The Life Sciences Today podcast by Healthcare IT Today brings you the most practical Life Sciences and pharma IT information. Focused on topics such as drug R&D, real world data (RWD), and clinical AI, we'll be covering a wide spectrum of technology in the pharma and life sciences space.
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The Life Sciences Today podcast by Healthcare IT Today brings you the most practical Life Sciences and pharma IT information. Focused on topics such as drug R&D, real world data (RWD), and clinical AI, we'll be covering a wide spectrum of technology in the pharma and life sciences space.
Data Cleaning and Standardization with Cornerstone AI - Life Sciences Today Podcast Episode 27
Life Sciences Today
46 minutes 43 seconds
2 months ago
Data Cleaning and Standardization with Cornerstone AI - Life Sciences Today Podcast Episode 27
We're excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Viraj Narayanan, CEO at Cornerstone AI. Cornerstone uses AI to clean and standardize healthcare data. Cleaning healthcare data is a non-sexy job that consumes staggering amounts of resources in the industry. When Narayanan was at McKesson, he had 25 PhD biostatisticians who spent 70% of their time on data cleaning.
Cornerstone AI reduces data cleaning time from 8-12 weeks to days. They maintain human oversight while accelerating processes, improve data quality while reducing processing time, and scale data volume without a linear time increase. Their primary long-term growth driver is biopharma companies. Data companies like Komodo Health embed Cornerstone technology in the data pipeline for laboratory data cleanup and LOINC code assignment. They improve LOINC assignment rates from 20-30% to 80-90%.
For more great episodes of our Life Sciences Today Podcast, check out: https://www.healthcareittoday.com/category/life-sciences-today-podcasts/
Life Sciences Today
The Life Sciences Today podcast by Healthcare IT Today brings you the most practical Life Sciences and pharma IT information. Focused on topics such as drug R&D, real world data (RWD), and clinical AI, we'll be covering a wide spectrum of technology in the pharma and life sciences space.