The healthcare delivery system has long been burdened with the task of lowering costs while improving the quality of care. But how do organizations balance these sometimes seemingly juxtaposed imperatives, while continuing to grow their bottom line, retain skilled clinicians, and improve overall wellness for the patients that they serve? With the increasing adoption of advanced technology in health care, boosted by electronic medical records and patient data management systems—data science, analytics, and process efficiencies can be used to provide meaningful visibility and insights for healthcare organizations that empower their ability to iterate positive change. How can healthcare decision-makers create financial efficiencies and continue to increase the quality of care they deliver? Let’s consider the following:
1) Optimizing clinical workflows in healthcare delivery
2) Improving quality of care by reducing unnecessary variation
3) Targeting workflows to improve patient outcomes