Analytics
To help health IT leaders address the risks associated with AI, here are some key steps to help approach digital transformation in a safe and sustainable way.
So you've decided to build internally. Now what? Product management partnerships, devoted teams and future planning for technology refreshes will be key.
There is more technology than ever to support healthcare transformation, says Penn Medicine Chief Information Officer Mike Restuccia. Partnerships between health system operations and IT teams will make all the difference in how it's put to work.
At Massachusetts-based Ascentria Care Alliance, a community care platform played a critical role managing health assessments, housing inspections and supply list checks.
AI, augmented reality, biomedical sensors and beyond – by mapping out a clear vision now, we can widen our ambitions and improve modernization strategies to better harness the vast potential offered by technology advances.
Despite significant investment and well over a decade of different transformation plans and initiatives, there’s still much to do before we can say the health and care system has truly gone through a digital revolution.
While RPA has proved its success for some administrative functions, other technologies are emerging as options to help address the worker shortage and reduce workload in clinical and operational areas.
While compliance-based frameworks are not without merit, it is important that they be viewed as minimum acceptable standards and not as end goals.
One CIO names the technologies and leadership strategies he'll be focused on this year: platform design, 'Virtual Care 3.0' and more.
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.
