Every month a legitimate workflow improvement sits in queue, the organization pays for the problem twice: once in the inefficiency the change was supposed to fix, and again in the workaround everyone built to get through the week. The backlog doesn’t show up as a line item. It shows up everywhere else.
To shift wearables from wellness tools to useful drivers of disease management, the data they generate must be as trustworthy as it is plentiful. Clear frameworks that govern how information is gathered and used are needed, along with standards for the accuracy and reliability of devices
Healthcare payments are no longer about transactions. It’s about controlling the revenue cycle. And increasingly, that control is not sitting with ISOs.
Thomas Senderovitz, senior vice president of data science at Novo Nordisk, challenges conventional notions about AI and the need for humans in the loop.
Proper data governance is essential to ensure the efficient and accurate operation of an organization. It involves creating static rules, dynamic management processes and a comprehensive set of business objectives which must be met to protect the integrity of data within the system.
A recent survey from Dimensional Insight takes a closer look at the data governance initiatives that hospitals around the United States are implementing, as well as the challenges they face.