By Alicia Arrick – AI is no longer a futuristic concept. It’s here, and it’s reshaping everything from claims processing to radiology. But with great power comes the great responsibility of safeguarding the integrity, privacy, and security of healthcare data in a rapidly evolving digital landscape.
Read More
By Ellie Gabel – Forgotten Internet of Medical Things (IoMT) devices often sit quietly on hospital networks, but they can become some of the most dangerous blind spots for health care organizations. Left unpatched or unmanaged, these devices provide easy entry points for ransomware attacks, patient data theft and service interruptions that disrupt clinical operations.
By Matt Fisher – Access to data and the enablement of data flow are significant issues and concerns within healthcare. In particular, individuals often have a hard time getting to their own data. Those difficulties exist even with different regulations in place designed to promote and require access to data.
By Lyall Vanatta – Connecting the Dots Between Marketing and Revenue in Healthcare Through AI-Powered Call Intelligence – Healthcare organizations invest billions in marketing to attract new patients. Yet many still struggle to translate these efforts into revenue growth.
By Divya Chander MD PhD – Despite being one of the most common, costly and deadly syndromes that patients encounter, delirium is not talked about enough. As a new generation of detection technologies emerges, my hope is awareness and treatment become part of our collective consciousness. Why is this so important?
By Chelsea Richwine and Wes Barker – New data is now available for public use that helps inform the history and current state of the certified health IT market. We explore that in this blog post, which is part of our new Digital Dividends blog series.
By Matthew Resnick MD MPH – For many healthcare providers, performance measurement feels like a black box. What does the data measure? Is it accurate? And fundamentally, how should it be used? These questions are especially pressing for specialists, who often operate with little to no feedback once they leave the structured, feedback-rich environment of education and training.
By David Lareau – Health systems in the U.S. are no strangers to the slow pace of new IT implementations. For example, an electronic health record (EHR) implementation can drag on for years before the official go-live date and still not be fully implemented.
By Beth Friedman – Experts Tackle Cardiac Rhythm Monitoring Data Challenges – Imagine making sense of clinical data transmitted from thousands of remote patients, all with different cardiac devices, data formats, and submission schedules. Some data is billable, while other transmissions are not, yet all must be assessed for clinical significance as patient lives could be on the line.