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Simply Smiles is a Westport, CT-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Paramus Surgical Ctr is a Paramus, NJ-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
National Family of Local Therapy Providers providing exceptional care & remarkable experiences. #UpstreamFamily Learn more: https://t.co/fpCrnr3vfc…
Caregiver, Inc. is one of the largest providers of support services to people with intellectual and developmental disabilities and traumatic brain injury in the United States. We currently operate in Texas and Tennessee under multiple local brands, including: Daybreak Community Services Unified Care Group Southern Concepts River Gardens St. Giles Omni Support Services/Caregiver of Tennessee Our Mission is "Enabling people with intellectual and developmental disabilities to lead their unique lives with dignity, independence and inclusion." We believe in recruiting, training and developing the best people to support the individuals we serve; enabling them with tools and technology to provide individualized supports. We care deeply about the people we serve and strive to serve their unique goals and dreams. We work with integrity, accountability, transparency, and compassion in everything we do, because we understand those we serve have a choice in providers. We offer residential, intermediate care facility, supported living/foster care, day support, community integration and employment support services in both Texas and Tennessee. In addition, Caregiver has a newly developed Behavioral Support Services team supporting those we serve in Texas.
Carta empowers hospitals to personalize the delivery of care to the individual needs of each patient. Our insight here is that personalizing care is not only good from an outcome/clinical perspective (where most people focus in the context of personalization) but is also the best way to optimize operations. Currently, hospitals have to over provision their resources because they are set up to serve the generic patient; planning ahead for exactly the resources needed– no more, no less– is the best way to gain efficiency. The approach we`re advocating and enabling is to: 1) Find past patients similar to the current one being treated 2) Quantify what exactly happened to them during their journey through the hospital (this is where our model comes in) 3) Use machine learning to project what the particular patient in question will need, and what the patient can expect their experience to be in the hospital We`re applying this approach now to two use cases– supplies projection and bed usage projection– and we have a bunch of other use cases we`re planning on addressing in the future.