Blog
2022 Look Ahead
One CIO names the technologies and leadership strategies he'll be focused on this year: platform design, 'Virtual Care 3.0' and more.
As ambient technologies improve, additional use cases to leverage voice will emerge – that leaves us with the question of how patients and physicians are responding to voice-enabled tools in their healthcare encounters.
2022 Look Ahead
Areas of opportunity include data analytics for research, enhancing EHR capabilities and using AI algorithms to support patient care and operational efficiency, says Mike Restuccia.
Before disasters, such as tornadoes or wildfires, communities should consider designating municipal buildings as "generator and telehealth zones," where equipment and virtual-care kiosks can be moved.
SPONSORED
Health insurance companies increasingly face challenges in capturing and collecting revenue. Save time and money and prevent provider conflicts by addressing claim errors before payment.
SPONSORED
The No Surprises Act and the Transparency in Coverage Rule have brought new requirements for insurers. Deadlines for compliance are fast approaching, but we have the support and guidance you need.
Digital technologies are constantly changing. Hardware is getting faster and more efficient. Software can harness these hardware improvements to improve the functionality of technology. And so healthcare staff and citizens will hopefully have access to tools that allow tasks to be completed quicker, or more intuitively according to Dr Pritesh Mistry, King's Fund, UK.
Delivering virtual care via community broadband offers big financial and quality-of-life benefits, says our contributing writer, opening avenues to both digital equity and health equity.
SPONSORED
In the 2022 plan year, new requirements for improving healthcare cost transparency and encouraging consumer engagement will take effect. Here's what you need to know about the new NSA member ID and Advanced EOB requirements.
In the COVID-19 era, health systems recognize that existing data infrastructure is inadequate. Here are three things large datasets need to be useful.