More than one powerful circumstance is at play these days, keeping healthcare and human services executives up at night.
The cost of healthcare is ballooning in the U.S., far outpacing peer nations. States and healthcare organizations are under increasing pressure to do more with less — drive operational improvements, achieve better health and financial outcomes, improve care quality and enhance stakeholder experience. Staff are overloaded and burning out. Technology, meant to ease the burden, can sometimes create more work than it replaces.
We have to do better. And the time to do it is now.
But much like technology can hinder the very efforts it is intended to help, implementing a data analytics strategy that works for you can seem like one more daunting task in an already insurmountable list of priorities.
These apprehensions are not unfounded. In fact, this is where many organizations run into problems. Traditional systems, architectures and approaches are simply not able to handle the scale, speed and variety of data in today’s fast-paced, ever-changing analytics realm. This results in a limited ability to extract maximum insights and drive optimal outcomes.