Health and human services is shifting to a coordinated health and social care system that addresses the behavioral and social determinants of health and wellbeing. Consider this: Accenture Citizen Pulse Survey results reveal that 63 percent of US citizens think their family’s needs would be better met if publicly funded healthcare and human services programs were more coordinated.
Delivering on this potential is a massive shift for agencies. It demands using data and analytics in entirely new ways—now. After all, data insight and analytics are non-negotiable for collaboration that truly blurs boundaries. With “data done right,” health and human services agencies can become more agile, optimize decision processes, prioritize actions, align finite resources, measure performance and speed outcomes.
Leaders from across the social services community told their organizations’ analytics stories at the 2016 Health and Human Services Summit. Some organizations have only just begun the journey, while others are trailblazers. All share a laser focus on transforming data insight into outcomes.
Public service organizations today have the technology to run analytics within minutes. But it is the legal, cultural and political barriers to data sharing that prevent intervention. Ryan Oakes argues that to advance public health, society must find middle ground between personal privacy and public collaboration.
by Ryan Oakes