In the HealthTech sector, using data wisely is key, especially when ensuring data security and privacy. Evidentli, led by Guy Tsafnat and Greg Miner, aims to make this easier by focusing on data federation and data aggregation. In this Talking HealthTech episode, we take a look at what Evidentli is offering.
Data Federation Versus Data Aggregation
Understanding the difference between data federation and data aggregation is crucial for anyone interested in healthcare data. Data federation brings together data from different sources, helping to get rid of data silos. Data aggregation, on the other hand, gathers data into a central repository for analysis. While both have merits, Evidentli puts its weight behind data federation as the better option for HealthTech data.
Essential Components for Effective Data Use
Evidentli has identified key factors for turning data into usable insights in healthcare. The company uses advanced AI algorithms to organise and standardise a wide range of clinical data. The process is quite fast and boasts high levels of accuracy.
Data Federation in Global HealthTech
The focus on data federation by Evidentli can help in achieving better collaboration and outcomes on a worldwide scale. Access to data from multiple sources allows for a more rounded view of healthcare trends, aiding decision-making and innovation.
Evidentli’s Journey
The idea behind Evidentli stemmed from Guy Tsafnat's extensive research spanning over a decade, starting in 2006, under the expert guidance of Enrico Coiera. Realising its potential, Guy and Greg launched a commercial venture to bring their technology to the market. The Evidentli team has created a data platform that relies on various AI algorithms to swiftly and accurately handle clinical data.
Tackling the Issue of Unstructured Data
Unstructured data is a common problem in healthcare. Health professionals often use bespoke electronic medical records, resulting in data that's not easy to analyse. Evidentli’s technology addresses this by transforming unstructured data into a format that's more user-friendly.
The Practical Uses of Evidentli's Platform
Evidentli's approach can save time and resources in the healthcare industry. By automating the handling of data, it allows professionals to make more informed decisions, thereby improving patient care. The technology is scalable, making it applicable on a larger scale.
Conclusion
Evidentli offers a different way to manage and use healthcare data. Through their focus on data federation and their use of AI, they're trying to streamline data management in healthcare. This could make it easier for professionals to use data effectively, paving the way for better healthcare outcomes.
