St Francis Medical Center & The Nicholson Foundation Grand Rounds on Behavioral Health Integration in Primary Care Part Two: Computerized Cognitive Behavioral Therapy for Depression and Addiction in Primary Care
The first in a series of three grand rounds being hosted by the St Francis Medical Center residency program through the generous support of The Nicholson Foundation.
The Affiliated Accountable Care Organizations, a program of the New Jersey Health Care Quality Institute, in partnership with the Camden Coalition of Healthcare Providers hosted a webinar on January 9 entitled "Hotspotting—Improving Care and Reducing Costs with Innovative Local Data Systems."
At the Urban Health Institute (also called the Cooper Advanced Care Center), we have developed tools to optimize our appointment scheduling, which we call predictive booking. In an ideal world, for the doctor to see 12 patients in a session, we would just schedule 12 patients and all 12 would show up. In the real world, things are not that simple.
As New Jersey families struggle to find and afford quality child care, the state is embarking on an effort to improve and rate the quality of care young children receive.
This effort promises to give working parents more information when making one of the most important decisions of their children’s lives—where their kids will spend their days during their most formative years. Known as Grow NJ Kids, this new Quality Rating and Improvement System (QRIS), will also help child care providers to improve quality through a variety of supports.
The term “Big Data" seems to be everywhere these days. It’s being used to describe how marketers learn about shoppers’ preferences, security organizations pinpoint potential risks, and demographers identify major trends. But nowhere does the use of big data have more potential to influence our quality of life than in healthcare.
In a Nicholson-sponsored article that won awards from two New Jersey journalism associations, NJSpotlight writer Meir Rinde takes an in-depth look at how big data are now making it possible to crunch large volumes of digital records to enhance healthcare decision making.
