Lack of 1) patient awareness of the program and 2) clarity around opt-out options. Global data sharing initiative examples Secondary Use ProjectĪ program aimed at extracting data from GPs for a central database Willis Towers Watson Data sharing initiatives These challenges are covered in more detail in our Big Data in Healthcare whitepaper, download to find out more.” Doris Fischer-Sanchez | Leader, Clinical and Enterprise Risk Management, These challenges are covered in more detail in our Big Data in Healthcare whitepaper, download to find out more.
Yet, the pathway to these potentially transformational changes is littered with challenges. In such a system, Big Data can help facilitate a more empirically driven healthcare system, ideally, free from bias, to drive lowered costs, improved quality of care and patient safety and ultimately better outcomes. These system limitations could be overcome by the development of a continuous learning healthcare system that harnesses Big Data to ‘fuel’ a virtuous cycle, in which research informs and influences clinical practice and clinical practice informs and influences research. Such missed opportunities result in unnecessary patient harm and serve to increase the gap between the cost of healthcare and the outcomes achieved. Many healthcare systems, though often data rich, do not properly utilise existing datasets to generate a better understanding of how to improve access to better quality care and to reduce waste.
0 kommentar(er)
