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Ganim Medical is a Delaware, OH-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Community Medical Services is a CARF–accredited addiction treatment program providing services in the form of outpatient medication-assisted treatment and private one–on–one and group counseling, Intensive Out-Patient therapy (IOP) and Moral Reconation Therapy (MRT) to those seeking help with their substance use disorders. We have a total of 14 clinics throughout the United States. We have seven Arizona locations which cater to Phoenix, Glendale, Mesa, Scottsdale, and Tempe; a clinic in East Tucson, Northwest Tucson, Safford and Casa Grande; four clinics in Montana located in Missoula, Kalispell, Billings and Belgrade, which cater to clients in Bozeman and Helena; a clinic in Wasilla, Alaska catering to the Mat-Su Valley and Anchorage, and two clinics in North Dakota, one located in Minot, catering to clients in Williston and Bismarck and a clinic in Fargo, catering to clients from Fargo/Moorhead, West Fargo, Grand Forks, and Minnesota.
BlueCross BlueShield of Louisiana is a Baton Rouge, LA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Nanoscale Combinatorial Synthesis, Inc. is a Menlo Park, CA-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.