Thanks to the COVID-19 pandemic, healthcare is at a crossroads where there is no going back to using age-old technologies. We’ve digitized data and changed the incentives for physicians and hospitals; this change comes at a time when consumers are expecting more from their healthcare experience. Healthcare organizations are struggling to follow their patients and their needs across various care settings. This is in part because they lack unified patient records which they could leverage to better understand their patient’s medical course and view their network in the most comprehensible manner possible. The combination of increasing patient expectations, the move to value-based care and evolving regulatory changes mean that healthcare is changing faster than ever. Yet, providers and payers are still struggling with leveraging data with the right technology.
In this webcast (10/28 1:30pm to 2:30pm EST) we’ll explore how cloud-based technology powered by Artificial Intelligence (AI) and Machine Learning assists physicians to develop predictive models for individual patients and then implement patient-specific interventions with experts from Microsoft Partner Innovaccer.
Questions that will be addressed during this webcast include:
What is the current state of healthcare in terms of managing the widely distributed data across multiple facilities? Why do we still have distributed information and a complex system of disconnected silos of information? Why is a unified patient record accessible across the continuum of care so important?
What is the concept of “unified patient records?” How can a connected care framework help to manage the complexity within healthcare and help us to create the culture of “healthcare with no address?” What predictions do you have for where value-based care will be in five years? What should organizations be doing now to get ready for these changes?
With the new CMS interoperability regulations in place, what will be the future of data connectivity and sharing in the post-COVID world?
How can advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) assist organizations in leveraging the data and efficiency they’ll need to embrace the rapidly evolving healthcare ecosystem and achieve better patient outcomes?
How are health systems changing the way they conduct their administrative, clinical, and financial operations?