companies face a unique set of challenges when it comes to making data-driven decisions. Datasets used by biotech and pharmaceutical teams to explore and analyze trends are oftentimes complex, hard to decipher and contain vast amounts of private information.
Exploring data in Observable helps teams parse down the complexity and makes the hard-to-decipher data consumable for the entire team. Because of that, everyone can be part of the conversation and bring their expertise to the table when identifying and acting on trends and insights.
So much of the work in the pharmaceutical industry focuses on finding the right patient population for drug and treatment development. To identify clusters of relevant patients, researchers at drug manufacturer Sumitovant created a dashboard in Observable that enables them to see and navigate patient data quickly and make informed decisions. Given the consumable nature of visual communication, data visualization has also empowered stakeholders and leaders at Sumitovant to leverage data to when making decisions to invest in ongoing research and development efforts. One interactive data dashboard the team acted on uncovered an insight so powerful that they experienced a 20% increase in their potential patient targets. Data analysis from this expanded audience revealed who to target for helping to spread awareness of the new products and therapies.
TrinetX found, by showcasing the scope and depth of data, they were able to connect and engage with patients in a more compelling (and cost effective) way. With customized visualizations, they empowered patients with the ability to visually explore their personal data and ask their own questions — turning something seemingly distant and complex into digestible, tangible insights.
Cell culture experiments typically cost thousands of dollars. The entire purpose of these cell culture experiments is to gain information about individual cells, so Lucid Scientific took a look at the factors that go into estimating the cost of these experiments in order to better understand the price researchers pay for a single byte of information.
The company uses the Observable notebook to explore different factors and scenarios in order to make better informed decisions about the total estimated cost to obtain the information required to bring a new treatment to market. This can literally save millions of dollars by employing data visualization to inform more strategic research and development in advance.
Using Observable’s vast data visualization platform can greatly impact how biotech and pharmaceutical companies identify patient groups for treatment trials, engage and educate end users and better understand costs as they consider bringing new treatments to market. Start doing more with your data today.