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Graham Behavioral Services is a Augusta, ME-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Titan Instruments is a Hamburg, NY-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Norterre is a revolutionary multi-generational wellness and residential living neighborhood located in the heart of Liberty, Missouri. This master-planned community is the first of its kind in the country, consisting of a significant residential component for all stages of life, including young families, active adults and seniors. Steve Shields, an internationally-known change-agent and innovator of the Senior Living Household Model, is the mastermind behind this revolutionary concept and serves as CEO and managing partner of Norterre. Norterre partners include Liberty Hospital and Healthy Living Centers of America. Norterre will be built on a 17-acre piece of land adjacent to Liberty Hospital, with large greenspaces for cross-generational and cultural activities. A 50,000-square-foot healthy living center will be the neighborhood’s “town square” where young adults, parents and grandparents from all over the Northland can come together to work out, take yoga classes, socialize, build strength, receive physical therapy, learn about wellness, and reach personal milestones in a supportive environment unlike any other. Individuals from near and far can become members to improve physical, mental and spiritual well-being, and doctors can also write prescriptions for patients to take part in physical therapy or specialized programs. Many refer to this concept as a game-changer, as it will unite people of all ages in a way never been done before.
Specialty Carts is a Saint Louis, MO-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
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.