@KennethDion Big hospitals may have resources to tap into Big Data, but frontline community health workers may not. Companies like @DataKind could help bridge the gap, improving data collection & empowering community health workers to be part of the process https://t.co/Oet3wI1dZb #JHUBigData
@laurenfcrna @KennethDion YES! Very true! I guess the question would be how to collect data on populations that have less contact with the healthcare system than others... for example the uninsured. #JHUBigData
@KennethDion For example, an AI algorithm developed at Stanford could ID potentially problematic moles just as well as trained dermatologists, but only in white patients https://t.co/PwJ5KaoSTG #JHUBigData
@KennethDion Just like in research studies, your sample determines how applicable your findings are to the general population. If the majority of your patients are white, the predictive power of AI ad ML technology is most likely to benefit this population #JHUBigData
@KennethDion It seemed like for better or for worse, the COVID19 pandemic temporarily forced regulation to move at the pace of innovation to pool data sets and resources in order to stop the spread #JHUBigData
@laurenfcrna @KennethDion Reading about the NC3 was so interesting! Really seemed revolutionary in terms of the amount of data sharing and insights gleaned in a relatively short period of time #JHUBigData
@KennethDion In Europe, Big Data is giving cancer researchers valuable insights to explore targeted treatment options. The INFORM project is a repository of RNA sequencing & DNA profiling data from high-risk tumors in peds patients. https://t.co/T8hBHe8u8g #JHUBigData
@KennethDion I also do wonder how EHR usage impacts time spent w/ patients. In a survey of 475 frontline clinicians from IoT vendor @SOTI_Inc more than half indicated using tech in the workplace wastes time they could be spending with patients https://t.co/pU7vSYOYWh #JHUBigData
@KennethDion We now may have too many options! With a variety of EHR products now available using different terminologies and with different capabilities, data sharing and aggregation across platforms can be challenging. #JHUBigdata
@KennethDion#JHUBigdata FLHCWs play a huge role in collection of quality data. Poor EHR utility, complex workflows & lack of understanding of importance of quality data among FLHCWs unfortunately can contribute to poor data quality. https://t.co/GBq4K7LzXA
@laurenfcrna @KennethDion I completely agree! So important for FLHCW's to understand the purpose of Big Data to help ensure quality data is collected for best patient outcomes. #JHUBigData
@KennethDion#JHUBigData FLHCWs need to understand how the data they are collecting is being used to ensure high quality data is entered in the EHR. For example, assessment data can be aggregated across healthcare systems to ID new COVID symptoms as discussed here https://t.co/9q037YiMtp
Back on Twitter to join the #JHUbigdata chat about the impact of Big Data on healthcare at 4pm ET. Looking forward to an interesting discussion! @KennethDion