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The physicians of Southern Oregon Orthopedics, Inc. have been providing the residents of Southern Oregon and Northern California with high quality orthopedic care for the past 50 years. Our physicians are active staff members at Rogue Valley Medical
Collective Medical empowers care teams to improve patient outcomes by closing the communication gaps that undermine patient care through seamless collaboration. With a nationwide network engaged with every national health plan in the country, hundreds of hospitals and health systems and tens of thousands of providers—including hospitals, emergency departments, skilled nursing facilities, primary care providers, mental and behavioral health clinics, and others—Collective Medical`s system-agnostic platform is trusted by healthcare organizations and payers to identify at-risk and complex patients and facilitate actionable collaboration to make better care decisions and improve outcomes. Based in Salt Lake City, Collective Medical is proven to streamline transitions of care, improve coordination across diverse care teams, and reduce unnecessary hospital admissions.
ABELSoft Corporation is a Niagara Falls, NY-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
BHcare is a state-licensed, non-profit behavioral health care provider serving the Lower Naugatuck Valley, Greater New Haven, and Shoreline communities. For more than 30 years, BHcare – through its founding organizations, Birmingham Group Health Services and Harbor Health Services – has been providing hope and help for individuals, families and children affected by mental illness, domestic violence and substance abuse.
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.